Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization

QR Code

Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization

The nonlinear conjugate gradient (CG) methods have widely been used in solving unconstrained optimization problems. They are well-suited for large-scale optimization problems due to their low memory requirements and least computational costs. In this paper, a new diagonal preconditioned conjugate gr...

Full description

Bibliographic Details
Main Authors:	Ng, Choong Boon, Leong, Wah June, Monsi, Mansor
Format:	Article
Language:	English
Published:	Universiti Putra Malaysia Press 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/40566/ http://psasir.upm.edu.my/id/eprint/40566/1/48.%20Diagonal%20Preconditioned%20Conjugate%20Gradient%20Algorithm%20for.pdf

Similar Items

A class of diagonally preconditioned limited memory BFGS method for large scale unconstrained optimization
by: Leong, Wah June, et al.
Published: (2009)

A new diagonal gradient-type method for large scale unconstrained optimization
by: Farid, Mahboubeh, et al.
Published: (2013)

Scaled diagonal gradient-type method with extra update for large-scale unconstrained optimization
by: Farid, Mahboubeh, et al.
Published: (2013)

A scaled three-term conjugate gradient method for unconstrained optimization
by: Arzuka, Ibrahim, et al.
Published: (2016)

A three-term conjugate gradient method with nonmonotone line search for unconstrained optimization
by: Moyi, Aliyu Usman, et al.
Published: (2016)

Preconditioning on subspace quasi-Newton method for large scale unconstrained optimization
by: Sim, Hong Seng, et al.
Published: (2013)

Scaled memoryless BFGS preconditioned steepest descent method for very large-scale unconstrained optimization
by: Leong, Wah June, et al.
Published: (2009)

A Class of Diagonally Preconditioned Limited Memory Quasi-Newton Methods for Large-Scale Unconstrained Optimization
by: Chen, Chuei Yee
Published: (2009)

A New Nonlinear Conjugate Gradient Coefficient for Unconstrained Optimization

A New Simple Conjugate Gradient Coefficient for Unconstrained Optimization

A Modified Nonlinear Conjugate Gradient Method for Unconstrained Optimization

A Modified Dprp Conjugate Gradient Method For Unconstrained Optimization

Refined Isogeometric Analysis for a preconditioned conjugate gradient solver
by: Garcia, D., et al.
Published: (2018)

Gradient method with multiple damping for large-scale unconstrained optimization
by: Sim, Hong Seng, et al.
Published: (2019)

A conjugate gradient method with inexact line search for unconstrained optimization

A modified fletcher-reeves conjugate gradient method for unconstrained optimization

Solving unconstrained optimization with a new type of conjugate gradient method

A Modified Fletcher-Reeves Conjugate Gradient Method for Unconstrained Optimization

A modified form of conjugate gradient method for unconstrained optimization problems

A monotone gradient method via weak secant equation for unconstrained optimization
by: Leong, Wah June, et al.
Published: (2010)

An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimisation

Conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization
by: Ling, Mei Mei
Published: (2015)

A new edition of conjugate gradient methods for large-scale unconstrained optimization

The Convergence Properties of a New Kind of Conjugate Gradient Method for Unconstrained Optimization

A combination of FR and HS coefficient in conjugate gradient method for unconstrained optimization

2019_Enhancing Spectral Conjugate Gradient Methods For Solving Unconstrained Optimization Problems

2017_New Conjugate Gradient and Its Hybrid Method for Unconstrained Optimization Problems

A modified conjugate gradient coefficient with inexact line search for unconstrained optimization

A new two-step gradient-type method for large-scale unconstrained optimization
by: Farid, Mahboubeh, et al.
Published: (2010)

The convergence properties of a new hybrid conjugate gradient parameter for unconstrained optimization models

A conjugate gradient method with Strong Wolfe-Powell line search for unconstrained optimization

2020_Modified Spectral Conjugate Gradient Methods For Unconstrained Optimization and System of Linear Equations

Global convergence properties of a new class of conjugate gradient method for unconstrained optimization

A new modified conjugate gradient method under the strong Wolfe line search for solving unconstrained optimization problems
by: Ishak, M. I., et al.
Published: (2022)

Preconditioning Subspace Quasi-Newton Method for Large Scale Unconstrained Optimization
by: Sim, Hong Sen
Published: (2011)

Gradient Type Optimization for Unconstrained Optimization
by: Guan, Hui Shan
Published: (2016)

The algorithms of Broyden-CG for unconstrained optimization problems
by: Ibrahim, Mohd Asrul Hery, et al.
Published: (2014)

A combination of polak-ribiere and hestenes-steifel coefficient in conjugate gradient method for unconstrained optimization

Gradient-Type Methods for Unconstrained Optimization
by: Guan, Hui Shan
Published: (2015)

Modified Quasi-Newton Methods For Large-Scale Unconstrained Optimization
by: Leong, Wah June
Published: (2003)