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Thermal system design and optimization
~
Balaji, C.
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Thermal system design and optimization
Record Type:
Electronic resources : Monograph/item
Title/Author:
Thermal system design and optimization/ by C. Balaji.
Author:
Balaji, C.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
xvii, 377 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Thermodynamics - Mathematical models. -
Online resource:
https://doi.org/10.1007/978-3-030-59046-8
ISBN:
9783030590468
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
Standard No.: 10.1007/978-3-030-59046-8doiSubjects--Topical Terms:
653842
Thermodynamics
--Mathematical models.
LC Class. No.: TJ265 / .B353 2021
Dewey Class. No.: 621.4021
Thermal system design and optimization
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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.
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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
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Thermodynamics
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Mathematical models.
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Heat engineering
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Thermodynamics
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Engineering Thermodynamics, Heat and Mass Transfer.
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Engineering (SpringerNature-11647)
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W9399424
電子資源
11.線上閱覽_V
電子書
EB TJ265 .B353 2021
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