= Derivation of the conjugate gradient method
{wiki=Derivation_of_the_conjugate_gradient_method}
The Conjugate Gradient (CG) method is an iterative algorithm for solving systems of linear equations whose coefficient matrix is symmetric and positive-definite. The method is particularly useful for large systems of equations where direct methods (like Gaussian elimination) become impractical due to memory and computational constraints. Here’s a brief overview of the derivation of the Conjugate Gradient method.
Back to article page
