Results 31 to 40 of about 118,790 (360)
A modified nonlinear conjugate gradient method for unconstrained optimization
, 2015 Ibrahim Mohammed Sulaiman +4 more
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Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity [PDF]
International Conference on Computer Graphics and Interactive TechniquesThe linear conjugate gradient method is widely used in physical simulation, particularly for solving large-scale linear systems derived from Newton’s method.
Xing Shen +3 more
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New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 Conjugate gradient methods are wildly used for unconstrained optimization especially when the dimension is large. In this paper we propose a new kind of nonlinear conjugate gradient methods which on the study of Dai and Liao (2001), the new idea is how ...
Abbas Al-Bayati, Huda Ahmed
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Two Versions of the Spectral Nonlinear Conjugate Gradient Method
Al-Mustansiriyah Journal of Science, 2018 The nonlinear conjugate gradient method is widely used to solve unconstrained optimization problems. In this paper the development of different versions of nonlinear conjugate gradient methods with global convergence properties proved.
Basim A. Hassan, Haneen A. Alashoor
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Spectral CG Algorithm for Solving Fuzzy Non-linear Equations
Iraqi Journal for Computer Science and Mathematics, 2022 The non-linear conjugate gradient method is a very effective technique for addressing Large-Scale minimization problems, and it has a wide range of applications in Mathematics, Chemistry, Physics, Engineering, and Medicine, etc.
Mezher M. Abed +2 more
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Improved conjugate gradient method for nonlinear system of equations
Computational and Applied Mathematics, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M. Waziri, A. Yusuf, A. Abubakar
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Tikrit Journal of Pure Science, 2023 In this Research we developed a New Hybrid method of conjugate gradient type, this Method depends basically on combining Fletcher-Reeves and Polak-Ribiere algorithms by using spectral direction conjugate algorithm, which is developed by Yang Z & Kairong
Khalil K. Abbo, Hisham M. Khudhur
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A three-parameter family of nonlinear conjugate gradient methods [PDF]
Mathematics of Computation, 2000 Summary: We propose a three-parameter family of conjugate gradient methods for unconstrained optimization. The three-parameter family of methods not only includes the already existing six practical nonlinear conjugate gradient methods, but subsumes some other families of nonlinear conjugate gradient methods as its subfamilies.
Dai, Y. H., Yuan, Y.
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On nonlinear generalized conjugate gradient methods
Numerische Mathematik, 1994 A nonlinear generalized conjugate gradient method for solving systems of nonlinear equations (including nonsymmetric Jacobian) is presented and analysed. If the Jacobian is positive definite and the Hessian is bounded then the method converges globally to one of the solutions. Also, preconditioned nonlinear methods of three types are discussed.
Axelsson, A.O.H., Chronopoulos, A.T.
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A Modified Conjugate Gradient Approach for Reliability-Based Design Optimization
IEEE Access, 2020 To improve the efficiency of structural reliability-based design optimization (RBDO) based on the performance measure approach (PMA), a modified conjugate gradient approach (MCGA) is proposed for RBDO with nonlinear performance function.
Zhiming Wang, Yafei Zhang, Yalong Song
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