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Book 2020each method, the convergence analysis, the computational performances and thecomparisons versus other conjugate gradient methods are given. .The theory behind the conjugate gradient algorithms presented as a methodology is developed with a clear, rigorous, and friendly exposition; the reader will gTOXIC 发表于 2025-3-22 02:27:45
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Conjugate Gradient Methods as Modifications of the Standard Schemes,g unconstrained optimization problems. These methods have good convergence properties and their iterations do not involve any matrices, making them extremely attractive for solving large-scale problems.过于光泽 发表于 2025-3-22 17:28:43
Linear Conjugate Gradient Algorithm,The linear conjugate gradient algorithm is dedicated to minimizing convex quadratic functions (or solving linear algebraic systems of equations with positive definite matrices). This algorithm was introduced by Hestenes and Stiefel (1952).Entrancing 发表于 2025-3-23 01:07:35
General Convergence Results for Nonlinear Conjugate Gradient Methods,General convergence results for nonlinear conjugate gradient methods.遗留之物 发表于 2025-3-23 04:19:48
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Acceleration of Conjugate Gradient Algorithms,It is common knowledge that in conjugate gradient algorithms, the search directions tend to be poorly scaled and consequently the line search must perform more function evaluations in order to obtain a suitable stepsize ..