Conjugate gradient method

The Conjugate Gradient (CG) method is an iterative algorithm primarily used for solving systems of linear equations whose coefficient matrix is symmetric and positive-definite. It is particularly effective for large-scale problems, where direct methods (like Gaussian elimination) can be computationally expensive or infeasible due to memory requirements. ### Key Features of the Conjugate Gradient Method: 1. **Iteration**: The CG method generates a sequence of approximations to the solution.