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NLINLS: a Differential Evolution based nonlinear least squares Fortran 77 program

Mishra, SK (2007): NLINLS: a Differential Evolution based nonlinear least squares Fortran 77 program. Unpublished.

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Abstract

This paper provides the list of Fortran 77 codes of nonlinear least squares using Differential Evolution as the minimizer algorithm. It has been tested on a number of difficult nonlinear least squares problems (taken from NIST, USA including CPC-X Software challenge problems). Help on how to use the program also is provided.

Item Type:MPRA Paper
Additional Information:The text file NLINLS.TXT that may be directly copy-pasted in a Fortran editor (such as FORCE)may be freely downloaded from http://www1.webng.com/economics or http://www.freewebs.com/nehu_economics
Institution:North-Eastern Hill University, Shillong (India)
Language:English
Keywords:Nonlinear least squares; Differential Evolution; Fortran 77
Subjects:C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs
ID Code:4949
Deposited By:Sudhanshu Kumar Mishra
Deposited On:18. Sep 2007
Last Modified:07. Nov 2007 04:19
References:

· Kuester, JL and Mize, JH (1973) Optimization Techniques with Fortran, McGraw-Hill Book Co., New York. · Mishra, SK (2006) “A Note on Numerical Estimation of Sato’s Two-Level CES Production Function” , SSRN at http://www.ssrn.com/author=353253 · Mishra, SK (2007-a) "Estimation of Zellner-Revankar Production Function Revisited." Economics Bulletin, 3 (14), pp. 1-7. · Mishra, SK (2007-b) “Least Squares Estimation of Joint Production Functions by the Differential Evolution method of Global Optimization” Social Science Research Network (SSRN ) at http://www.ssrn.com/author=353253 · Storn, R and Price, K (1995) "Differential Evolution - A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces": Technical Report, International Computer Science Institute, Berkley.

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