• 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