subjectId
Discipline Name
Subject Name
Coordinators
Type
Institute
Content
111101001
Mathematics
Algebra II
Prof. Jugal K. Verma
Web
IIT Bombay
Select
Lecture 1 : Introduction and Overview
Lecture 2 : Algebraic extensions I
Lecture 3 : Algebraic Extensions II
Problem Set 1 : Algebraic Extensions
Lecture 4 : Ruler and Compass Constructions I
Lecture 5 : Ruler and Compass Constructions II
Problem Set 2 : Ruler and Compass Constructions
Tutorial 1 : Algebraic Extensions and Ruler and Compass Constructions
Lecture 6 : Symmetric Polynomials I
Lecture 7 : Symmetric Polynomials II
Problem set 3 : Symmetric Polynomials
Lecture 8 : Algebraic Closure of a Field
Problem set 4 : Splitting Fields
Tutorial 2 : Symmetric Polynomials and Splitting Fields
Lecture 9 : Separable Extensions I
Lecture 10 : Separable Extensions II
Problem set 5 : Separable Extensions
Lecture 11 : Finite Fields I
Tutorial 3 : Separable Extensions and Finite Fields
Problem set 6 : Finite Fields
Lecture 12 : The Primitive Element Theorem
Problem set 7 : Primitive elements
Tutorial 4 : Finite Fields and Primitive Elements
Lecture 13 : Normal Extensions
Lecture 14 : Galois group of a Galois Extension I
Lecture 15 : Galois group of a Galois Extension II
Problem set 8 : Fundamental Theorem of Galois Theory
Tutorial 5 : Fundamental Theorem of Galois Theory
Lecture 16 : Applications and Illustrations of the FTGT
Lecture 17 : Cyclotomic Extensions I
Lecture 18 : Cyclotomic Extensions II
Problem Set 9 : Cyclotomic Extensions
Lecture 19 : Abelian and Cyclic Extensions
Lecture 20 : Cyclic Extensions and Solvable Groups
Tutorial 6 : Cyclotomic Extensions
Lecture 21 : Galois Groups of Composite Extensions
Lecture 22 : Solvability by Radicals
Problem Set 10 : Solvability by Radicals
Lecture 23 : Solutions of Cubic and Quartic Equations
Lecture 24 : Galois Groups of Quartic Polynomials
Problem Set 11 : Galois groups of Quartic Polynomials.
Tutorial 7 : Galois Groups of Quartics and Solvability by Radicals
Lecture 25 : Norm, Trace and Hilbert's Theorem 90
Problem Set 12 : Cyclic Extensions
Lecture 26 : Polynomials with Galois Group Sn:
111101002
Mathematics
Algebraic Topology
Prof. G.K. Srinivasan
Web
IIT Bombay
Select
Lecture 1: Introduction
Lecture 2 : Preliminaries from general topology
Lecture 3 : More Preliminaries from general topology
Lecture 4 : Further preliminaries from general topology
Lecture 5 : Topological groups
Lecture 6 : Test - 1
Lecture 7 : Paths, homotopies and the fundamental group
Lecture 8 : Categories and Functors
Lecture 9 : Functorial properties of the fundamental group
Lecture 10 : Brouwers theorem and its applications
Lecture 11 : Homotopies of maps. Deformation retracts
Lecture 12 & 13 : The fundamental group of the circle.
Lecture 14 : Test - II
Lecture 15 : Covering Projections
Lecture 16 : Lifting of paths and homotopies
Lecture 17 : Action of the fundamental group on the fibers
Lecture 18 : The lifting criterion
Lecture 19 : Deck transformations
Lecture 20 : Orbit Spaces
Lecture 21 : Test - III
Lecture 22 : Fundamental groups of certain orthogonal groups
Lecture 23 & 24 : Coproducts and push-outs
Lecture 25 : Adjunction Spaces
Lecture 26 : Seifert Van Kampen theorem
Lecture 27 : Test - IV
Lecture 28 : Introductory remarks on homology theory
Lecture 29 & 30 : The Singular chain complex and homology groups
Lecture 31 : The homology groups and their functoriality
Lecture 32 : The abelianization of the fundamental group
Lecture 33 : Homotopy invariance of homology
Lecture 34 : Small Simplicies
Lecture 35 : The Mayer Vietoris sequence and its applications
Lecture 36 : Maps of Spheres
Lecture 37 : Test - V
Lecture 38 : Relative homology
Lecture 39 : Excisim Theorem
Lecture 40 : Inductive limits
Lecture 41 : The Jordan-Brouwer separation theorem
111101003
Mathematics
Elementary Numerical Analysis
Prof. Rekha P. Kulkarni
Video
IIT Bombay
Select
L1- Introduction
L2-Polynomial Approximation
L3-Interpolating Polynomials
L4-Properties of Divided Difference
L5-Error in the Interpolating polynomial
L6-Cubic Hermite Interpolation
L7-Piecewise Polynomial Approximation
L8-Cubic Spline Interpolation
L9-Tutorial 1
L10-Numerical Integration: Basic Rules
L11-Composite Numerical Integration
L12-Gauss 2-point Rule: Construction
L13-Gauss 2-point Rule: Error
L14-Convergence of Gaussian Integration
L15-Tutorial 2
L16-Numerical Differentiation
L17-Gauss Elimination
L18-L U decomposition
L19-Cholesky decomposition
L20-Gauss Elimination with partial pivoting
L21-Vector and Matrix Norms
L22-Perturbed Linear Systems
L23-Ill-conditioned Linear System
L24-Tutorial 3
L25-Effect of Small Pivots
L26-Solution of Non-linear Equations
L27-Quadratic Convergence of Newton's Method
L28-Jacobi Method
L29-Gauss-Seidel Method
L30-Tutorial 4
L31-Initial Value Problem
L32-Multi-step Methods
L33-Predictor-Corrector Formulae
L34-Boundary Value Problems
L35-Eigenvalues and Eigenvectors
L36-Spectral Theorem
L37-Power Method
L38-Inverse Power Method
L39-Q R Decomposition
L40-Q R Method
111101004
Mathematics
Introduction to Probability Theory
Dr. K. Suresh Kumar
Web
IIT Bombay
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Chapter 1 : Introduction
Chapter 2 : Random Variables
Chapter 3 : Conditional Probability and Independence
Chapter 4 : Distributions
Chapter 5 : Random Vectors , Joined Distributions
Chapter 6 : Expectation and Conditional Expectation
Chapter 7 : Characteristic Functions
Chapter 8 : Limit Theorems
111101005
Mathematics
Measure and Integration
Prof. Inder K Rana
Video
IIT Bombay
Select
L1- Introduction ,Extended Real numbers
L2-Algebra and Sigma Algebra of a subset of a set
L3-Sigma Algebra generated by a class
L4-Monotone Class
L5-Set function
L6-The Length function and its properties
L7-Countably additive set functions on intervals
L8-Uniqueness Problem for Measure
L9-Extension of measure
L10-Outer measure and its properties
L11-Measurable sets
L12-Lebesgue measure and its properties
L13-Characterization of Lebesque measurable sets
L14-Measurable functions
L15-Properties of measurable functions
L16-Measurable functions on measure spaces
L17-Integral of non negative simple measurable functions
L18-Properties of non negative simple measurable functions
L19-Monotone convergence theorem & Fatou's Lemma
L20-Properties of Integral functions & Dominated Convergence Theorem
L21-Dominated Convergence Theorem and applications
L22-Lebesgue Integral and its properties
L23-Denseness of continuous function
L24-Product measures, an Introduction
L25-Construction of Product Measure
L26-Computation of Product Measure-I
L27-Computation of Product Measure-II
L28-Integration on Product spaces
L29-Fubini's Theorems
L30-Lebesgue Measure and integral on R2
L31-Properties of Lebesgue Measure and integral on Rn
L32-Lebesgue integral on R2
L33-Integrating complex-valued functions
L34-Lp - spaces
L35-L2(X,S,mue)
L36-Fundamental Theorem of calculas for Lebesgue Integral-I
L37-Fundamental Theorem of calculus for Lebesgue Integral-II
L38-Absolutely continuous measures
L39-Modes of convergence
L40-Convergence in Measure
111102011
Mathematics
Linear Algebra
Dr. R. K. Sharma,Dr. Wagish Shukla
Web
IIT Delhi
Select
Vectors Spaces
Polynomials in one Variable
Matrices and linear transformations
Classical and Quantum Computation of dual basis1
More onVector Spaces and Linear transformations
Eigenvalues and Eigenvectors
Diagonalization
Sesqui or Bi-Linear Forms
More on sesqui or bi-linear forms
Inner Product Space
Orthogonal and Orthonormal Basis
Generalized Inverse
111101080
Mathematics
Mathematics in India - From Vedic Period to Modern Times
Prof. M.D.Srinivas , Prof.M.S.Sriram, Prof.K.Ramasubramanian
Video
IIT Bombay
Select
Indian Mathematics: An Overview
Vedas and Sulbasutras - Part 1
Vedas and Sulbasutras - Part 2
Panini's Astadhyayi
Pingala's Chandahsastra
Decimal place value system
Aryabhatiya of Aryabhata - Part 1
Aryabhatiya of Aryabhata - Part 2
Aryabhatiya of Aryabhata - Part 3
Aryabhatiya of Aryabhata - Part 4 and Introduction to Jaina Mathematics
Brahmasphutasiddhanta of Brahmagupta - Part 1
Brahmasphutasiddhanta of Brahmagupta - Part 2
Brahmasphutasiddhanta of Brahmagupta - Part 3
Brahmasphutasiddhanta of Brahmagupta - Part 4 and The BakhshaliManuscript
Mahaviras Ganitasarasangraha
Mahaviras Ganitasarasangraha 2
Mahaviras Ganitasarasangraha 3
Development of Combinatorics 1
Development of Combinatorics 2
Lilavati of Bhaskaracarya 1
Lilavati of Bhaskaracarya 2
Lilavati of Bhaskaracarya 3
Bijaganita of Bhaskaracarya 1
Bijaganita of Bhaskaracarya 2
Ganitakaumudi of Narayana Pandita 1
Ganitakaumudi of Narayana Pandita 2
Ganitakaumudi of Narayana Pandita 3
Magic Squares - Part 1
Magic Squares - Part 2
Development of Calculus in India 1
Development of Calculus in India 2
Jyanayanam: Computation of Rsines
Trigonometry and Spherical Trigonometry 1
Trigonometry and Spherical Trigonometry 2
Trigonometry and Spherical Trigonometry 3
Proofs in Indian Mathematics 1
Proofs in Indian Mathematics - Part 2
Proofs in Indian Mathematics 3
Mathematics in Modern India 1
Mathematics in Modern India 2
111102012
Mathematics
Linear Programming Problems
Dr. Aparna Mehra
Web
IIT Delhi
Select
Linear programming modeling, Optimal solutions and grap
Notion of convex set, convex function, their prope
Preliminary definitions (like convex combination,
Optimal hyper-plane and existence of optimal solut
Basic feasible solutions: algebraic interpretation
Relationship between extreme points and correspond
Adjacent extreme points and corresponding BFS alo
Fundamental theorem of LPP and its illustration th
LPP in canonical form to get the initial BFS & meth
Case of unbounded LPP, Simplex algorithm and illustrati
Artificial variables and its interpretation in co
Two phase method and illustration
Degeneracy and its consequences including cases of cycl
Introduction to duality & formulation of dual LPP for d
Duality theorems and their interpretations
Complementary slackness theorem, Farkas Lemma, Ex
Economic interpretation & applications of duality
Dual simplex method and its illustration
Post optimality analysis: the cases of change in re
Sensitivity analysis for addition and deletion of
Lecture 3
Karmarkar's interior point method
How to model the given LPP in Karmarkar's framewo
Complexity issue of Karmarkar's method
Integer programming: modeling & a look at its feasi
Gomory cut algorithm and derivation of cut equatio
Examples
Branch and Bound algorithm
Special LPPs: Transportation programming problem, m
Initial BFS and optimal solution of balanced TP pr
Other forms of TP and requisite modifications
Assignment problems and permutation matrix
Hungarian Method
Duality in Assignment Problems
Network Problems and LPP Formulation
Network Simplex Method:
111102014
Mathematics
Stochastic Processes
Dr. S. Dharmaraja
Video
IIT Delhi
Select
Introduction to Stochastic Processes
Introduction to Stochastic Processes (Contd.)
Problems in Random Variables and Distributions
Problems in Sequences of Random Variables
Definition, Classification and Examples
Simple Stochastic Processes
Stationary Processes
Autoregressive Processes
Introduction, Definition and Transition Probability Matrix
Chapman-Kolmogrov Equations
Classification of States and Limiting Distributions
Limiting and Stationary Distributions
Limiting Distributions, Ergodicity and Stationary Distributions
Time Reversible Markov Chain, Application of Irreducible Markov Chain in Queueing Models
Reducible Markov Chains
Definition, Kolmogrov Differential Equations and Infinitesimal Generator Matrix
Limiting and Stationary Distributions, Birth Death Processes
Poisson Processes
M/M/1 Queueing Model
Simple Markovian Queueing Models
Queueing Networks
Communication Systems
Stochastic Petri Nets
Conditional Expectation and Filtration
Definition and Simple Examples
Definition and Properties
Processes Derived from Brownian Motion
Stochastic Differential Equations
Ito Integrals
Ito Formula and its Variants
Some Important SDE`s and Their Solutions
Renewal Function and Renewal Equation
Generalized Renewal Processes and Renewal Limit Theorems
Markov Renewal and Markov Regenerative Processes
Non Markovian Queues
Non Markovian Queues Cont,,
Application of Markov Regenerative Processes
Galton-Watson Process
Markovian Branching Process
111103016
Mathematics
Formal Languages and Automata Theory
Dr. Diganta Goswami, Dr. K.V. Krishna
Video
IIT Guwahati
Select
Introduction
Alphabet, Strings, Languages
Finite Representation
Grammars (CFG)
Derivation Trees
Regular Grammars
Finite Automata
Nondeterministic Finite Automata
NFA <=> DFA
Myhill-Nerode Theorem
Minimization
RE => FA
FA => RE
FA <=> RG
Variants of FA
Closure Properties of RL
Homomorphism
Pumping Lemma
Simplification of CFG
Normal Forms of CFG
Properties of CFLs
Pushdown Automata
PDA <=> CFG
Turing Machines
Turing Computable Functions
Combining Turing Machines
Multi Input
Turing Decidable Languages
Varients of Turing Machines
Structured Grammars
Decidability
Undecidability1
Undecidability2
Undecidability3
Time Bounded Turing Machines
P and NP
NP-Completeness
NP-Complete Problems1
NP-Complete Problems2
NP-Complete Problems3
Chomsky Hierarchy
111103020
Mathematics
Number Theory
Dr. Anupam Saikia
Web
IIT Guwahati
Select
Introduction
Decimal Expansion of a Positive Integer
Euclid's Algorithm
Coprime Integers
Prime Numbers
Prime Number Theorem
Congruence
Linear Congruence
Simultaneous Linear Congruences
System of Congruences with Non-coprime Moduli
Linear Congruences Modulo Prime Powers
Fermat's Little Theorem
Pseudo-primes
Greatest Integer Function
Euler's function
RSA Cryptosystem
Arithmetic Functions
Mobius Function
Dirichlet Product
Units Modulo an Integer
Existence of Primitive Roots for Primes
Primitive Roots for Powers of 2
Definition and Examples
Gauss Lemma
Quadratic Reciprocity
Quadratic Residues of Powers of an Odd Prime
The Jacobi Symbol
Definition and Examples .
Discriminant of a Quadratic Form
Proper Representation and Equivalent Forms
Uniqueness of Equivalent Reduced Form
Class Number
Fermat Primes
Primes Expressible as a Sum of Two Squares
Sum of Three Squares
Finite Continued Fractions
Euler's Rule
Infinite Continued Fractions
Periodic Continued Fractions
Conjugate of a Quadratic Irrational
Continued Fractions of Reduced Quadratic Irrationals
Best Rational Approximation to an Irrational
Pell's Equation
Riemann Zeta Function
Dirichlet Series
Lucas Test for Primality
Pollard's Method for Factorization
Fermat's Factorization
Fermat's Conjecture
Exercise-1
Exercise-2
Exercise-3
Exercise-4
Exercise-5
Exercise-6
Exercise-7
Exercise-8
Exercise -9
Bibliography
Index
111103021
Mathematics
Partial Differential Equations
Dr. Rajen Kumar Sinha
Web
IIT Guwahati
Select
A Review of Multivariable Calulus
Essential Ordinary Differential Equations
Surfaces and Integral Curves
Solving Equations dx/P = dy/Q = dz/R
First-Order Partial Differential Equations
Linear First-Order PDEs
Quasilinear First-Order PDEs
Nonlinear First-Order PDEs
Compatible Systems and Charpit�s Method
Some Special Types of First-Order PDEs
Jacobi Method for Nonlinear First-Order PDEs
Classification of Second-Order PDEs
Canonical Forms or Normal Forms
Superposition Principle and Wellposedness
Introduction to Fourier Series
Convergence of Fourier Series
Fourier Cosine and Sine Series
Modeling the Heat Equation
The Maximum and Minimum Principle
Method of Separation of Variables
Time-Independent Homogeneous BC
Time-Dependent BC
Mathematical Formulation and Uniqueness Result
The Infinite String Problem
The Semi-Infinite String Problem
The Finite Vibrating String Problem
The Inhomogeneous Wave Equation
Basic Concepts and The Maximum/Minimum Principle
Green�s Identity and Fundamental Solutions
The Dirichlet BVP for a Rectangle
The Mixed BVP for a Rectangle
The Dirichlet Problems for Annuli
The Dirichlet Problem for the Disk
Fourier Transform
Fourier Sine and Cosine Transformations
Heat Flow Problems
Vibration of an Infinite String
Laplace�s Equation in a Half-Plane
The Laplace Equation
The Wave Equation
The Heat Equation
Bibliography
111103070
Mathematics
Complex Analysis
Prof. P. A. S. Sree Krishna
Video
IIT Guwahati
Select
Introduction
Introduction to Complex Numbers
de Moivre's Formula and Stereographic Projection
Topology of the Complex Plane Part-I
Topology of the Complex Plane Part-II
Topology of the Complex Plane Part-III
Introduction to Complex Functions
Limits and Continuity
Differentiation
Cauchy-Riemann Equations and Differentiability
Analytic functions; the exponential function
Sine, Cosine and Harmonic functions
Branches of Multifunctions; Hyperbolic Functions
Problem Solving Session I
Integration and Contours
Contour Integration
Introduction to Cauchy's Theorem
Cauchy's Theorem for a Rectangle
Cauchy's theorem Part - II
Cauchy's Theorem Part - III
Cauchy's Integral Formula and its Consequences
The First and Second Derivatives of Analytic Functions
Morera's Theorem and Higher Order Derivatives of Analytic Functions
Problem Solving Session II
Introduction to Complex Power Series
Analyticity of Power Series
Taylor's Theorem
Zeroes of Analytic Functions
Counting the Zeroes of Analytic Functions
Open mapping theorem – Part I
Open mapping theorem – Part II
Properties of Mobius Transformations Part I
Properties of Mobius Transformations Part II
Problem Solving Session III
Removable Singularities
Poles Classification of Isolated Singularities
Essential Singularity & Introduction to Laurent Series
Laurent's Theorem
Residue Theorem and Applications
Problem Solving Session IV
111104024
Mathematics
Applied Multivariate Analysis
Dr. Amit Mitra,Dr. Sharmishtha Mitra
Video
IIT Kanpur
Select
Prologue
Lecture-01 Basic concepts on multivariate distribution.
Lecture - 02 Basic concepts on multivariate distribution.
Lecture - 03 Multivariate normal distribution. � I
Lecture - 04 Multivariate normal distribution. � II
Lecture - 05 Multivariate normal distribution. � III
Lecture - 06 Some problems on multivariate distributions. � I
Lecture - 07 Some problems on multivariate distributions. � II
Lecture - 08 Random sampling from multivariate normal distribution and Wishart distribution. � I
Lecture - 09 Random sampling from multivariate normal distribution and Wishart distribution. � II
Lecture - 10 Random sampling from multivariate normal distribution and Wishart distribution. � III
Lecture - 11 Wishart distribution and it�s properties. �I
Lecture - 12 Wishart distribution and it�s properties.- II
Lecture -13 Hotelling�s T2 distribution and it�s applications.
Lecture - 14 Hotelling�s T2 distribution and various confidence intervals and regions.
Lecture- 15 Hotelling�s T2 distribution and Profile analysis.
Lecture - 16 Profile analysis.-I
Lecture - 17 Profile analysis. �II
Lecture - 18 MANOVA.-I
Lecture - 19 MANOVA.- II
Lecture - 20 MANOVA .- III
Lecture -21 MANOVA & Multiple Correlation Coefficient
Lecture -22 Multiple Correlation Coefficient
Lecture 23 Principal Component Analysis
Lecture -24 Principal Component Analysis
Lecture -25 Principal Component Analysis
Lecture -26 Cluster Analysis
Lecture -27 Cluster Analysis
Lecture -28 Cluster Analysis
Lecture -29 Cluster Analysis
Lecture -30 Discriminant Analysis and Classification
Lecture -31 Discriminant Analysis and Classification
Lecture -32 Discriminant Analysis and Classification
Lecture -33 Discriminant Analysis and Classification
Lecture -34 Discriminant Analysis and Classification
Lecture -35 Discriminant Analysis and Classification
Lecture -36 Discriminant Analysis and Classification
Lecture -37 Factor_Analysis
Lecture 38 Factor_Analysis
Lecture -39 Factor_Analysis
Lecture -40 Cannonical Correlation Analysis
Lecture -41 Cannonical Correlation Analysis
Lecture -42 Cannonical Correlation Analysis
Lecture -43 Cannonical Correlation Analysis
111104025
Mathematics
Calculus of Variations and Integral Equations
Prof. D. Bahuguna,Dr. Malay Banerjee
Video
IIT Kanpur
Select
Lecture-01-Calculus of Variations and Integral Equations
Lecture-02-Calculus of Variations and Integral Equations
Lecture-03-Calculus of Variations and Integral Equations
Lecture-04-Calculus of Variations and Integral Equations
Lecture-05-Calculus of Variations and Integral Equations
Lecture-06-Calculus of Variations and Integral Equations
Lecture-07-Calculus of Variations and Integral Equations
Lecture-08-Calculus of Variations and Integral Equations
Lecture-09-Calculus of Variations and Integral Equations
Lecture-10-Calculus of Variations and Integral Equations
Lecture-11-Calculus of Variations and Integral Equations
Lecture-12-Calculus of Variations and Integral Equations
Lecture-13-Calculus of Variations and Integral Equations
Lecture-14-Calculus of Variations and Integral Equations
Lecture-15-Calculus of Variations and Integral Equations
Lecture-16-Calculus of Variations and Integral Equations
Lecture-17-Calculus of Variations and Integral Equations
Lecture-18-Calculus of Variations and Integral Equations
Lecture-19-Calculus of Variations and Integral Equations
Lecture-20-Calculus of Variations and Integral Equations
Lecture-21-Calculus of Variations and Integral Equations
Lecture-22-Calculus of Variations and Integral Equations
Lecture-23-Calculus of Variations and Integral Equations
Lecture-24-Calculus of Variations and Integral Equations
Lecture-25-Calculus of Variations and Integral Equations
Lecture-26-Calculus of Variations and Integral Equations
Lecture-27-Calculus of Variations and Integral Equations
Lecture-28-Calculus of Variations and Integral Equations
Lecture-29-Calculus of Variations and Integral Equations
Lecture-30-Calculus of Variations and Integral Equations
Lecture-31-Calculus of Variations and Integral Equations
Lecture-32-Calculus of Variations and Integral Equations
Lecture-33-Calculus of Variations and Integral Equations
Lecture-34-Calculus of Variations and Integral Equations
Lecture-35-Calculus of Variations and Integral Equations
Lecture-36-Calculus of Variations and Integral Equations
Lecture-37-Calculus of Variations and Integral Equations
Lecture-38-Calculus of Variations and Integral Equations
Lecture-39-Calculus of Variations and Integral Equations
Lecture-40-Calculus of Variations and Integral Equations
111104026
Mathematics
Discrete Mathematics
Prof. A.K. Lal
Web
IIT Kanpur
Select
Contents
Basic Set Theory
Well Ordering Principle and the Principle of Mathematical Induction
Strong Form of the Principle of Mathematical Induction
Division Algorithm and the Fundamental Theorem of Arithmetic
Relations, Partitions and Equivalence Relation
Functions
Distinguishable Balls
Binomial Theorem
Onto Functions and the Stirling Numbers of Second Kind
Indistinguishable Balls and Distinguishable Boxes
Indistinguishable Balls in Indistinguishable Boxes
Lattice Paths and Catalan Numbers
Catalan Numbers Continued
Generalizations
Pigeonhole Principle
Pigeonhole Principle Continued
Principle of Inclusion and Exclusion
Formal Power Series
Formal Power Series Continued
Application to Recurrence Relation
Application to Recurrence Relation Continued
Application to Recurrence Relation Continued
Applications to Generating Functions Continued
Groups
Example of Groups
SubGroups
Lagrange�s Theorem
Applications of Lagrange�s Theorem
Group Action
Group Action Continued
The Cycle Index Polynomial
Polya Inventory Theorem
Basic Graph Theory
Graph Operations
Matrices related with Graphs
Matrix Tree Theorem
Eulerian graphs
Planar Graphs
Euler�s Theorem for Planar Graphs
Stereographic Projection
111104027
Mathematics
Linear programming and Extensions
Prof. Prabha Sharma
Video
IIT Kanpur
Select
Lecture_01_Introduction to Linear Programming Problems.
Lecture_02_ Vector space, Linear independence and dependence, basis.
Lec_03_Moving from one basic feasible solution to another, optimality criteria.
Lecture_04_Basic feasible solutions, existence & derivation.
Lecture_5_Convex sets, dimension of a polyhedron, Faces, Example of a polytope.
Lecture_6_Direction of a polyhedron, correspondence between bfs and extreme points.
Lecture_7_Representation theorem, LPP solution is a bfs, Assignment 1.
Lecture_08_Development of the Simplex Algorithm, Unboundedness, Simplex Tableau.
Lecture_9_ Simplex Tableau & algorithm ,Cycling, Bland�s anti-cycling rules, Phase I & Phase II.
Lecture_10_ Big-M method,Graphical solutions, adjacent extreme pts and adjacent bfs.
Lecture_11_Assignment 2, progress of Simplex algorithm on a polytope, bounded variable LPP.
Lecture_12_LPP Bounded variable, Revised Simplex algorithm, Duality theory, weak duality theorem.
Lecture_13_Weak duality theorem, economic interpretation of dual variables, Fundamental theorem of duality.
Lecture_14_Examples of writing the dual, complementary slackness theorem.
Lecture_15_Complementary slackness conditions, Dual Simplex algorithm, Assignment 3.
Lecture_16_Primal-dual algorithm.
Lecture_17_Problem in lecture 16, starting dual feasible solution, Shortest Path Problem.
Lecture_18_Shortest Path Problem, Primal-dual method, example.
Lecture_19_Shortest Path Problem-complexity, interpretation of dual variables, post-optimality analysis-changes in the cost vector.
Lecture_20_ Assignment 4, postoptimality analysis, changes in b, adding a new constraint, changes in {aij} , Parametric analysis.
Lecture_21_Parametric LPP-Right hand side vector.
Lecture_22_Parametric cost vector LPP.
Lecture_23_Parametric cost vector LPP, Introduction to Min-cost flow problem.
Lecture_24_Mini-cost flow problem-Transportation problem.
Lecture_25_Transportation problem degeneracy, cycling
Lecture_26_ Sensitivity analysis.
Lecture_27_ Sensitivity analysis.
Lecture_28_Bounded variable transportation problem, min-cost flow problem.
Lecture_29_Min-cost flow problem
Lecture_30_Starting feasible solution, Lexicographic method for preventing cycling ,strongly feasible solution
Lecture_31_Assignment 6, Shortest path problem, Shortest Path between any two nodes,Detection of negative cycles.
Lecture_32_ Min-cost-flow Sensitivity analysis Shortest path problem sensitivity analysis.
Lecture_33_Min-cost flow changes in arc capacities , Max-flow problem, assignment 7
Lecture_34_Problem 3 (assignment 7), Min-cut Max-flow theorem, Labelling algorithm.
Lecture_35_Max-flow - Critical capacity of an arc, starting solution for min-cost flow problem.
Lecture_36_Improved Max-flow algorithm.
Lecture_37_Critical Path Method (CPM).
Lecture_38_Programme Evaluation and Review Technique (PERT).
Lecture_39_ Simplex Algorithm is not polynomial time- An example.
Lecture_40_Interior Point Methods .
111104030
Mathematics
Numerical Solution of ODEs
Prof. M.K. Kadalbajoo
Web
IIT Kanpur
Select
Preliminaries
Existence, Uniqueness, and Wellposedness
Stability and Asymptotic Stability
The Euler Method
Convergence of Euler�s Method
Improvement of the error bound
Stability
Higher Order Methods
Runge-Kutta Methods
Error bounds for Runge-Kutta methods
Absolute Stability for Runge-Kutta Methods
Systems of Equations
Direct Methods For Higher Order Equations
General Single Step Methods
Convergence of General One-Step Methods
Derivation of Implicit Runge-Kutta methods
Derivation of Implicit Runge-Kutta Methods(Contd.)
Multistep Methods
Multistep Methods(Contd.)
Multistep Methods(Contd..)
The local error of the formulas based on integration
Local Error of Nystrom & Milne-Simpson Methods
Multistep Methods for Special Equations of the Second Order
Special 2nd order equations(Contd.)
Linear Multistep Methods
Linear Multistep Methods(Contd)
Consistency and Zero-Stability of Linear Multistep Methods
Convergence of Linear Multistep Methods
Necessary & Sufficient Conditions for Convergence
Absolute Stability and Relative Stability
General methods for finding intervals of absolute and relative stability
Some more methods for Absolute & Relative Stability
First order linear systems with constant coefficient
Stiffness and Problem of Stiffness
The problem of implicitness for Stiff systems
Linear multistep methods for Stiff systems
Finite Difference Methods
Analysis of Difference System
Analytic Expression of the Error
Nonlinear second order equations
Special Boundary Value Problems
Special Boundary Value Problems(Contd.)
111104031
Mathematics
Ordinary Differential Equations
Prof. V. Raghavendra
Web
IIT Kanpur
Select
Preliminaries
Picard's Successive Approximations
Picard's Theorem
Continuation and Dependence on Initial conditions
Existence of Solutions in the Large
Existence and Uniqueness of Solutions of Systems
Cauchy-Peano theorem
Introduction
Linear Dependence and Wronskian
Basic Theory for Linear Equations
Method of Variation of Parameters
Homogeneous Linear Equations with Constant Coefficients
Introduction- module 3
Systems of First Order Equations
Fundamental Matrix
Non-homogeneous linear Systems
Linear Systems with Constant Coefficients
Phase Portraits-Introduction
Phase Portraits (continued)
Introduction - module 4
Sturm's Comparison Theorem
Elementary Linear Oscillations
Boundary Value Problems
Sturm-Liouville Problem
Green's Functions
Introduction -Module 5
Linear Systems with Constant Coefficient (module5)
Linear Systems with Variable Coefficients
Second Order Linear Differential Equations
Stability of Quasi-linear Systems
Stability of Autonomous Systems
Stability of Non-Autonomous Systems
A Particular Lyapunov Function
111104068
Mathematics
Convex Optimization
Dr. Joydeep Dutta
Video
IIT Kanpur
Select
Lecture-01 Convex Optimization
Lecture-02 Convex Optimization
Lecture-03 Convex Optimization
Lecture-04 Convex Optimization
Lecture-05 Convex Optimization
Lecture-06 Convex Optimization
Lecture-07 Convex Optimization
Lecture-08 Convex Optimization
Lecture-09 Convex Optimization
Lecture-10 Convex Optimization
Lecture-11 Convex Optimization
Lecture-12 Convex Optimization
Lecture-13 Convex Optimization
Lecture-14 Convex Optimization
Lecture-15 Convex Optimization
Lecture-16 Convex Optimization
Lecture-17 Convex Optimization
Lecture-18 Convex Optimization
Lecture-19 Convex Optimization
Lecture-20 Convex Optimization
Lecture-21 Convex Optimization
Lecture-22 Convex Optimization
Lecture-23 Convex Optimization
Lecture-24 Convex Optimization
Lecture-25 Convex Optimization
Lecture-26 Convex Optimization
Lecture-27 Convex Optimization
Lecture-28 Convex Optimization
Lecture-29 Convex Optimization
Lecture-30 Convex Optimization
Lecture-31 Convex Optimization
Lecture-32 Convex Optimization
Lecture-33 Convex Optimization
Lecture-34 Convex Optimization
Lecture-35 Convex Optimization
Lecture-36 Convex Optimization
Lecture-37 Convex Optimization
Lecture-38 Convex Optimization
Lecture-39 Convex Optimization
Lecture-40 Convex Optimization
Lecture-41 Convex Optimization
Lecture-42 Convex Optimization
111104072
Mathematics
Econometric Theory
Prof. Shalabh
Web
IIT Kanpur
Select
main
Lecture1
Lecture2
Lecture3
Lecture4
Lecture5
Lecture6
Lecture7
Lecture8
Lecture9
Lecture10
Lecture11
Lecture12
Lecture13
Lecture14
Lecture15
Lecture16
Lecture17
Lecture18
Lecture19
Lecture20
Lecture21
Lecture22
Lecture23
Lecture24
Lecture25
Lecture26
Lecture27
Lecture28
Lecture29
Lecture30
Lecture31
Lecture32
Lecture33
Lecture34
Lecture35
Lecture36
Lecture37
Lecture38
Lecture39
Lecture40
Lecture41
Lecture42
Lecture43
Lecture44
Lecture45
Bibliography
111104073
Mathematics
Sampling Theory
Prof. Shalabh
Web
IIT Kanpur
Select
Lecture1
Lecture2
Lecture3
Lecture4
Lecture5
Lecture6
Lecture7
Lecture8
Lecture9
Lecture10
Lecture11
Lecture12
Lecture13
Lecture14
Lecture15
Lecture16
Lecture17
Lecture18
Lecture19
Lecture20
Lecture21
Lecture22
Lecture23
Lecture24
Lecture25
Lecture26
Lecture27
Lecture28
Lecture29
Lecture30
Lecture31
Lecture32
Lecture33
Lecture34
Lecture35
Lecture36
Lecture37
Lecture38
Lecture39
Lecture40
Lecture41
Exercises
111104074
Mathematics
Linear Regression Analysis
Prof. Shalabh
Web
IIT Kanpur
Select
main
Lecture1
Lecture2
Lecture3
Lecture4
Lecture5
Lecture6
Lecture7
Lecture8
Lecture9
Lecture10
Lecture11
Lecture12
Lecture13
Lecture14
Lecture15
Lecture16
Lecture17
Lecture18
Lecture19
Lecture20
Lecture21
Lecture22
Lecture23
Lecture24
Lecture25
Lecture26
Lecture27
Lecture28
Lecture29
Lecture30
Lecture31
Lecture32
Lecture33
Lecture34
Lecture35
Lecture36
Lecture37
Lecture38
Lecture39
Lecture40
Lecture41
Lecture42
Lecture43
Lecture44
Bibliography-RegressionAnalysis
111104075
Mathematics
Analysis of variance and design of experiment-I
Prof. Shalabh
Web
IIT Kanpur
Select
main
Lecture1
Lecture2
Lecture3
Lecture4
Lecture5
Lecture6
Lecture7
Lecture8
Lecture9
Lecture10
Lecture11
Lecture12
Lecture13
Lecture14
Lecture15
Lecture16
Lecture17
Lecture18
Lecture19
Lecture20
Lecture21
Lecture22
Lecture23
Lecture24
Lecture25
Lecture26
Lecture27
Lecture28
Lecture29
Lecture30
Lecture31
Lecture32
Lecture33
Lecture34
Lecture35
Lecture36
Lecture37
Exercises
References
111104078
Mathematics
Analysis of variance and design of experiment-II
Prof. Shalabh
Web
IIT Kanpur
Select
main
Lecture1
Lecture2
Lecture3
Lecture4
Lecture5
Lecture6
Lecture7
Lecture8
Lecture9
Lecture10
Lecture11
Lecture12
Lecture13
Lecture14
Lecture15
Lecture16
Lecture17
Lecture18
Lecture19
Lecture20
Lecture21
Lecture22
Lecture23
Lecture24
Lecture25
Lecture26
Lecture27
Lecture28
Lecture29
Lecture30
Lecture31
Lecture32
Lecture33
Lecture34
Lecture35
Lecture36
Lecture37
Lecture38
Exercise
111104079
Mathematics
Probability Theory and Applications
Prof. Prabha Sharma
Video
IIT Kanpur
Select
Lecture-01-Basic principles of counting
Lecture-02-Sample space , events, axioms of probability
Lecture-03-Conditional probability, Independence of events.
Lecture-04-Random variables, cumulative density function, expected value
Lecture-05-Discrete random variables and their distributions
Lecture-06-Discrete random variables and their distributions
Lecture-07-Discrete random variables and their distributions
Lecture-08-Continuous random variables and their distributions.
Lecture-09-Continuous random variables and their distributions.
Lecture-10-Continuous random variables and their distributions.
Lecture-11-Function of random variables, Momement generating function
Lecture-12-Jointly distributed random variables, Independent r. v. and their sums
Lecture-13-Independent r. v. and their sums.
Lecture-14-Chi � square r. v., sums of independent normal r. v., Conditional distr.
Lecture-15 Conditional disti, Joint distr. of functions of r. v., Order statistics
Lecture-16-Order statistics, Covariance and correlation.
Lecture-17-Covariance, Correlation, Cauchy- Schwarz inequalities, Conditional expectation.
Lecture-18-Conditional expectation, Best linear predictor
Lecture-19-Inequalities and bounds.
Lecture-20-Convergence and limit theorems
Lecture-21-Central limit theorem
Lecture-22-Applications of central limit theorem
Lecture-23-Strong law of large numbers, Joint mgf.
Lecture-24-Convolutions
Lecture-25-Stochastic processes: Markov process.
Lecture-26-Transition and state probabilities.
Lecture-27-State prob., First passage and First return prob
Lecture-28-First passage and First return prob. Classification of states.
Lecture-29-Random walk, periodic and null states.
Lecture-30-Reducible Markov chains
Lecture-31-Time reversible Markov chains
Lecture-32-Poisson Processes
Lecture-33-Inter-arrival times, Properties of Poisson processes
Lecture-34-Queuing Models: M/M/I, Birth and death process, Little�s formulae
Lecture-35-Analysis of L, Lq ,W and Wq , M/M/S model
Lecture-36-M/M/S , M/M/I/K models
Lecture-37-M/M/I/K and M/M/S/K models
Lecture-38-Application to reliability theory failure law
Lecture-39-Exponential failure law, Weibull law
Lecture-40-Reliability of systems
111105035
Mathematics
Advanced Engineering Mathematics
Prof. Somesh Kumar,Prof. P.D. Srivastava,Prof. J. Kumar,Dr. P. Panigrahi
Video
IIT Kharagpur
Select
Review Groups, Fields and Matrices
Vector Spaces, Subspaces, Linearly Dependent/Independent of Vectors
Basis, Dimension, Rank and Matrix Inverse
Linear Transformation, Isomorphism and Matrix Representation
System of Linear Equations, Eigenvalues and Eigenvectors
Method to Find Eigenvalues and Eigenvectors, Diagonalization of Matrices
Jordan Canonical Form, Cayley Hamilton Theorem
Inner Product Spaces, Cauchy-Schwarz Inequality
Orthogonality, Gram-Schmidt Orthogonalization Process
Spectrum of special matrices,positive/negative definite matrices
Concept of Domain, Limit, Continuity and Differentiability
Analytic Functions, C-R Equations
Harmonic Functions
Line Integral in the Complex
Cauchy Integral Theorem
Cauchy Integral Theorem (Contd.)
Cauchy Integral Formula
Power and Taylor's Series of Complex Numbers
Power and Taylor's Series of Complex Numbers (Contd.)
Taylor's, Laurent Series of f(z) and Singularities
Classification of Singularities, Residue and Residue Theorem
Laplace Transform and its Existence
Properties of Laplace Transform
Evaluation of Laplace and Inverse Laplace Transform
Applications of Laplace Transform to Integral Equations and ODEs
Applications of Laplace Transform to PDEs
Fourier Series
Fourier Series (Contd.)
Fourier Integral Representation of a Function
Introduction to Fourier Transform
Applications of Fourier Transform to PDEs
Laws of Probability - I
Laws of Probability - II
Problems in Probability
Random Variables
Special Discrete Distributions
Special Continuous Distributions
Joint Distributions and Sampling Distributions
Point Estimation
Interval Estimation
Basic Concepts of Testing of Hypothesis
Tests for Normal Populations
111105037
Mathematics
Functional Analysis
Prof. P.D. Srivastava
Video
IIT Kharagpur
Select
Metric Spaces with Examples
Holder Inequality and Minkowski Inequality
Various Concepts in a Metric Space
Separable Metrics Spaces with Examples
Convergence, Cauchy Sequence, Completeness
Examples of Complete and Incomplete Metric Spaces
Completion of Metric Spaces + Tutorial
Vector Spaces with Examples
Normed Spaces with Examples
Banach Spaces and Schauder Basic
Finite Dimensional Normed Spaces and Subspaces
Compactness of Metric/Normed Spaces
Linear Operators-definition and Examples
Bounded Linear Operators in a Normed Space
Bounded Linear Functionals in a Normed Space
Concept of Algebraic Dual and Reflexive Space
Dual Basis & Algebraic Reflexive Space
Dual Spaces with Examples
Tutorial - I
Tutorial - II
Inner Product & Hilbert Space
Further Properties of Inner Product Spaces
Projection Theorem, Orthonormal Sets and Sequences
Representation of Functionals on a Hilbert Spaces
Hilbert Adjoint Operator
Self Adjoint, Unitary & Normal Operators
Tutorial - III
Annihilator in an IPS
Total Orthonormal Sets And Sequences
Partially Ordered Set and Zorns Lemma
Hahn Banach Theorem for Real Vector Spaces
Hahn Banach Theorem for Complex V.S. & Normed Spaces
Baires Category & Uniform Boundedness Theorems
Open Mapping Theorem
Closed Graph Theorem
Adjoint Operator
Strong and Weak Convergence
Convergence of Sequence of Operators and Functionals
LP - Space
LP - Space (Contd.)
111105038
Mathematics
Numerical methods of Ordinary and Partial Differential Equations
Dr. G.P. Raja Sekhar
Video
IIT Kharagpur
Select
Motivation with few Examples
Single - Step Methods for IVPs
Analysis of Single Step Methods
Runge - Kutta Methods for IVPs
Higher Order Methods/Equations
Error - Stability - Convergence of Single Step Methods
Tutorial - I
Tutorial - II
Multi-Step Methods (Explicit)
Multi-Step Methods (Implicit)
Convergence and Stability of multi step methods
General methods for absolute stability
Stability Analysis of Multi Step Methods
Predictor - Corrector Methods
Some Comments on Multi - Step Methods
Finite Difference Methods - Linear BVPs
Linear/Non - Linear Second Order BVPs
BVPS - Derivative Boundary Conditions
Higher Order BVPs
Shooting Method BVPs
Tutorial - III
Introduction to First Order PDE
Introduction to Second Order PDE
Finite Difference Approximations to Parabolic PDEs
Implicit Methods for Parabolic PDEs
Consistency, Stability and Convergence
Other Numerical Methods for Parabolic PDEs
Tutorial - IV
Matrix Stability Analysis of Finite Difference Scheme
Fourier Series Stability Analysis of Finite Difference Scheme
Finite Difference Approximations to Elliptic PDEs- I
Finite Difference Approximations to Elliptic PDEs - II
Finite Difference Approximations to Elliptic PDEs - III
Finite Difference Approximations to Elliptic PDEs - IV
Finite Difference Approximations to Hyperbolic PDEs - I
Finite Difference Approximations to Hyperbolic PDEs - II
Method of characteristics for Hyperbolic PDEs - I
Method of characterisitcs of Hyperbolic PDEs - II
Finite Difference Approximations to 1st order Hyperbolic PDEs
Summary, Appendices, Remarks
111105041
Mathematics
Probability and Statistics
Prof. Somesh Kumar
Video
IIT Kharagpur
Select
Algebra of Sets - I
Algebra of Sets - II
Introduction to Probability
Laws of Probability - I
Law of Probability - II
Problems in Probability
Random Variables
Probability Distributions
Characteristics of Distribution
Special Distributions - I
Special Distributions - II
Special Distributions - III
Special Distributions - IV
Special Distributions - V
Special Distributions - VI
Special Distributions - VII
Functions of a Random Variable
Joint Distributions - I
Joint Distributions - II
Joint Distributions - III
Joint Distributions - IV
Transformations of Random Vectors
Sampling Distributions - I
Sampling Distributions - II
Descriptive Statistics - I
Descriptive Statistics - II
Estimation - I
Estimation - II
Estimation - III
Estimation - IV
Estimation - V
Estimation - VI
Testing of Hypothesis - I
Testing of Hypothesis - II
Testing of Hypothesis - III
Testing of Hypothesis - IV
Testing of Hypothesis - V
Testing of Hypothesis - VI
Testing of Hypothesis - VII
Testing of Hypothesis - VIII
111105042
Mathematics
Regression Analysis
Dr. Soumen Maity
Video
IIT Kharagpur
Select
Simple Linear Regression
Simple Linear Regression (Contd.)
Simple Linear Regression (Contd. )
Simple Linear Regression ( Contd.)
Simple Linear Regression ( Contd. )
Multiple Linear Regression
Multiple Linear Regression (Contd.)
Multiple Linear Regression (Contd. )
Multiple Linear Regression ( Contd.)
Selecting the BEST Regression Model
Selecting the BEST Regression Model (Contd.)
Selecting the BEST Regression Model (Contd. )
Selecting the BEST Regression Model ( Contd.)
Multicollinearity
Multicollinearity (Contd.)
Multicollinearity ( Contd.)
Model Adequacy Checking
Model Adequacy Checking (Contd.)
Model Adequacy Checking ( Contd.)
Test for Influential Observations
Transformation and Weighting to correct model inadequacies
Transformation and Weighting to correct model inadequacies (Contd.)
Transformation and Weighting to correct model inadequacies ( Contd.)
Dummy Variables
Dummy Variables (Contd.)
Dummy Variables (Contd. )
Polynomial Regression Models
Polynomial Regression Models (Contd.)
Polynomial Regression Models (Contd. )
Generalized Linear Models
Generalized Linear Models (Contd.)
Non-Linear Estimation
Regression Models with Autocorrelated Errors
Regression Models with Autocorrelated Errors (Contd.)
Measurement Errors and Calibration Problem
Tutorial - I
Tutorial - II
Tutorial - III
Tutorial - IV
Tutorial - V
111105043
Mathematics
Statistical Inference
Prof. Somesh Kumar
Video
IIT Kharagpur
Select
Introduction and Motivation
Basic Concepts of Point Estimations - I
Basic Concepts of Point Estimations - II
Finding Estimators - I
Finding Estimators - II
Finding Estimators - III
Properties of MLEs
Lower Bounds for Variance - I
Lower Bounds for Variance - II
Lower Bounds for Variance - III
Lower Bounds for Variance - IV
Sufficiency
Sufficiency and Information
Minimal Sufficiency, Completeness
UMVU Estimation, Ancillarity
Invariance - I
Invariance - II
Bayes and Minimax Estimation - I
Bayes and Minimax Estimation - II
Bayes and Minimax Estimation - III
Testing of Hypotheses : Basic Concepts
Neyman Pearson Fundamental Lemma
Applications of NP lemma
UMP Tests
UMP Tests (Contd.)
UMP Unbiased Tests
UMP Unbiased Tests (Contd.)
UMP Unbiased Tests : Applications
Unbiased Tests for Normal Populations
Unbiased Tests for Normal Populations (Contd.)
Likelihood Ratio Tests - I
Likelihood Ratio Tests - II
Likelihood Ratio Tests - III
Likelihood Ratio Tests - IV
Invariant Tests
Test for Goodness of Fit
Sequential Procedure
Sequential Procedure (Contd.)
Confidence Intervals
Confidence Intervals (Contd.)
111105069
Mathematics
A Basic Course in Real Analysis
Prof. P.D. Srivastava
Video
IIT Kharagpur
Select
Rational Numbers and Rational Cuts
Irrational numbers, Dedekind's Theorem
Continuum and Exercises
Continuum and Exercises (Contd.)
Cantor's Theory of Irrational Numbers
Cantor's Theory of Irrational Numbers (Contd.)
Equivalence of Dedekind and Cantor's Theory
Finite, Infinite, Countable and Uncountable Sets of Real Numbers
Types of Sets with Examples, Metric Space
Various properties of open set, closure of a set
Ordered set, Least upper bound, greatest lower bound of a set
Compact Sets and its properties
Weiersstrass Theorem, Heine Borel Theorem, Connected set
Tutorial - II
Concept of limit of a sequence
Some Important limits, Ratio tests for sequences of Real Numbers
Cauchy theorems on limit of sequences with examples
Fundamental theorems on limits, Bolzano-Weiersstrass Theorem
Theorems on Convergent and divergent sequences
Cauchy sequence and its properties
Infinite series of real numbers
Comparison tests for series, Absolutely convergent and Conditional convergent series
Tests for absolutely convergent series
Raabe's test, limit of functions, Cluster point
Some results on limit of functions
Limit Theorems for functions
Extension of limit concept (one sided limits)
Continuity of Functions
Properties of Continuous Functions
Boundedness Theorem, Max-Min Theorem and Bolzano's theorem
Uniform Continuity and Absolute Continuity
Types of Discontinuities, Continuity and Compactness
Continuity and Compactness (Contd.), Connectedness
Differentiability of real valued function, Mean Value Theorem
Mean Value Theorem (Contd.)
Application of MVT , Darboux Theorem, L Hospital Rule
L'Hospital Rule and Taylor's Theorem
Tutorial - III
Riemann/Riemann Stieltjes Integral
Existence of Reimann Stieltjes Integral
Properties of Reimann Stieltjes Integral
Properties of Reimann Stieltjes Integral (Contd.)
Definite and Indefinite Integral
Fundamental Theorems of Integral Calculus
Improper Integrals
Convergence Test for Improper Integrals
111106044
Mathematics
An Introduction to Riemann Surfaces and Algebraic Curves: Complex 1-Tori and Elliptic Curves
DDr. T.E. Venkata Balaji
Video
IIT Madras
Select
The Idea of a Riemann Surface
Simple Examples of Riemann Surfaces
Maximal Atlases and Holomorphic Maps of Riemann Surfaces
A Riemann Surface Structure on a Cylinder
A Riemann Surface Structure on a Torus
Riemann Surface Structures on Cylinders and Tori via Covering Spaces
Moebius Transformations Make up Fundamental Groups of Riemann Surfaces
Homotopy and the First Fundamental Group
A First Classification of Riemann Surfaces
The Importance of the Path-lifting Property
Fundamental groups as Fibres of the Universal covering Space
The Monodromy Action
The Universal covering as a Hausdorff Topological Space
The Construction of the Universal Covering Map
Completion of the Construction of the Universal Covering: Universality of the Universal Covering
Completion of the Construction of the Universal Covering: The Fundamental Group of the base as the Deck Transformation Group
The Riemann Surface Structure on the Topological Covering of a Riemann Surface
Riemann Surfaces with Universal Covering the Plane or the Sphere
Classifying Complex Cylinders: Riemann Surfaces with Universal Covering the Complex Plane
Characterizing Moebius Transformations with a Single Fixed Point
Characterizing Moebius Transformations with Two Fixed Points
Torsion-freeness of the Fundamental Group of a Riemann Surface
Characterizing Riemann Surface Structures on Quotients of the Upper Half-Plane with Abelian Fundamental Groups
Classifying Annuli up to Holomorphic Isomorphism
Orbits of the Integral Unimodular Group in the Upper Half-Plane
Galois Coverings are precisely Quotients by Properly Discontinuous Free Actions
Local Actions at the Region of Discontinuity of a Kleinian Subgroup of Moebius Transformations
Quotients by Kleinian Subgroups give rise to Riemann Surfaces
The Unimodular Group is Kleinian
The Necessity of Elliptic Functions for the Classification of Complex Tori
The Uniqueness Property of the Weierstrass Phe-function associated to a Lattice in the Plane
The First Order Degree Two Cubic Ordinary Differential Equation satisfied by the Weierstrass Phe-function
The Values of the Weierstrass Phe-function at the Zeros of its Derivative are nonvanishing Analytic Functions on the Upper Half-Plane
The Construction of a Modular Form of Weight Two on the Upper Half-Plane
The Fundamental Functional Equations satisfied by the Modular Form of Weight Two on the Upper Half-Plane
The Weight Two Modular Form assumes Real Values on the Imaginary Axis in the Upper Half-plane
The Weight Two Modular Form Vanishes at Infinity
The Weight Two Modular Form Decays Exponentially in a Neighbourhood of Infinity
A Suitable Restriction of the Weight Two Modular Form is a Holomorphic Conformal Isomorphism onto the Upper Half-Plane
The J-Invariant of a Complex Torus (or) of an Algebraic Elliptic Curve
A Fundamental Region in the Upper Half-Plane for the Elliptic Modular J-Invariant
The Fundamental Region in the Upper Half-Plane for the Unimodular Group
A Region in the Upper Half-Plane Meeting Each Unimodular Orbit Exactly Once
Moduli of Elliptic Curves
Punctured Complex Tori are Elliptic Algebraic Affine Plane Cubic Curves in Complex 2-Space
The Natural Riemann Surface Structure on an Algebraic Affine Nonsingular Plane Curve
Complex Projective 2-Space as a Compact Complex Manifold of Dimension Two
Complex Tori are the same as Elliptic Algebraic Projective Curves
111106046
Mathematics
Fourier Analysis
Dr. R. Radha,Dr. S. Thangavelu
Web
IIT Madras
Select
Course Title
Contents
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Appendix
Biblography
Mathematicians at a glance
111106047
Mathematics
Functional Analysis
Prof. M.T. Nair
Web
IIT Madras
Select
Course title
Contents
Preface
Chapter 1
Chapter 2
Chapter 3
Chapter 4
References
111106050
Mathematics
Graph Theory
Prof. S.A. Choudum
Web
IIT Madras
Select
Course Contents
Preliminaries
Connected graphs and shortest paths
Trees
Special classes of graphs
Eulerian Graphs
Hamilton Graphs
Independent sets, coverings and matchings
Vertex-colorings
Edge colorings
Planar Graphs
Directed Graphs
List of Books
111106051
Mathematics
Linear Algebra
Dr. K.C. Sivakumar
Video
IIT Madras
Select
1. Introduction to the Course Contents.
2. Linear Equations
3a. Equivalent Systems of Linear Equations I: Inverses of Elementary Row-operations, Row-equivalent matrices
3b. Equivalent Systems of Linear Equations II: Homogeneous Equations, Examples
4. Row-reduced Echelon Matrices
5. Row-reduced Echelon Matrices and Non-homogeneous Equations
6. Elementary Matrices, Homogeneous Equations and Non-homogeneous Equations
7. Invertible matrices, Homogeneous Equations Non-homogeneous Equations
8. Vector spaces
9. Elementary Properties in Vector Spaces. Subspaces
10. Subspaces (continued), Spanning Sets, Linear Independence, Dependence
11. Basis for a vector space
12. Dimension of a vector space
13. Dimensions of Sums of Subspaces
14. Linear Transformations
15. The Null Space and the Range Space of a Linear Transformation
16. The Rank-Nullity-Dimension Theorem. Isomorphisms Between Vector Spaces
17. Isomorphic Vector Spaces, Equality of the Row-rank and the Column-rank I
18. Equality of the Row-rank and the Column-rank II
19. The Matrix of a Linear Transformation
20. Matrix for the Composition and the Inverse. Similarity Transformation
21. Linear Functionals. The Dual Space. Dual Basis I
22. Dual Basis II. Subspace Annihilators I
23. Subspace Annihilators II
24. The Double Dual. The Double Annihilator
25. The Transpose of a Linear Transformation. Matrices of a Linear Transformation and its Transpose
26. Eigenvalues and Eigenvectors of Linear Operators
27. Diagonalization of Linear Operators. A Characterization
28. The Minimal Polynomial
29. The Cayley-Hamilton Theorem
30. Invariant Subspaces
31. Triangulability, Diagonalization in Terms of the Minimal Polynomial
32. Independent Subspaces and Projection Operators
33. Direct Sum Decompositions and Projection Operators I
34. Direct Sum Decomposition and Projection Operators II
35. The Primary Decomposition Theorem and Jordan Decomposition
36. Cyclic Subspaces and Annihilators
37. The Cyclic Decomposition Theorem I
38. The Cyclic Decomposition Theorem II. The Rational Form
39. Inner Product Spaces
40. Norms on Vector spaces. The Gram-Schmidt Procedure I
41. The Gram-Schmidt Procedure II. The QR Decomposition.
42. Bessel's Inequality, Parseval's Indentity, Best Approximation
43. Best Approximation: Least Squares Solutions
44. Orthogonal Complementary Subspaces, Orthogonal Projections
45. Projection Theorem. Linear Functionals
46. The Adjoint Operator
47. Properties of the Adjoint Operation. Inner Product Space Isomorphism
48. Unitary Operators
49. Unitary operators II. Self-Adjoint Operators I.
50. Self-Adjoint Operators II - Spectral Theorem
51. Normal Operators - Spectral Theorem
111106052
Mathematics
Mathematical Logic
Prof. Arindama Singh
Video
IIT Madras
Select
Sets and Strings
Syntax of Propositional Logic
Unique Parsing
Semantics of PL
Consequences and Equivalences
Five results about PL
Calculations and Informal Proofs
More Informal Proofs
Normal forms
SAT and 3SAT
Horn-SAT and Resolution
Resolution
Adequacy of Resolution
Adequacy and Resolution Strategies
Propositional Calculus (PC)
Some Results about PC
Arguing with Proofs
Adequacy of PC
Compactness & Analytic Tableau
Examples of Tableau Proofs
Adequacy of Tableaux
Syntax of First order Logic (FL)
Symbolization & Scope of Quantifiers
Hurdles in giving Meaning
Semantics of FL
Relevance Lemma
Validity, Satisfiability & Equivalence
Six Results about FL
Laws in FL
Quantifier Laws and Consequences
Examples of Informal Proofs and Calculation
Prenex Form Conversion
Skolem Form
Syntatic Interpretation
Herbrand's Theorem
Most General Unifiers
Resolution Rules
Resolution Examples
Axiomatic System FC
FC, Semidecidability of FL, and Tableau
Analytic Tableau for FL
Goedel's Incompleteness Theorems
111106053
Mathematics
Real Analysis
Prof. S.H. Kulkarni
Video
IIT Madras
Select
Introduction
Functions and Relations
Finite and Infinite Sets
Countable Sets
Uncountable Sets, Cardinal Numbers
Real Number System
LUB Axiom
Sequences of Real Numbers
Sequences of Real Numbers - continued
Sequences of Real Numbers - continued...
Infinite Series of Real Numbers
Series of nonnegative Real Numbers
Conditional Convergence
Metric Spaces: Definition and Examples
Metric Spaces: Examples and Elementary Concepts
Balls and Spheres
Open Sets
Closure Points, Limit Points and isolated Points
Closed sets
Sequences in Metric Spaces
Completeness
Baire Category Theorem
Limit and Continuity of a Function defined on a Metric space
Continuous Functions on a Metric Space
Uniform Continuity
Connectedness
Connected Sets
Compactness
Compactness - Continued
Characterizations of Compact Sets
Continuous Functions on Compact Sets
Types of Discontinuity
Differentiation
Mean Value Theorems
Mean Value Theorems - Continued
Taylor's Theorem
Differentiation of Vector Valued Functions
Integration
Integrability
Integrable Functions
Integrable Functions - Continued
Integration as a Limit of Sum
Integration and Differentiation
Integration of Vector Valued Functions
More Theorems on Integrals
Sequences and Series of Functions
Uniform Convergence
Uniform Convergence and Integration
Uniform Convergence and Differentiation
Construction of Everywhere Continuous Nowhere Differentiable Function
Approximation of a Continuous Function by Polynomials: Weierstrass Theorem
Equicontinuous family of Functions: Arzela - Ascoli Theorem
111107063
Mathematics
Numerical Solution of Ordinary and Partial Differential Equations
Dr. Rama Bhargava,Dr. Sunita Gakkhar
Web
IIT Roorkee
Select
Numerical solution of first order ordinary differential equations
Numerical Methods: Euler method
Modified Euler Method
Runge Kutta Method
Fourth Order Runge Kutta Methods
Higher order Runge Kutta Methods
Multi Step Methods Predictor corrector Methods
Multi Step Methods Predictor corrector Methods Contd�
Multi Step Methods Adams Bashforth method
Multi Step Methods Adams Moulton method
Systems of Differential Equations
Higher Order Equations
Stiff Differential equations
Finite Difference Methods: Dirichlet type boundary condition
Finite Difference Methods: Mixed boundary condition
Shooting Method
Shooting Method contd�
Solution by Finite Difference Methods
Shooting Methods
Shooting Methods Contd�
Introduction of PDE, Classification and Various type of conditions
Finite Difference representation of various Derivatives
Parabolic Partial Differential Equations : One dimensional equation : Explicit method.
Crank Nicolson method and Fully Implicit method
Three Time Level Schemes
Extension to 2d Parabolic Partial Differential Equations
Compatibility and Stability of 1d Parabolic PDE
Stability of one-dimensional Parabolic PDE
Convergence of one?dimensional Parabolic PDE
Elliptic Partial Differential Equations : Solution in Cartesian coordinate system
Successive Over Relaxation Method
Elliptic Partial Differential Equation in Polar System
Alternating Direction Implicit Method
Treatment of Irregular Boundaries
Methods for Solving tridiagonal System
Explicit Method for Solving Hyperbolic PDE
Implicit Method to Hyperbolic PDE
Convergence & Stability
Method of Characteristics
Examples and conclusions
111108066
Mathematics
Advanced Matrix Theory and Linear Algebra for Engineers
Prof. Vittal Rao
Video
IISc Bangalore
Select
Prologue Part 1
Prologue Part 2
Prologue Part 3
Linear Systems Part 1
Linear Systems Part 2
Linear Systems Part 3
Linear Systems Part 4
Vector Spaces Part 1
Vector Spaces Part 2
Linear Independence and Subspaces Part 1
Linear Independence and Subspaces Part 2
Linear Independence and Subspaces Part 3
Linear Independence and Subspaces Part 4
Basis Part 1
Basis Part 2
Basis Part 3
Linear Transformations Part 1
Linear Transformations Part 2
Linear Transformations Part 3
Linear Transformations Part 4
Linear Transformations Part 5
Inner Product and Orthogonality Part 1
Inner Product and Orthogonality Part 2
Inner Product and Orthogonality Part 3
Inner Product and Orthogonality Part 4
Inner Product and Orthogonality Part 5
Inner Product and Orthogonality Part 6
Diagonalization Part 1
Diagonalization Part 2
Diagonalization Part 3
Diagonalization Part 4
Hermitian and Symmetric matrices Part 1
Hermitian and Symmetric matrices Part 2
Hermitian and Symmetric matrices Part 3
Hermitian and Symmetric matrices Part 4
Singular Value Decomposition (SVD) Part 1
Singular Value Decomposition (SVD) Part 2
Back To Linear Systems Part 1
Back To Linear Systems Part 2
Epilogue
111108081
Mathematics
Ordinary Differential Equations and Applications
A. K. Nandakumaran, P. S. Datti, Raju K. George
Video
IISc Bangalore
Select
General Introduction
Examples
Examples Continued I
Examples Continued II
Linear Algebra
Linear Algebra Continued I
Linear Algebra Continued II
Analysis
Analysis Continued
First Order Linear Equations
Exact Equations
Second Order Linear Equations
Second Order Linear Equations Continued I
Second Order Linear Equations Continued II
Well-posedness and Examples of IVP
Gronwall's Lemma
Basic Lemma and Uniqueness Theorem
Picard's Existence and Uniqueness Theorem
Picard's Existence and Uniqueness Continued
Cauchy Peano Existence Theorem
Existence using Fixed Point Theorem
Continuation of Solutions
Series Solution
General System and Diagonalizability
2 by 2 systems and Phase Plane Analysis
2 by 2 systems and Phase Plane Analysis Continued
General Systems
General Systems Continued and Non-homogeneous Systems
Basic Definitions and Examples
Stability Equilibrium Points
Stability Equilibrium Points Continued I
Stability Equilibrium Points Continued II
Second Order Linear Equations Continued III
Lyapunov Function
Lyapunov Function Continued
Periodic Orbits and Poincare Bendixon Theory
Periodic Orbits and Poincare Bendixon Theory Continued
Linear Second Order Equations
General Second Order Equations
General Second Order Equations Continued
111104032
Mathematics
Probability and Distributions
Prof. Neeraj Misra
Web
IIT Kanpur
Select
Lec1
Lec2
Lec3
Lec4
Lec5
Lec6
Problem1
Lec7
Lec8
Lec9
Lec10
Lec11
Problem2
Lec12
Lec13
Lec14
Lec15
Lec16
Problem3
Lec17
Lec18
Lec19
Problem4
Lec20
Lec21
Lec22
Lec23
Lec24
Problem5
Lec25
Lec26
Lec27
Lec28
Lec29
Lec30
Lec31
Lec32
Lec33
Lec34
Lec35
Lec36
Problem6
Lec37
Lec38
Lec39
Lec40
Lec41
Lec42
Problem7
111104071
Mathematics
Foundations of Optimization
Dr. Joydeep Dutta
Video
IIT Kanpur
Select
Lecture-01
Lecture-02
Lecture-03
Lecture-04
Lecture-05
Lecture-06
Lecture-07
Lecture-08
Lecture-09
Lecture-10
Lecture-11
Lecture-12
Lecture-13
Lecture-14
Lecture-15
Lecture-16
Lecture-17
Lecture-18
Lecture-19
Lecture-20
Lecture-21
Lecture-22
Lecture-23
Lecture-24
Lecture-25
Lecture-26
Lecture-27
Lecture-28
Lecture-29
Lecture-30
Lecture-31
Lecture-32
Lecture-33
Lecture-34
Lecture-35
Lecture-36
Lecture-37
Lecture-38
111105039
Mathematics
Optimization
Prof. A. Goswami Dr. Debjani Chakraborty
Video
IIT Kharagpur
Select
Lecture-01
Lecture-02
Lecture-03
Lecture-04
Lecture-05
Lecture-06
Lecture-07
Lecture-08
Lecture-09
Lecture-10
Lecture-11
Lecture-12
Lecture-13
Lecture-14
Lecture-15
Lecture-16
Lecture-17
Lecture-18
Lecture-19
Lecture-20
Lecture-21
Lecture-22
Lecture-23
Lecture-24
Lecture-25
Lecture-26
Lecture-27
Lecture-28
Lecture-29
Lecture-30
Lecture-31
Lecture-32
Lecture-33
Lecture-34
Lecture-35
Lecture-36
Lecture-37
Lecture-38
Lecture-39
Lecture-40
111107058
Mathematics
Discrete Mathematics
Dr. Aditi Gangopadhyay, Dr. Sugata Gangopadhyay
Video
IIT Roorkee
Select
Introduction to the theory of sets
Set operation and laws of set operation
The principle of inclusion and exclusion
Application of the principle of inclusion and exclusion
Fundamentals of logic
Logical Inferences
Methods of proof of an implication
First order logic(1)
First order logic(2)
Rules of influence for quantified propositions
Mathematical Induction(1)
Mathematical Induction(2)
Sample space, events
Probability, conditional probability
Independent events, Bayes theorem
Information and mutual information
Basic definition
Isomorphism and sub graphs
Walks, paths and circuits operations on graphs
Euler graphs, Hamiltonian circuits
Shortest path problem
Planar graphs
Basic definition.
Properties of relations
Graph of relations
Matrix of relation
Closure of relaton(1)
Closure of relaton(2)
Warshall's algorithm
Partially ordered relation
Partially ordered sets
Lattices
Boolean algebra
Boolean function(1)
Boolean function(2)
Discrete numeric function
Generating function
Introduction to recurrence relations
Second order recurrence relation with constant coefficients(1)
Second order recurrence relation with constant coefficients(2)
Application of recurrence relation
111106083
Mathematics
NOC:An invitation to mathematics
Prof. Sankaran Vishwanath
Video
IIT Madras
Select
Introduction
Long division
Applications of Long division
Lagrange interpolation
The 0-1 idea in other contexts - dot and cross product
Taylors formula
The Chebyshev polynomials
Counting number of monomials - several variables
Permutations, combinations and the binomial theorem.
Combinations with repetition, and counting monomials.
Combinations with restrictions, recurrence relations
Fibonacci numbers; an identity and a bijective proof.
Permutations and cycle type
The sign of a permutation, composition of permutations
Rules for drawing tangle diagrams
Signs and cycle decompositions
Sorting lists of numbers, and crossings in tangle diagrams
Real and integer valued polynomials
Integer valued polynomials revisited.
Functions on the real line, continuity
The intermediate value property.
Visualizing functions.
Functions on the plane, Rigid motions.
More examples of functions on the plane, dilations.
Composition of functions
Affine and Linear transformations
Length and Area dilation, the derivative
Examples-I
Examples-II
Linear equations, Lagrange interpolation revisited
Completed Matrices in combinatorics
Polynomials acting on matrices
Divisibility, prime numbers
Congruences, Modular arithmetic
The Chinese remainder theorem
The Euclidean algorithm, the 0-1 idea and the Chinese remainder theorem
111106084
Mathematics
Advanced Complex Analysis - Part 1:Zeros of Analytic Functions,Analytic continuation, Monodromy, Hyperbolic Geometry and the Reimann Mapping Theorem
Dr. T.E. Venkata Balaji
Video
IIT Madras
Select
Fundamental Theorems Connected with Zeros of Analytic Functions
The Argument (Counting) Principle, Rouche's Theorem and The Fundamental Theorem of Algebra
Morera's Theorem and Normal Limits of Analytic Functions
Hurwitz's Theorem and Normal Limits of Univalent Functions
Local Constancy of Multiplicities of Assumed Values
The Open Mapping Theorem
Introduction to the Inverse Function Theorem
Completion of the Proof of the Inverse Function Theorem: The Integral Inversion Formula for the Inverse Function
Univalent Analytic Functions have never-zero Derivatives and are Analytic Isomorphisms
Introduction to the Implicit Function Theorem
Proof of the Implicit Function Theorem: Topological Preliminaries
Proof of the Implicit Function Theorem: The Integral Formula for & Analyticity of the Explicit Function
Doing Complex Analysis on a Real Surface: The Idea of a Riemann Surface
F(z,w)=0 is naturally a Riemann Surface
Constructing the Riemann Surface for the Complex Logarithm
Constructing the Riemann Surface for the m-th root function
The Riemann Surface for the functional inverse of an analytic mapping at a critical point
The Algebraic nature of the functional inverses of an analytic mapping at a critical point
The Idea of a Direct Analytic Continuation or an Analytic Extension
General or Indirect Analytic Continuation and the Lipschitz Nature of the Radius of Convergence
Analytic Continuation Along Paths via Power Series Part A
Analytic Continuation Along Paths via Power Series Part B
Continuity of Coefficients occurring in Families of Power Series defining Analytic Continuations along Paths
Analytic Continuability along Paths: Dependence on the Initial Function and on the Path - First Version of the Monodromy Theorem
Maximal Domains of Direct and Indirect Analytic Continuation: SecondVersion of the Monodromy Theorem
Deducing the Second (Simply Connected) Version of the Monodromy Theorem from the First (Homotopy) Version
Existence and Uniqueness of Analytic Continuations on Nearby Paths
Proof of the First (Homotopy) Version of the Monodromy Theorem
112104189
Mathematics
NOC:Basic Calculus for Engineers, Scientists and Economists
Dr. Joydeep Dutta
Video
IIT Kanpur
Select
Numbers
Functions-1
Sequence-1
Sequence-2
Limits and Continuity-1
Limits and Continuity-2
Limits And Continuity- 3
Derivative- 1
Derivative- 2
Maxima And Minima
Mean-Value Theorem And Taylors Expansion-1
Mean-Value Theorem And Taylors Expansion-2
Integration -1
Integration - 2
Integration By Parts
Definite Integral
Riemann Integration -1
Riemann Integration - 2
Functions Of Two Or More Variables
Limits And Continuity Of Functions Of Two Variable
Differentiation Of Functions Of Two Variables - 1
Differentiation Of Functions Of Two Variables - 2
Unconstrained Minimization Of Funtions Of Two Variables
Constrained Minimization And Lagrange Multiplier Rules
Infinite Series - 1
Infinite Series - 2
Infinite Series - 3
Multiple Integrals - 1
Multiple Integrals - 2
Muliple Integrals - 3