Course10810617151 lectures
Applied Linear Algebra
Prof. Andrew Thangaraj · IIT Madras
Lectures
Week 1
- Introduction to the Course
- Vector Spaces: Introduction
- Linear Combinations and Span
- Subspaces, Linear Dependence and Independence
- Basis and Dimension
- Sums, Direct Sums and Gaussian Elimination
Week 2
- Linear Maps and Matrices
- Null space, Range, Fundamental theorem of linear maps
- Column space, null space and rank of a matrix
- Algebraic operations on linear maps
Week 3
- Invertible maps, Isomorphism, Operators
- Solving Linear Equations
- Elementary Row Operations
- Translates of a subspace, Quotient Spaces
Week 4
- Row space and rank of a matrix
- Determinants
- Coordinates and linear maps under a change of basis
- Simplifying matrices of linear maps by choice of basis
Week 5
- Polynomials and Roots
- Invariant subspaces, Eigenvalues, Eigenvectors
- More on Eigenvalues, Eigenvectors, Diagonalization
- Eigenvalues, Eigenvectors and Upper Triangularization
Week 6
- Properties of Eigenvalues
- Linear state space equations and system stability
- Discrete-time Linear Systems and Discrete Fourier Transforms
- Sequences and counting paths in graphs
- PageRank Algorithm
Week 7
- Dot product and length in Cn, Inner product and norm in V over F
- Orthonormal basis and Gram-Schmidt orthogonalisation
- Linear Functionals, Orthogonal Complements
Week 8
- Orthogonal Projection
- Projection and distance from a subspace
- Linear equations, Least squares solutions and Linear regression
- Minimum Mean Squared Error Estimation
Week 9
- Adjoint of a linear map
- Properties of Adjoint of a Linear Map
- Adjoint of an Operator and Operator-Adjoint Product
Week 10
Week 11
- Positive Operators
- Quadratic Forms, Matrix Norms and Optimization
- Isometries
- Classification of Operators
Week 12
- Singular Values and Vectors of a Linear Map
- Singular Value Decomposition
- Polar decomposition and some applications of SVD
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Madras
- Department
- Electrical Engineering
- Teacher
- Prof. Andrew Thangaraj
- Level
- Undergraduate
- Language
- English
- Subjects
- Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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