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Thermal system design and optimization

Balaji, C.

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Thermal system design and optimization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Thermal system design and optimization/ by C. Balaji.
作者:	Balaji, C.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xvii, 377 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Thermodynamics - Mathematical models. -
電子資源:	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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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.
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