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Relative efficiency of four parameter-estimation methods in steady-state and transient ground-water flow models

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Edited by: Gambolati G.Rinaldo A.Brebbia C.A.Gray W.G.Pinder G.F.

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Abstract

Parameters in numerical ground-water flow models have been successfully estimated using nonlinear-optimization methods such as the modified Gauss-Newton (GN) method and conjugate-direction methods. This paper investigates the relative efficiency of GN and three conjugate-direction parameter-estimation methods on two-dimensional, steady-state and transient ground-water flow test cases. The steady-state test cases are included to compare the performance of the algorithm with published examples. The three conjugate-direction methods are the Fletcher-Reeves (FR) and quasi-Newton (QN) regression methods, and combination Fletcher-Reeves quasi-Newton (FR-QN). All three are combined with Newton's method of calculating step size. The numerical ground-water flow model is described by McDonald and Harbaugh.
Publication type Conference Paper
Publication Subtype Conference Paper
Title Relative efficiency of four parameter-estimation methods in steady-state and transient ground-water flow models
ISBN 038752701X
Year Published 1990
Language English
Publisher Publ by Springer-Verlag Berlin
Publisher location Berlin 33, Germany
Larger Work Title Computational Methods in Subsurface Hydrology
First page 103
Last page 108
Conference Title Proceedings of the 8th International Conference on Computational Methods in Water Resources
Conference Location Venice, Italy
Conference Date 11 June 1990 through 15 June 1990
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