Search Results - subject:"Gradient method"

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 …

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 proximal quasi-Newton trust-region method for nonsmooth regularized optimization

Aravkin, Aleksandr; Baraldi, Robert; Orban, Dominique - 2021

Persistent link: https://www.econbiz.de/10012588124

A proximal gradient method for control problems with non-smooth and non-convex control cost

Natemeyer, Carolin; Wachsmuth, Daniel - In: Computational Optimization and Applications 80 (2021) 2, pp. 639-677

We investigate the convergence of the proximal gradient method applied to control problems with non-smooth and non …

Persistent link: https://www.econbiz.de/10014501593

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

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

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

On the softplus penalty for large-scale convex optimization

Li, Meng; Grigas, Paul; Atamtürk, Alper - In: Operations research letters 51 (2023) 6, pp. 666-672

Persistent link: https://www.econbiz.de/10014465883

A gradient-based reinforcement learning model of market equilibration

He, Zhongzhi - In: Journal of economic dynamics & control 152 (2023), pp. 1-21

Persistent link: https://www.econbiz.de/10014427608

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