Matrix Algebra for Engineers
Completed by Hitesh Kumar Lalchandani
May 12, 2019
19 hours (approximately)
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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: Engineering Calculations
- Category: Advanced Mathematics
- Category: Numerical Analysis
- Category: Applied Mathematics
- Category: Engineering Analysis
- Category: General Mathematics
- Category: Linear Algebra
