DocumentCode :
3777910
Title :
Algorithms for solving unconstrained optimization problems
Author :
Ping Kuang; Qin-Min Zhao; Zhen-Yu Xie
Author_Institution :
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
fYear :
2015
Firstpage :
379
Lastpage :
382
Abstract :
The computational method of unconstrained optimization problem is an important research topic in the field of numerical computation. It is of great significance to solve the problem of unconstrained optimization. There are many ways that are applied to settle these questions, so we need to choose a method which owns much faster and less complex trait. Furthermore, in order to solve this rubs, this paper presents a comparative study of the common algorithms and our approach which are used to handle some concrete unconstrained optimization problems.
Keywords :
"Algorithm design and analysis","Convergence","Newton method","Approximation algorithms","Iterative methods","Optimization methods"
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2015 12th International Computer Conference on
Type :
conf
DOI :
10.1109/ICCWAMTIP.2015.7494013
Filename :
7494013
Link To Document :
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