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Optimization methods in mathematical...

Vagaska, Alena.

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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 processes/ by 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.
[NT 15003449]:	1. Optimization in Historical Context -- 2. Optimization -- 3. Optimization Methods in General -- 4. Selected Methods of Multidimensional Optimization -- 5. Optimization of Technological Processes.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization. -
Online resource:	https://doi.org/10.1007/978-3-031-35339-0
ISBN:	9783031353390

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

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

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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100 1 $a Vagaska, Alena. $3 3663412
245 1 0 $a Optimization methods in mathematical modeling of technological processes $h [electronic resource] / $c by Alena Vagaska, Miroslav Gombar, Anton Panda.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xvii, 170 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Mathematical engineering, $x 2192-4740
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.
650 0 $a Mathematical optimization. $3 517763
650 0 $a Technology $x Mathematical models. $3 924243
650 1 4 $a Mathematical and Computational Engineering Applications. $3 3592737
650 2 4 $a Process Engineering. $3 3591945
700 1 $a Gombar, Miroslav. $3 3663413
700 1 $a Panda, Anton. $3 2191504
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