On the Preconditioned Delayed Weighted Gradient Method

DOI10.5540/tcam.2023.024.03.00437MaRDI QIDQ6177046

Unnamed Author, Unnamed Author

Publication date: 16 January 2024

Published in: Trends in Computational and Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

preconditioninggradient methodsKrylov subspace methodsconvex quadratic optimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25) Decomposition methods (49M27)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An efficient gradient method using the Yuan steplength
• On a successive transformation of probability distribution and its application to the analysis of the optimum gradient method
• Estimation of the optimal constants and the thickness of thin films using unconstrained optimization
• Smooth and adaptive gradient method with retards
• Properties of the delayed weighted gradient method
• A delayed weighted gradient method for strictly convex quadratic minimization
• A family of spectral gradient methods for optimization
• On the steplength selection in gradient methods for unconstrained optimization
• Comparison of some conjugate direction procedures for function minimization
• R-linear convergence of the Barzilai and Borwein gradient method
• On spectral properties of steepest descent methods
• The university of Florida sparse matrix collection
• Two-Point Step Size Gradient Methods
• Gradient Method with Retards and Generalizations
• Gradient methods exploiting spectral properties
• Gradient projection methods for quadratic programs and applications in training support vector machines
• Some Algorithms for Minimizing a Function of Several Variables
• Benchmarking optimization software with performance profiles.