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  • 标题:A Full-Newton Step Interior Point Method for Fractional Programming Problem Involving Second Order Cone Constraint
  • 本地全文:下载
  • 作者:Mansour Saraj ; Ali Sadeghi ; Nezam Mahdavi Amiri
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2021
  • 卷号:17
  • 期号:2
  • 页码:427-433
  • DOI:10.18187/pjsor.v17i2.2431
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:Some efficient interior-point methods (IPMs) are based on using a self-concordant barrier function related to the feasibility set of the underlying problem.Here, we use IPMs for solving fractional programming problems involving second order cone constraints. We propose a logarithmic barrier function to show the self concordant property and present an algorithm to compute $\varepsilon-$solution of a fractional programming problem. Finally, we provide a numerical example to illustrate the approach.
  • 关键词:Fractional programming; Self concordant; Logarithm barrier function
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