Conjugate gradient method - Wikipedia, the free encyclopedia
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چکیده
In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose matrix is symmetric and positive-definite. The conjugate gradient method is often implemented as an iterative algorithm, applicable to sparse systems that are too large to be handled by a direct implementation or other direct methods such as the Cholesky decomposition. Large sparse systems often arise when numerically solving partial differential equations or optimization problems.
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A Three-terms Conjugate Gradient Algorithm for Solving Large-Scale Systems of Nonlinear Equations
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