Matrix Algebra for Engineers
Completed by Yogendra Singh Rathore
April 20, 2020
19 hours (approximately)
Yogendra Singh Rathore's account is verified. Coursera certifies their successful completion of Matrix Algebra for Engineers
What you will learn
Matrix multiplication, transpose, inverse, orthogonal matrices
Gaussian elimination, reduced row echelon form, LU decomposition
Vector Spaces, linear independence, Gram-Schmidt process, null space, column space, least-squares problem
Determinants, Laplace expansion, Leibniz formula, eigenvalue problem, matrix diagonalization, powers of a matrix
Skills you will gain
- Category: Mathematics and Mathematical Modeling
- Category: Applied Mathematics
- Category: Engineering Calculations
- Category: General Mathematics
- Category: Engineering Analysis
- Category: Advanced Mathematics
- Category: Algebra
- Category: Linear Algebra
