Matrix Algebra for Engineers
Completed by KE ZHU
October 15, 2021
19 hours (approximately)
KE ZHU'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: Arithmetic
- Category: Computational Logic
- Category: Engineering Analysis
- Category: Advanced Mathematics
- Category: Algebra
- Category: Engineering Calculations
- Category: General Mathematics
- Category: Linear Algebra
- Category: Applied Mathematics
