New quasi-Newton methods via higher order tensor models.
Many researches attempt to improve the efficiency of the usual quasi-Newton (QN) methods by accelerating the performance of the algorithm without causing more storage demand. They aim to employ more available information from the function values and gradient to approximate the curvature of the objec...
Main Authors: | Biglari, Fahmeh, Abu Hassan, Malik, Leong, Wah June |
---|---|
Format: | Article |
Language: | English English |
Published: |
Elsevier
2011
|
Online Access: | http://psasir.upm.edu.my/id/eprint/24642/1/New%20quasi.pdf |
Similar Items
-
New Quasi-Newton Equation And Method Via Higher Order Tensor Models
by: Gholilou, Fahimeh Biglari
Published: (2010) -
A family of least change diagonally quasi-Newton methods for nonlinear equations
by: Leong, Wah June, et al.
Published: (2010) -
Preconditioned subspace quasi-newton method for large scale optimization
by: Sim, Hong Seng, et al.
Published: (2014) -
Modified Quasi-Newton Methods For Large-Scale Unconstrained Optimization
by: Leong, Wah June
Published: (2003) -
Convergence of symmetric rank-one method based on modified Quasi-Newton equation
by: Khiyabani, Farzin Modarres, et al.
Published: (2010)