Matrix Algebra for Engineers
Completed by ADAM CHRAPKOWSKI
February 28, 2019
19 hours (approximately)
ADAM CHRAPKOWSKI'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: Linear Algebra
- Category: Engineering Calculations
- Category: Applied Mathematics
- Category: Engineering Analysis
- Category: General Mathematics
- Category: Advanced Mathematics
- Category: Numerical Analysis
- Category: Algebra
