Search Results - subject:"Conjugate gradient"

An efficient scaled spectral preconditioner for sequences of symmetric positive definite linear systems

Diouane, Youssef; Gürol, Selime; Mouhtal, Oussama; … - 2024

Persistent link: https://www.econbiz.de/10015101699

A generalized scheme for split inclusion problem with conjugate like direction

Abubakar, Jamilu; Chaipunya, Parin; Kumam, Poom; … - In: Mathematical methods of operations research : ZOR 101 (2025) 1, pp. 51-71

Persistent link: https://www.econbiz.de/10015331076

A semi-conjugate gradient method for solving unsymmetric positive definite linear systems

Huang, Na; Dai, Yu-Hong; Orban, Dominique; Saunders, … - 2022

Persistent link: https://www.econbiz.de/10013279823

Unconstrained Optimization and Quantum Calculus

Ram, Bhagwat; Mishra, Shashi Kant; Lai, Kin Keung; … - 2024

Calculus -- Quantum-Steepest Descent Method with Quasi-Fejér Convergence -- Quantum- Fletcher-Reeves Conjugate Gradient Method … -- Quantum-Polak-Ribière-Polyak -- Conjugate Gradient Method.-Quantum-Dai-Yuan Conjugate Gradient Method -- Quantum … steepest descent, conjugate gradient and BFGS are generalized and comparative analyses will show the efficiency of the …

Persistent link: https://www.econbiz.de/10014544884

A solution method for nonlinear monotone equations via hybrid spectral conjugate gradient and signal recovery problems

Yusuf, Aliyu; Manjak, Nibron Haggai; Mohammad, Hassan; … - In: Operations research forum 5 (2024) 2, pp. 1-16

Persistent link: https://www.econbiz.de/10015179806

A structured Fletcher-Revees spectral conjugate gradient method for unconstrained optimization with application in robotic model

Salihu, Nasiru; Kumam, Poom; Awwal, Aliyu Muhammed; … - In: Operations research forum 4 (2023) 4, pp. 1-25

Persistent link: https://www.econbiz.de/10014388676

A family of hybrid conjugate gradient method with restart procedure for unconstrained optimizations and image restorations

Jiang, Xianzhen; Ye, Xiaomin; Huang, Zefeng; Liu, Meixing - In: Computers & operations research : and their … 159 (2023), pp. 1-9

Persistent link: https://www.econbiz.de/10014455607

Implementing and modifying Broyden class updates for large scale optimization

Buhmann, Martin; Siegel, Dirk - In: Computational Optimization and Applications 78 (2020) 1, pp. 181-203

Persistent link: https://www.econbiz.de/10014504471

Machine learning for multiple yield curve markets: Fast calibration in the Gaussian affine framework

Gümbel, Sandrine; Schmidt, Thorsten - In: Risks 8 (2020) 2, pp. 1-18

with the Adam optimizer and the non-linear conjugate gradient method, where the latter performs best. We also point towards …

Persistent link: https://www.econbiz.de/10013200584

Machine learning for multiple yield curve markets : fast calibration in the Gaussian affine framework

Gümbel, Sandrine; Schmidt, Thorsten - In: Risks : open access journal 8 (2020) 2/50, pp. 1-18

with the Adam optimizer and the non-linear conjugate gradient method, where the latter performs best. We also point towards …

Persistent link: https://www.econbiz.de/10012292851