Matrix Algebra for Engineers
Completed by Gu Yu
February 6, 2024
19 hours (approximately)
Gu Yu'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: Mathematics and Mathematical Modeling
- Category: Advanced Mathematics
- Category: Algebra
- Category: General Mathematics
