Jacobi Iterative Algorithm Implementation
Implementation of Jacobi iterative algorithm in MATLAB - input matrix A, vector b, and initial value x to call the function and obtain the solution for linear equation systems
Conjugate Gradient Method for Solving Inverse Problems
The conjugate gradient method for solving the linear system Ax=b, which takes input matrix A, column vector b, and iteration count k to compute the solution column vector x. Implementation includes efficient matrix-vector multiplication and iterative residual minimization.