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.