A New Spectral Conjugate Gradient method for solving unconstrained Optimization problems [PDF]
مجلة ابحاث كلية التربية الاساسية, 2022 The spectral conjugate gradient methods are fascinating, and it has been shown that they are useful for strictly convex quadratic reduction when used properly.
أسامة محمد طاهر ویس +2 more
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Comparison Between Steepest Descent Method and Conjugate Gradient Method by Using Matlab
Journal of Studies in Science and Engineering, 2021 The Steepest descent method and the Conjugate gradient method to minimize nonlinear functions have been studied in this work. Algorithms are presented and implemented in Matlab software for both methods.
Dana Taha Mohammed Salih +1 more
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Optimal CD-DY Conjugate Gradient Methods with Sufficient Descent [PDF]
المجلة العراقية للعلوم الاحصائية, 2013 Conjugate Gradient (CG) methods are widely used for large scale unconstrained optimization problems. Most of CG-methods don’t always generate a descent search direction, so the descent condition is usually assumed in the analysis and implementations.
Abbas Y. Al-Bayati, Hawraz N. Al-Khayat
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Three-terms conjugate gradient algorithm based on the Dai-Liao and the Powell symmetric methods [PDF]
Kirkuk Journal of Science, 2017 Based on the Dai-Laio and Powell symmetric methods, we developed a new three – term conjugate gradient method for solving large-scale unconstrained optimization problem.
Prof. Khalil K. Abbo, Aynur J. Namik
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Nonlinear conjugate gradient methods in micromagnetics
AIP Advances, 2017 Conjugate gradient methods for energy minimization in micromagnetics are compared. The comparison of analytic results with numerical simulation shows that standard conjugate gradient method may fail to produce correct results. A method that restricts the
J. Fischbacher +11 more
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The implementation of conjugate gradient methods for data fitting
Data Analytics and Applied Mathematics, 2023 The conjugate gradient (CG) method is widely used to solve the unconstrained optimization problem by finding the optimal solution. This problem can be solved by an iterative method.
NORHASLINDA ZULL PAKKAL +6 more
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A Modified Hybrid Conjugate Gradient Method for Unconstrained Optimization
Journal of Mathematics, 2021 The nonlinear conjugate gradient algorithms are a very effective way in solving large-scale unconstrained optimization problems. Based on some famous previous conjugate gradient methods, a modified hybrid conjugate gradient method was proposed.
Minglei Fang +3 more
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On Meinardus’ examples for the conjugate gradient method [PDF]
Mathematics of Computation, 2007 The conjugate gradient (CG) method is widely used to solve a positive definite linear system A x = b
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Two efficient modifications of AZPRP conjugate gradient method with sufficient descent property
Journal of Inequalities and Applications, 2022 The conjugate gradient method can be applied in many fields, such as neural networks, image restoration, machine learning, deep learning, and many others.
Zabidin Salleh +2 more
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A STEP-LENGTH FORMULA FOR CONJUGATE GRADIENT METHODS
Malaysian Journal of Computing, 2020 A newly step-length formula is proposed for implementing conjugate gradient methods’ algorithm to solve unconstrained optimization problems. The unified formula for obtaining step-length does not involve any matrix operation.
Adam Ajimoti Ishaq, Tolulope Latunde, Kazeem Babatunde Akande
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