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Thermal system design and optimization

Balaji, C.

Thermal system design and optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Thermal system design and optimizationby C. Balaji.
Author:	Balaji, C.
Published:	Cham :Springer International Publishing :2021.
Description:	xvii, 377 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	ThermodynamicsMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-59046-8
ISBN:	9783030590468$q(electronic bk.)

Thermal system design and optimization
Balaji, C.

Thermal system design and optimization[electronic resource] /by C. Balaji. - Second edition. - Cham :Springer International Publishing :2021. - xvii, 377 p. :ill. (some col.), digital ;24 cm.

Introduction to Design and System Design -- System Simulation -- Curve Fitting -- Optimization-Basic Ideas and Formulation -- Lagrange Multipliers -- Search Methods -- Linear Programming and Dynamic Programming -- Non-traditional Optimization Techniques -- Inverse Problems.

This highly informative and carefully presented textbook introduces the general principles involved in system design and optimization as applicable to thermal systems, followed by the methods to accomplish them. It introduces contemporary techniques like Genetic Algorithms, Simulated Annealing, and Bayesian Inference in the context of optimization of thermal systems. There is a separate chapter devoted to inverse problems in thermal systems. It also contains sections on Integer Programming and Multi-Objective optimization. The linear programming chapter is fortified by a detailed presentation of the Simplex method. A major highlight of the textbook is the inclusion of workable MATLAB codes for examples of key algorithms discussed in the book. Examples in each chapter clarify the concepts and methods presented and end-of-chapter problems supplement the material presented and enhance the learning process.

ISBN: 9783030590468$q(electronic bk.)

Standard No.: 10.1007/978-3-030-59046-8doiSubjects--Topical Terms:

243703
Thermodynamics
--Mathematical models.

LC Class. No.: TJ265 / .B353 2021

Dewey Class. No.: 621.4021

Thermal system design and optimization
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100 1 $a Balaji, C. $3 890167
245 1 0 $a Thermal system design and optimization $h [electronic resource] / $c by C. Balaji.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvii, 377 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction to Design and System Design -- System Simulation -- Curve Fitting -- Optimization-Basic Ideas and Formulation -- Lagrange Multipliers -- Search Methods -- Linear Programming and Dynamic Programming -- Non-traditional Optimization Techniques -- Inverse Problems.
520 $a This highly informative and carefully presented textbook introduces the general principles involved in system design and optimization as applicable to thermal systems, followed by the methods to accomplish them. It introduces contemporary techniques like Genetic Algorithms, Simulated Annealing, and Bayesian Inference in the context of optimization of thermal systems. There is a separate chapter devoted to inverse problems in thermal systems. It also contains sections on Integer Programming and Multi-Objective optimization. The linear programming chapter is fortified by a detailed presentation of the Simplex method. A major highlight of the textbook is the inclusion of workable MATLAB codes for examples of key algorithms discussed in the book. Examples in each chapter clarify the concepts and methods presented and end-of-chapter problems supplement the material presented and enhance the learning process.
650 0 $a Thermodynamics $x Mathematical models. $3 243703
650 0 $a Heat engineering $x Mathematical models. $3 890245
650 0 $a Thermodynamics $x Data processing. $3 483447
650 0 $a Mathematical optimization. $3 183292
650 0 $a Mechanical engineering. $3 190348
650 1 4 $a Engineering Thermodynamics, Heat and Mass Transfer. $3 338996
650 2 4 $a Optimization. $3 274084
650 2 4 $a Industrial Chemistry/Chemical Engineering. $3 273974
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-59046-8
950 $a Engineering (SpringerNature-11647)