Lectures related to Jacobi and Gauss-Seidel methods

Covers the Jacobi method, Givens rotation, QR decomposition, and diagonalization techniques in computational physics.

Covers the Gauss-Seidel method for solving linear systems with triangular matrices and progressive substitution.

Covers the definitions and properties of matrices, including matrix operations and determinants.

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

Covers the construction of an iterative method for linear systems by decomposing a matrix A into P, T, and P_A.

Explores the Jacobi method and diagonalization techniques, including similarity transformation, power methods, and QR decomposition.