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A comparison of several methods of solving nonlinear regression groundwater flow problems.

Water Resources Research

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Abstract

Computational efficiency and computer memory requirements for four methods of minimizing functions were compared for four test nonlinear-regression steady state groundwater flow problems. The fastest methods were the Marquardt and quasi-linearization methods, which required almost identical computer times and numbers of iterations; the next fastest was the quasi-Newton method, and last was the Fletcher-Reeves method, which did not converge in 100 iterations for two of the problems.-from Author

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
A comparison of several methods of solving nonlinear regression groundwater flow problems.
Series title:
Water Resources Research
Volume
21
Issue:
10
Year Published:
1985
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Water Resources Research
First page:
1525
Last page:
1538
Number of Pages:
14