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Optimization methods in mathematical modeling of technological processes

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization methods in mathematical modeling of technological processesby Alena Vagaska, Miroslav Gombar, Anton Panda.
Author:	Vagaska, Alena.
other author:	Gombar, Miroslav.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xvii, 170 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization.
Online resource:	https://doi.org/10.1007/978-3-031-35339-0
ISBN:	9783031353390$q(electronic bk.)

Optimization methods in mathematical modeling of technological processes
Vagaska, Alena.

Optimization methods in mathematical modeling of technological processes[electronic resource] /by Alena Vagaska, Miroslav Gombar, Anton Panda. - Cham :Springer Nature Switzerland :2023. - xvii, 170 p. :ill. (some col.), digital ;24 cm. - Mathematical engineering,2192-4740. - Mathematical engineering..

1. Optimization in Historical Context -- 2. Optimization -- 3. Optimization Methods in General -- 4. Selected Methods of Multidimensional Optimization -- 5. Optimization of Technological Processes.

This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathematical modeling of processes and systems, with a specific focus on the optimization modeling of technological processes. The authors discuss suitable linear, convex, and nonlinear optimization methods for solving problems in engineering practice. Real-world examples and data are used to numerically illustrate the implementation of these methods, utilizing the popular MATLAB software system and its extension to convex optimization. The book covers a wide range of topics, including mathematical modeling, linear programming, convex programming, and nonlinear programming, all with an engineering optimization perspective. It serves as a comprehensive guide for engineers, researchers, and students interested in the practical application of optimization methods in engineering.

ISBN: 9783031353390$q(electronic bk.)

Standard No.: 10.1007/978-3-031-35339-0doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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505 0 $a 1. Optimization in Historical Context -- 2. Optimization -- 3. Optimization Methods in General -- 4. Selected Methods of Multidimensional Optimization -- 5. Optimization of Technological Processes.
520 $a This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathematical modeling of processes and systems, with a specific focus on the optimization modeling of technological processes. The authors discuss suitable linear, convex, and nonlinear optimization methods for solving problems in engineering practice. Real-world examples and data are used to numerically illustrate the implementation of these methods, utilizing the popular MATLAB software system and its extension to convex optimization. The book covers a wide range of topics, including mathematical modeling, linear programming, convex programming, and nonlinear programming, all with an engineering optimization perspective. It serves as a comprehensive guide for engineers, researchers, and students interested in the practical application of optimization methods in engineering.
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