Results 21 to 30 of about 819,121 (316)
On New Conjugate Pair Method [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 This paper involves the combination between the conjugate pair and hybrid conjugate gradient methods. The new combined algorithm is based on exact line search and it is examined by using different nonlinear test functions in various dimensions ...
Abbas Al-Bayati +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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A Globally Convergence Spectral Conjugate Gradient Method for Solving Unconstrained Optimization Problems [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 In this paper, a modified spectral conjugate gradient method for solving unconstrained optimization problems is studied, which has sufficient descent direction and global convergence with an inexact line searches. The Fletcher-Reeves restarting criterion
Basim Hassan
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, 2021 Conjugate gradient methods more used in the field of unconstrained optimization, particularly large scale problems, Armijo condition one of the simple rule are commonly used to analyses and applications of CG methods.
H. Wasi, M. A. Shiker
semanticscholar +1 more source
A New Paired Spectral Gradient Method to Improve Unconstrained and Non-Linear Optimization [PDF]
Kirkuk Journal of Science, 2023 The conjugated spectral gradient (SCG) method is an effective method for non-constrained large-scale nonlinear optimization. In this work, a new spectral conjugate gradient method is proposed with a strong Wolfe-Powell line search (SWP). The new proposal
Siham Aziz, Zeyad Abdullah
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Anew Conjugate Gradient Algorithm Based on The (Dai-Liao) Conjugate Gradient Method
Tikrit Journal of Pure Science, 2020 In this paper we can derive a new search direction of conjugating gradient method associated with (Dai-Liao method ) the new algorithm becomes converged by assuming some hypothesis.
SHAHER QAHTAN HUSSEIN +2 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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Sufficient Descent Riemannian Conjugate Gradient Methods
Journal of Optimization Theory and Applications, 2021 This paper considers sufficient descent Riemannian conjugate gradient methods with line search algorithms. We propose two kinds of sufficient descent nonlinear conjugate gradient methods and prove these methods satisfy the sufficient descent condition even on Riemannian manifolds.
Hiroyuki Sakai, Hideaki Iiduka
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Direct numerical simulation of turbulence on a Connection Machine CM-5 [PDF]
, 1995 In this paper we report on our first experiences with direct numerical simulation of turbulent flow on a 16-node Connection Machine CM-5. The CM-5 has been programmed at a global level using data parallel Fortran.
A.E.P. Veldman +9 more
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A new, globally convergent Riemannian conjugate gradient method [PDF]
, 2013 This article deals with the conjugate gradient method on a Riemannian manifold with interest in global convergence analysis. The existing conjugate gradient algorithms on a manifold endowed with a vector transport need the assumption that the vector ...
Iwai, Toshihiro, Sato, Hiroyuki
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