Matrix Algebra for Engineers
Completed by Sravani goka
August 10, 2020
19 hours (approximately)
Sravani goka'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: General Mathematics
- Category: Advanced Mathematics
- Category: Applied Mathematics
- Category: Engineering Calculations
- Category: Linear Algebra
- Category: Mathematics and Mathematical Modeling
- Category: Engineering Analysis
