Nonlinear Optimization Applications Using the GAMS Technology

Nonlinear Optimization Applications Using the GAMS Technology
Author: Neculai Andrei
Publisher: Springer Science & Business Media
Total Pages: 356
Release: 2013-06-22
Genre: Mathematics
ISBN: 1461467977
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Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are presented so that the reader can quickly modify and update them to represent real-world situations.


Nonlinear Optimization Applications Using the GAMS Technology
Language: en
Pages: 356

Nonlinear Optimization Applications Using the GAMS Technology

Authors: Neculai Andrei
Categories: Mathematics
Type: BOOK - Published: 2013-06-22 - Publisher: Springer Science & Business Media

GET EBOOK

Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are pre
Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology
Language: en
Pages: 514

Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

Authors: Neculai Andrei
Categories: Mathematics
Type: BOOK - Published: 2017-12-04 - Publisher: Springer

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This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded
Modern Numerical Nonlinear Optimization
Language: en
Pages: 824

Modern Numerical Nonlinear Optimization

Authors: Neculai Andrei
Categories: Mathematics
Type: BOOK - Published: 2022-10-18 - Publisher: Springer Nature

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This book includes a thorough theoretical and computational analysis of unconstrained and constrained optimization algorithms and combines and integrates the mo
A Derivative-free Two Level Random Search Method for Unconstrained Optimization
Language: en
Pages: 126

A Derivative-free Two Level Random Search Method for Unconstrained Optimization

Authors: Neculai Andrei
Categories: Mathematics
Type: BOOK - Published: 2021-03-31 - Publisher: Springer Nature

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The book is intended for graduate students and researchers in mathematics, computer science, and operational research. The book presents a new derivative-free o
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization
Language: en
Pages: 515

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Authors: Neculai Andrei
Categories: Mathematics
Type: BOOK - Published: 2020-06-23 - Publisher: Springer Nature

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Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the