International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 10, October 2013 Edition [ISSN 2250-3153]


Comparative study of Optimization methods for Unconstrained Multivariable Nonlinear Programming Problems
      Neha Varma, Dr. Ganesh Kumar
Abstract: In this paper we propose to discuss unconstrained multivariable search methods that are used for optimization of nonlinear programming problems. Earlier Dr.William P.Fox and Dr.William H.Richardson [1] have attempted to solve such problems by using MAPPLE. But we have preferred to solve these problems by OR methods as our present area of research is OR. Although several OR methods are known but we have confined our discussions to Gradient search method, Newton’s method and Quasi- Newton methods. We propose to conclude the discussion by taking a suitable example.

Reference this Research Paper (copy & paste below code):

Neha Varma, Dr. Ganesh Kumar (2018); Comparative study of Optimization methods for Unconstrained Multivariable Nonlinear Programming Problems; Int J Sci Res Publ 3(10) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1013.php?rp=P221876
©️ Copyright 2011-2022 IJSRP - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.