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SpringerLink电子期刊(17)
ProQuest学位论文(2)
Elsevier电子期刊(16)
在“
Elsevier电子期刊
”中,
命中:
16
条,耗时:0.1559254 秒
在所有数据库中总计命中:
35
条
1.
On efficiency of nonmonotone
Armijo
-
type
line
search
es
作者:
Masoud Ahookhosh
;
a
;
ahoo.math@gmail.com
;
masoud.ahookhosh@univie.ac.at
;
Susan Ghaderi
b
;
susan.ghaderi23@gmail.com
关键词:
Unconstrained optimization
;
Armijo
-
type
line
search
;
Nonmonotone strategy
;
Global convergence
;
Computational efficiency
;
First- and second-order black-box information
刊名:Applied Mathematical Modelling
出版年:2017
2.
A class of modified FR conjugate gradient method and applications to non-negative matrix factorization
作者:
Xiangli Li
a
;
c
;
lixiangli@guet.edu.cn
;
Wen Zhang
a
;
Xiaoliang Dong
b
关键词:
Modified Fletcher&ndash
;
Reeves conjugate gradient method
;
Non-negative matrix factorization
;
Armijo
-
type
line
search
刊名:Computers & Mathematics with Applications
出版年:2017
3.
Three-steps modified Levenberg-Marquardt method with a new
line
search
for systems of non
line
ar equations
作者:
Keyvan Amini
;
kamini@razi.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
Faramarz Rostami
fara.rostami58@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Non
line
ar equations
;
Levenberg&ndash
;
Marquardt method
;
Local error bound condition
;
Line
search
;
Global and biquadratic convergence
刊名:Journal of Computational and Applied Mathematics
出版年:2016
4.
A fast convergent sequential
line
ar equation method for inequality constrained optimization without strict complementarity
作者:
Jinbao Jian
a
;
Daolan Han
b
;
handaolan@126.com" class="auth_mail
;
Qingjuan Xu
c
关键词:
Inequality constraints
;
Non
line
ar optimization
;
Sequential
line
ar equation algorithm
;
Global convergence
;
Super
line
ar convergence
刊名:Applied Mathematics and Computation
出版年:1 June 2014
5.
Further studies on the Wei-Yao-Liu non
line
ar conjugate gradient method
作者:
Li Zhang
;
mathlizhang@126.com
;
Shuyuan Jian
关键词:
The WYL method
;
The strong Wolfe
line
search
;
Armijo
type
line
search
;
Global convergence
刊名:Applied Mathematics and Computation
出版年:2013
6.
On the convergence of the modified Levenberg-Marquardt method with a nonmonotone second order
Armijo
type
line
search
作者:
Weijun Zhou
;
weijunzhou@126.com
关键词:
65K05
;
90C30
刊名:Journal of Computational and Applied Mathematics
出版年:2013
7.
A nonmonotone trust-region
line
search
method for large-scale unconstrained optimization
作者:
Masoud
;
Ahookhosh
a
;
;
ahoo.math@gmail.com
;
Keyvan
;
Amini
a
;
;
kamini@razi.ac.ir
;
Mohammad Reza
;
Peyghami
b
;
;
peyghami@kntu.ac.ir
关键词:
Unconstrained optimization
;
Trust-region method
;
Armijo
-
type
line
search
;
Nonmonotone technique
刊名:Applied Mathematical Modelling
出版年:2012
8.
A variant spectral-
type
FR conjugate gradient method and its global convergence
作者:
Aiguo Lu
;
a
;
xalag@21cn.com
;
Hongwei Liu
a
;
Xiuyun Zheng
a
;
Weijie Cong
a
关键词:
Conjugate gradient method
;
FR method
;
Wolfe
line
search
;
Armijo
-
type
line
search
;
Global convergence
刊名:Applied Mathematics and Computation
出版年:2011
9.
Two modified HS
type
conjugate gradient methods for unconstrained optimization problems
作者:
Zhi-Feng Dai
关键词:
Unconstrained optimization
;
Conjugate gradient method
;
Line
search
;
Sufficient descent property
;
Global convergence
刊名:Non
line
ar Analysis
出版年:2011
10.
The convergence rate of a restart MFR conjugate gradient method with inexact
line
search
作者:
Aiping Qu
;
Donghui Li
;
Min Li
关键词:
Unconstrained optimization
;
Restart Fletcher&ndash
;
Reeves conjugate gradient method
;
n-Step quadratic convergence
刊名:Applied Mathematics and Computation
出版年:2012
1
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