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Thermal System Design and Optimization [electronic resource] / by C. Balaji.

By: Balaji, C [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 2nd ed. 2021.Description: XVII, 377 p. 155 illus., 2 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030590468.Subject(s): Thermodynamics | Heat engineering | Heat transfer | Mass transfer | Mathematical optimization | Production engineering | Engineering Thermodynamics, Heat and Mass Transfer | Optimization | Thermal Process EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.4021 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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.

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