Linear algebra computations
Numerical methods for engineers · STEM / applied
Gaussian elimination and pivoting strategies
Objectives
- Gaussian elimination and pivoting strategies
- LU decomposition and matrix inversion
- Condition number and ill-conditioning
- Iterative methods: Jacobi, Gauss–Seidel, and SOR
- Eigenvalue problems: power method and QR overview
Study materials
- Practice testComing soon