Results 31 to 40 of about 13,326,208 (288)
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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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 feed forward neural network approach for matrix computations [PDF]
, 2001 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A new neural network approach for performing matrix computations is presented. The idea of this approach is to construct a feed-forward neural network (FNN)
Al-Mudhaf, Ali F
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Conjugate gradient algorithms for conic functions [PDF]
, 1986 summary:The paper contains a description and an analysis of two modifications of the conjugate gradient method for unconstrained minimization which find a minimum of the conic function after a finite number of steps.
Lukšan, Ladislav
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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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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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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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Nonlinear conjugate gradient methods [PDF]
, 2014 summary:Modifications of nonlinear conjugate gradient method are described and ...
Lukšan, Ladislav, Vlček, Jan
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International Journal of Biomedical Imaging, 2007 Conjugate gradient method is verified to be efficient for nonlinear optimization problems of large-dimension data. In this paper, a penalized linear and nonlinear combined conjugate gradient method for the reconstruction of fluorescence molecular ...
Shang Shang +4 more
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