Search

Your search keyword '"*NONLINEAR statistical models"' showing total 2 results
2 results on '"*NONLINEAR statistical models"'

1. Discussion of "Application of a Hybrid Optimization Method in Muskingum Parameter Estimation" by Omid Bozorg Haddad, Farzan Hamedi, Elahe Fallah-Mehdipour, Hosein Orouji, and Miguel A. Mariño.

Author

Pazoki, Maryam

Subjects
*MATHEMATICAL optimization, *PARAMETER estimation, *NONLINEAR statistical models, *FLOOD routing, *SIMULATION methods & models
Abstract

The article discusses a study that applied a hybrid optimization method for the parameter estimation of two nonlinear Muskingum models. It describes the advantages of an optimization model for estimating the parameters of such models, including ease of use for engineers who do not have much information about optimization models. It also explains the significance of the models to the simulation of flood routing.

Published
2016
Full Text
View/download PDF

2. Closure to "Application of a Hybrid Optimization Method in Muskingum Parameter Estimation" by Omid Bozorg Haddad, Farzan Hamedi, Elahe Fallah-Mehdipour, Hosein Orouji, and Miguel A. Mariño.

Author

Hamedi, Farzan, Bozorg-Haddad, Omid, and Loáiciga, Hugo A.

Subjects
*MATHEMATICAL optimization, *PARAMETER estimation, *FLOOD routing, *NONLINEAR programming, *NONLINEAR statistical models
Abstract

A response to a discussion on a study that applied a hybrid optimization method for the parameter estimation of two nonlinear Muskingum models is presented. The authors clarified their use of a hybrid algorithm based on the shuffled frog leaping algorithm (SFLA) and Nelder-Mead simplex (NMS) for the parameter calibration of the nonlinear Muskingum flood routing procedure. They also addressed the claim that the nonlinear programming solver (NLP) is more effective than the SFLA-NMS method.

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results