Numerical linear algebra and integration
Numerical analysis · STEM / applied
Gaussian elimination with partial pivoting
Objectives
- Gaussian elimination with partial pivoting
- LU factorization and its use in solving Ax = b
- Iterative methods: Jacobi and Gauss–Seidel (introduction)
- Numerical differentiation: forward, backward, and central differences
- Numerical integration: trapezoidal and Simpson's rules; composite formulas
Study materials
- Practice testComing soon