Výsledky vyhľadávania - Unconstrained optimization functions

A class of new subspace minimization conjugate gradient algorithms for unconstrained optimization.

Autori: Zhang, Jiahao Li, Kai Cheng, Wanyou

Zdroj: International Journal of Computer Mathematics. Nov2025, Vol. 102 Issue 11, p1738-1757. 20p.

Predmety: Conjugate gradient methods, Convex functions, Mathematical models, Mathematical optimization, Global optimization, Numerical calculations

Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods

Autori: Larson, Jeffrey Padidar, Misha Wild, Stefan M

Zdroj: Optimization Letters. 17(3)

Predmety: Applied Mathematics, Numerical and Computational Mathematics, Mathematical Sciences, Unrelaxable constraints, Merit function, Constrained optimization, Optimization, Operations Research, Applied mathematics

Prístupová URL adresa: https://escholarship.org/uc/item/4d03f284

A Nonmonotone Modified BFGS Algorithm for Nonconvex Unconstrained Optimization Problems

Autori: Amini, Keyvan Bahrami, Somayeh Amiri, Shadi

Zdroj: Filomat, 2016 Jan 01. 30(5), 1283-1296.

Prístupová URL adresa: https://www.jstor.org/stable/24898703

Newton-CG Methods for Nonconvex Unconstrained Optimization with Hölder Continuous Hessian

Autori: He, Chuan Huang, Heng Lu, Zhaosong

Zdroj: Mathematics of Operations Research.

Predmety: nonconvex unconstrained optimization, Newton-conjugate gradient method, Holder continuity, iteration complexity, operation complexity

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-214211
https://liu.diva-portal.org/smash/get/diva2:1963266/FULLTEXT01.pdf

A Three-term Conjugate Gradient Method with a Random Parameter for Large-scale Unconstrained Optimization and its Application in Regression Model

Autori: Yang, Yueting Zhang, Xue Zhou, Guoling a ďalší

Zdroj: Taiwanese Journal of Mathematics, 2023 Oct 01. 27(5), 1021-1039.

Prístupová URL adresa: https://www.jstor.org/stable/27254295

TWO ALGORITHMS FOR LC¹ UNCONSTRAINED OPTIMIZATION

Autori: Sun, Wen-yu de Sampaio, R.J.B. Yuan, Jin-Yun

Zdroj: Journal of Computational Mathematics, 2000 Nov 01. 18(6), 621-632.

Prístupová URL adresa: https://www.jstor.org/stable/43692891

A NEW NONMONOTONE TRUST REGION ALGORITHM FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

Autori: Liu, Jinghui Ma, Changfeng

Zdroj: Journal of Computational Mathematics, 2014 Jul 01. 32(4), 476-490.

Prístupová URL adresa: https://www.jstor.org/stable/43693820

A modified conjugate gradient method for solving unconstrained optimization with application in conditional mode regression.

Autori: Abd Elhamid, Mehamdia Yacine, Chaib

Zdroj: International Journal of Computer Mathematics. Sep2025, Vol. 102 Issue 9, p1415-1427. 13p.

Predmety: Conjugate gradient methods, Mathematical optimization, Numerical analysis, Global optimization, Quantile regression

Provably efficient large-scale reinforcement learning via primal-dual stochastic optimization

Autori: Okolo, Nneka

Prispievatelia: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Neu, Gergely

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Reinforcement learning, Linear programming, Stochastic optimization, Primal-dual methods, Online learning, Aprendizaje por refuerzo, Programación lineal, Optimización estocástica, Métodos primal-dual, Aprendizaje online

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/694221

A TRUST REGION ALGORITHM FOR LC ¹ UNCONSTRAINED OPTIMIZATION

Autori: Đuranović-Miličić, Nada

Zdroj: Filomat, 2007 Jan 01. 21(2), 285-290.

Prístupová URL adresa: https://www.jstor.org/stable/26194919

A MONOTONE GRADIENT METHOD VIA WEAK SECANT EQUATION FOR UNCONSTRAINED OPTIMIZATION

Autori: Leong, Wah June Hassan, Malik Abu Farid, Mahboubeh

Zdroj: Taiwanese Journal of Mathematics, 2010 Apr 01. 14(2), 413-423.

Prístupová URL adresa: https://www.jstor.org/stable/43834776

A new parameter for conjugate gradient methods using Dai and Liu conjugate condition to solve unconstrained optimization functions

Autori: Ali H. Hassan Khalil K. Abbo

Zdroj: AIP Conference Proceedings. 2899:060012

A NEW FAMILY OF TRUST REGION ALGORITHMS FOR UNCONSTRAINED OPTIMIZATION

Autori: Dai, Yuhong Xu, Dachuan

Zdroj: Journal of Computational Mathematics, 2003 Mar 01. 21(2), 221-228.

Prístupová URL adresa: https://www.jstor.org/stable/43693060

CURVILINEAR PATHS AND TRUST REGION METHODS WITH NONMONOTONIC BACK TRACKING TECHNIQUE FOR UNCONSTRAINED OPTIMIZATION

Autori: Zhu, De-tong

Zdroj: Journal of Computational Mathematics, 2001 May 01. 19(3), 241-258.

Prístupová URL adresa: https://www.jstor.org/stable/43692928

Old and new algorithms for polynomial unconstrained optimization problems in binary variables

Autori: Crama, Yves

Zdroj: NUMA Study Day 2023, Gand, Belgium [BE], 9 January 2023

Predmety: integer programming, polynomial binary optimization, quadratic optimization, pseudo-Boolean functions, dynamic programming, linearization, low autocorrelation sequences, Business & economic sciences, Quantitative methods in economics & management, Engineering, computing & technology, Computer science, Sciences économiques & de gestion, Méthodes quantitatives en économie & gestion, Ingénierie, informatique & technologie, Sciences informatiques

Prístupová URL adresa: https://orbi.uliege.be/handle/2268/298280

A descent modification of conjugate gradient method for blurry image reconstruction and unconstrained optimization.

Autori: Sulaiman, Ibrahim M. Khalid, Ruzelan Mohd Nawawi, Mohd Kamal a ďalší

Zdroj: AIP Conference Proceedings; 2024, Vol. 3123 Issue 1, p1-8, 8p

Predmety: CONJUGATE gradient methods, IMAGE reconstruction, NONLINEAR functions, MACHINE learning, ALGORITHMS, DEEP learning

A RESTRICTED TRUST REGION METHOD WITH SUPERMEMORY FOR UNCONSTRAINED OPTIMIZATION

Autori: Sun, L.P.

Zdroj: Journal of Computational Mathematics, 1996 Jul 01. 14(3), 195-202.

Prístupová URL adresa: https://www.jstor.org/stable/43692637

Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function

Autori: Ek, David Forsgren, Anders

Zdroj: Computational optimization and applications. 79(3):789-816

Predmety: Exact linesearch method, Limited-memory method, Method of conjugate gradients, Quasi-Newton method, Unconstrained quadratic program

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-309861
https://doi.org/10.1007/s10589-021-00277-4

Unconstrained Optimization by Approximation of the Gradient Path

Autori: Vial, Jean-Philippe Zang, Israel

Zdroj: Mathematics of Operations Research, 1977 Aug 01. 2(3), 253-265.

Prístupová URL adresa: https://www.jstor.org/stable/3689515

Some Numerical Results Using a Sparse Matrix Updating Formula in Unconstrained Optimization

Zdroj: Mathematics of Computation, 1978 Jul 01. 32(143), 839-851.

Prístupová URL adresa: https://www.jstor.org/stable/2006489