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.