Modified Quasi-Newton Methods For Large-Scale Unconstrained Optimization

QR Code

Modified Quasi-Newton Methods For Large-Scale Unconstrained Optimization

The focus of this thesis is on finding the unconstrained minimizer of a function, when the dimension n is large. Specifically, we will focus on the wellknown class of optimization methods called the quasi-Newton methods. First we briefly give some mathematical background. Then we discuss the quas...

Full description

Bibliographic Details
Main Author:	Leong, Wah June
Format:	Thesis
Language:	English English
Published:	2003
Subjects:	Mathematical optimization.
Online Access:	http://psasir.upm.edu.my/id/eprint/11702/ http://psasir.upm.edu.my/id/eprint/11702/1/FSAS_2003_60.pdf

Similar Items

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

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

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

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

Quasi-Newton type method via weak secant equations for unconstrained optimization
by: Lim, Keat Hee
Published: (2021)

On the Modifications of a Broyden's Single Parameter Rank-Two Quasi-Newton Method for Unconstrained Minimization
by: Leong, Wah June
Published: (1999)

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

Quasi-Newton methods based on ordinary differential equation approach for unconstrained nonlinear optimization
by: Khiyabani, Farzin Modarres, et al.
Published: (2014)

A class of diagonal quasi-newton methods for large-scale convex minimization
by: Leong, Wah June
Published: (2015)

Modified quasi-Newton type methods using gradient flow system for solving unconstrained optimization
by: Yap, Chui Ying
Published: (2016)

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

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

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

Globalization of Barzilai and Borwein Method for Unconstrained Optimization
by: Farid, Mahboubeh
Published: (2009)

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

A matrix-free quasi-Newton method for solving large-scale nonlinear systems.
by: Leong, Wah June, et al.
Published: (2011)

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

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

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

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

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

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

Convergence and Stability of Line Search Methods for Unconstrained Optimization
by: Leong, Wah, et al.
Published: (2013)

Convergence of symmetric rank-one method based on modified Quasi-Newton equation
by: Khiyabani, Farzin Modarres, et al.
Published: (2010)

Diagonal quasi-newton's method for large-scale systems of nonlinear equations
by: Yusuf, Mohammed Waziri
Published: (2011)

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

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

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

A family of least change diagonally quasi-Newton methods for nonlinear equations
by: Leong, Wah June, et al.
Published: (2010)

Two-step diagonal Newton method for large-scale systems of nonlinear equations
by: Waziri, Mohammed Yusuf, et al.
Published: (2011)

New quasi-Newton methods via higher order tensor models.
by: Biglari, Fahmeh, et al.
Published: (2011)

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

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

New BFGS method for unconstrained optimization problem based on modified Armijo line search
by: Wan, Zhong, et al.
Published: (2012)

Two-step derivative-free diagonally Newton's method for large-scale nonlinear equations
by: Yusuf, Mohammed Waziri, et al.
Published: (2013)

Using Pattern Search Methods for Minimizing Clustering Problems
by: Shabanzadeh, Parvaneh, et al.
Published: (2010)