Derivation of the conjugate gradient method
ID: 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.
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