Derivative-free Gauss-Newton-like Algorithm for Parameter Estimation

Scherbov S & Golubkov V (1986). Derivative-free Gauss-Newton-like Algorithm for Parameter Estimation. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-86-063

[img]
Preview
Text
WP-86-063.pdf

Download (321kB) | Preview

Abstract

This paper develops the idea of parameter estimation using the derivative-free nonlinear least-squares algorithm. The algorithm was found efficient and convenient for many applications.

Item Type: Monograph (IIASA Working Paper)
Research Programs: World Population (POP)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:56
Last Modified: 19 Jul 2016 18:38
URI: http://pure.iiasa.ac.at/2797

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313