Introduction to Linear Algebra
Instructor: Sam Sengupta
Text: Schaum's outlines Linear Algebra, 3rd ed. by Lipshutz and Lipson
Lecture Notes
1. Topic1 : About Vectors
2. Topic2 : About Matrices
3. Topic3 : Solution of simultaneous equations
4. Topic4 : Linear mappings
5. Topic5 : Matrix inversion
6. Topic6 : About Matlab & Matrices
7a. Topic7a : Elements of Eigenvalueues/Eigenfunctions
7b. Topic7b : Computational aspects of e-values/e-functions
7c. Topic7c : Computational aspects of e-values/e-functions 2
7d. Topic7d : SOR: Improved Gauss'-Seidel
8. Topic8 : Least Square solutions
9. Topic9 : Diagonalization: Eignevalues and Eigenvectors
Instructor: Sam Sengupta
Text: Schaum's outlines Linear Algebra, 3rd ed. by Lipshutz and Lipson
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Lecture Notes
1. Topic1 : About Vectors
2. Topic2 : About Matrices
3. Topic3 : Solution of simultaneous equations
4. Topic4 : Linear mappings
5. Topic5 : Matrix inversion
6. Topic6 : About Matlab & Matrices
7a. Topic7a : Elements of Eigenvalueues/Eigenfunctions
7b. Topic7b : Computational aspects of e-values/e-functions
7c. Topic7c : Computational aspects of e-values/e-functions 2
7d. Topic7d : SOR: Improved Gauss'-Seidel
8. Topic8 : Least Square solutions
9. Topic9 : Diagonalization: Eignevalues and Eigenvectors
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