Matrix Algebra for Engineers
Completed by Advit Kalra
April 8, 2019
19 hours (approximately)
Advit Kalra'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: Algebra
- Category: Advanced Mathematics
- Category: General Mathematics
- Category: Linear Algebra
- Category: Engineering Calculations
- Category: Mathematics and Mathematical Modeling
- Category: Applied Mathematics
- Category: Engineering Analysis
