Direct Methods for Linear Systems

Related lectures (27)

Page 1 of 3

Covers tips on matrix construction and function manipulation using MATLAB.

Explores linear systems, Gaussian elimination, LU decomposition, and matrix types.

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Covers the application of finite difference methods to solve partial differential equations.

Explores the Eigen library for linear algebra, covering vectors, matrices, arrays, memory management, reshaping, and per-component operations.

Introduces Matlab basics, error handling, and billiards project concepts.

Explores direct methods for solving linear equations, LU factorization, Gass elimination, and computational complexity.

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Explains the Jacobi and Gauss-Seidel methods for solving linear systems iteratively.

Explores the properties of invertible matrices, including unique solutions and linear independence.