封面图片

A new steepest descent method with global convergence properties

One of the earliest and the best method to minimize a function is the classical steepest descent (SD) method. In this paper, a new modification of SD method is suggested using a new search direction, d k. The numerical results are presented based on number of iterations and CPU time. It shows that t...

Saved in:

书目详细资料
Main Authors:	Abidin, Z.Z., Mamat, M., Rivaie, M
格式:	Conference or Workshop Item
语言:	English
出版:	2016
主题:	Q Science (General) QA Mathematics
在线阅读:	http://eprints.unisza.edu.my/1111/1/FH03-FIK-16-06516.jpg http://eprints.unisza.edu.my/1111/
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Convergence of the Steepest Descent Method for Minimizing Convex Functions
由: Abu Hassan, Malik, et al.
出版: (2002)

Hybrid BFGS-ZMRI methods with global convergence properties
由: Abidin, Z.Z., et al.
出版: (2018)

A new type of descent conjugate gradient method with exact line search
由: Hajar, N., et al.
出版: (2016)

Modification of Steepest Descent Method for Solving Unconstrained Optimization
由: Zubai'dah Binti Zainal Abidin
出版: (2023)

A new modification of conjugate gradient method with global convergence properties
由: Dawahdeh, M., et al.
出版: (2018)

The global convergence properties of a conjugate gradient method
由: Mustafa, Mamat, et al.
出版: (2013)

A new modified RMIL CG method with global convergence properties
由: Yousef A. Baker, El-Ebiary, et al.
出版: (2019)

Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
由: Mustafa, Mamat, et al.
出版: (2014)

Another modified dprp conjugate gradient method with global convergent properties
由: Mustafa, Mamat, et al.
出版: (2015)

The proof of sufficient descent condition for a new type of conjugate gradient methods
由: Mustafa, Mamat, et al.
出版: (2013)

The convergence properties of a new type of conjugate gradient methods
由: Mustafa, Mamat, et al.
出版: (2014)

The global convergence properties of a conjugate gradient method
由: Mustafa, Mamat, et al.
出版: (2014)

Conjugate gradient and steepest descent approach on quasi-Newton search direction
由: Mustafa, Mamat, et al.
出版: (2013)

A q-gradient descent algorithm with quasi-fejer convergence for unconstrained optimization problems
由: Mishra, Shashi Kant, et al.
出版: (2021)

Comparison of Kalman Filter and Steepest Descent Method for Assisted History Matching
由: Ab Aziz, Faranadia
出版: (2014)

A conjugate gradient method with descent properties under strong Wolfe line search
由: Mustafa, Mamat, et al.
出版: (2017)

A new class of nonlinear conjugate gradient with global convergence properties
由: Basri, S., et al.
出版: (2018)

The proof of sufficient descent condition for a new type of conjugate gradient methods
由: Mustafa, Mamat, et al.
出版: (2014)

The Global Convergence Properties of an Improved Conjugate Gradient Method
由: Fatma Susilawati, Mohamad, et al.
出版: (2015)

Comparative study of Newton’s method, Broyden’s method and Steepest Descent method / Nur Alia Syahirah Mazlan and Nurzahida Mohd Zaharuddin
由: Mazlan, Nur Alia Syahirah, et al.
出版: (2019)

An application of Least Square method and Steepest Descent method for solving second order differential equation / Nurun Najwa Mohd Faizail
由: Mohd Faizail, Nurun Najwa
出版: (2018)

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

On the Numerical Exploration of Zero-Dimensional Greenhouse Model using Newton-Raphson and Steepest Descent Methods
由: Riza, R, et al.
出版: (2011)

A Switching Criterion in Hybrid Quasi-Newton BFGS - Steepest Descent Direction
由: Abu Hassan, Malik, et al.
出版: (1999)

Global convergence of a new class nonlinear conjugate gradient method with exact line search
由: Mamat, M., et al.
出版: (2021)

The proof of sufficient descent condition for a new type of conjugate gradient methods
由: Mustafa, Mamat, et al.
出版: (2014)

A new conjugate gradient method and its global convergence under the exact line search
由: Mustafa, Mamat, et al.
出版: (2014)

Another Modified Conjugate Gradient Coefficient with Global Convergence Properties
由: Mustafa, Mamat, et al.
出版: (2015)

New class of hybrid conjugate gradient coefficients with guaranteed descent and efficient line search
由: Mustafa, Mamat, et al.
出版: (2019)

The convergence properties of new hybrid conjugate gradient method
由: Mustafa, M., et al.
出版: (2019)

An efficient hybrid conjugate gradient method with descent properties under strong Wolfe line search
由: Ibrahim Sulaiman, Mohammed, et al.
出版: (2021)

The Convergence Properties of a New Kind of Conjugate Gradient Method for Unconstrained Optimization
由: Zahrahtul Amani, Zakaria, et al.
出版: (2015)

Global convergence of a new spectral conjugate gradient by using strong wolfe line search
由: Zahrahtul Amani, Zakaria, et al.
出版: (2015)

A new classical conjugate gradient coefficient with exact line search
由: Shapiee, N., et al.
出版: (2016)

Global convergence analysis of a new nonlinear conjugate gradient coefficient with strong Wolfe line search
由: Mustafa, Mamat
出版: (2014)

The investigation of gradient method namely Steepest Descent and extending of Barzilai Borwein for solving unconstrained optimization problem / Nur Intan Syahirah Ismail & Nur Atikah Aziz
由: Ismail, Nur Intan Syahirah, et al.
出版: (2019)

A new convergent conjugate gradient method under the exact line search
由: Mustafa, Mamat
出版: (2014)

The convergence properties of a new hybrid conjugate gradient parameter for unconstrained optimization models
由: Sulaiman, I.M, et al.
出版: (2021)

A modification of classical conjugate gradient method using strong Wolfe line search
由: Mustafa, M., et al.
出版: (2016)

A new modified conjugate gradient coefficient for solving system of linear equations
由: Mustafa, Mamat, et al.
出版: (2017)