Gradient method with multiple damping for large-scale unconstrained optimization

QR Code

Gradient method with multiple damping for large-scale unconstrained optimization

Gradient methods are popular due to the fact that only gradient of the objective function is required. On the other hand, the methods can be very slow if the objective function is very ill-conditioned. One possible reason for the inefficiency of the gradient methods is that a constant criterion, whi...

Full description

Bibliographic Details
Main Authors:	Sim, Hong Seng, Leong, Wah June, Chen, Chuei Yee
Format:	Article
Published:	Springer 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/80005/

Similar Items

Nonmonotone spectral gradient method based on memoryless symmetric rank-one update for large-scale unconstrained optimization
by: Hong, Seng Sim, et al.
Published: (2021)

Multi-step spectral gradient methods with modified weak secant relation for large scale unconstrained optimization
by: Hong, Seng Sim, et al.
Published: (2018)

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)

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

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

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

Multi-spectral gradient method via variational technique under log-determinant norm for large-scale optimization
by: Hong, Seng Sim, et al.
Published: (2017)

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

Scaled memoryless symmetric rank one method for large-scale unconstrained optimization
by: Leong, Wah June, et al.
Published: (2008)

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)

An improved multi-step gradient-type method for large scale optimization
by: Farid, Mahboubeh, et al.
Published: (2011)

Positive-definite memoryless symmetric rank one method for large-scale unconstrained optimization
by: Leong, Wah June, et al.
Published: (2011)

Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
by: Modarres, Farzin, et al.
Published: (2009)

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

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

Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization
by: Ng, Choong Boon, et al.
Published: (2014)

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

Multiple Alternate Steps Gradient Methods For Unconstrained Optimization
by: Lee, Sui Fong
Published: (2009)

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

Memoryless quasi-Newton-type methods via some weak secant relations for large-scale unconstrained optimization
by: Lim, Keat Hee, et al.
Published: (2024)

Memoryless symmetric rank-one method based on modified secant equation for large-scale unconstrained optimization
by: Khiyabani, Farzin Modarres, et al.
Published: (2009)

Preconditioned subspace quasi-newton method for large scale optimization
by: Sim, Hong Seng, et al.
Published: (2014)

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

Towards large scale unconstrained optimization
by: Abu Hassan, Malik
Published: (2007)

Sufficient descent three term conjugate gradient method via symmetric rank-one update for large-scale optimization
by: Moyi, Aliyu Usman, et al.
Published: (2016)

Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems
by: Zulkifli, Munierah, et al.
Published: (2023)

2020_New Modification of Conjugate Gradient Method and Its Hybridization to Solve Large-Scale Unconstrained Optimization Problems

Efficient ODE-based methods for unconstrained optimization
by: Yap, Chui Ying, et al.
Published: (2018)

Some diagonal preconditioners for limited memory quasi-Newton method for large Scale optimization
by: Sim, Hong Seng, et al.
Published: (2013)

Generalized Barzilai and Borwein method for large-scale unconstrained optimization.
by: Koo, Boon Yuan
Published: (2011)

Scaled memoryless symmetric rank one method for large-scale optimization.
by: Leong, Wah June, et al.
Published: (2011)

Convergence and stability of line search methods for unconstrained optimization.
by: Leong, Wah June, et al.
Published: (2013)

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

A scalar modification of three-term PRP-DL conjugate gradient method for solving large-scaled unconstrained optimization problems
by: Marjugi, Siti Mahani, et al.
Published: (2024)

Proximal variable metric method with spectral diagonal update for large scale sparse optimization
by: Woo, Gillian Yi Han, et al.
Published: (2023)

Structured symmetric rank-one method for unconstrained optimization
by: Modarres, Farzin, et al.
Published: (2011)