Course Description :

Linear equations; Multiplication and Inverse matrices; Factorization; Transposes, Permutations, Column and Null space; Pivot Variables; Subspaces; Graph, Incidence Matrices; Orthogonal Vectors, Matrices and Gram-Schmidt ; Cramer’s rule; Eigen values and vectors; Marcov Matrices; Fourier Series; FFT; Linear Transformations; Change of Basis; Image Compression; Left and Right Inverses; Pseudo inverse etc...

Other Resources :

Citation |

Licensed under a Creative Commons License by MIT OCW

Other Mathematics Courses

• University Algebra By: The University of New South Wales
• Multivariable Calculus, Fall 2009 By: UC Berkeley
• Single Variable Calculus By: MIT OCW
• Introductory Probability and Statistics for Business (Spring 2009) By: UC Berkeley
• Computational Science and Engineering I By: MIT OCW
• Math 3C: Probability for Math Science By: UCLA
• Engineering Mathematics By: The University of New South Wales
• Mathematics II By: IIT Roorkee
• Mathematics I By: IIT Kanpur
• Multivariable Calculus (Fall 2008) By: UC Berkeley

 

Comments

Post your Comments

Name :

Mail :

Website :

Comment :

 

Enter the charecters in image