The Conjugate Gradient (CG) method is a powerful algorithm used to solve large systems of linear equations, particularly those arising from the discretization of partial differential equations. This method is especially useful for sparse, symmetric, and positive-definite matrices. In this blog post, we’ll delve into the intricacies of the Conjugate Gradient method, exploring its principles, […]
