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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.
List of 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.
About the author
Dr. C Balaji is currently the T.T.Narendran Chair Professor in the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Madras, India. He graduated in Mechanical Engineering from Guindy Engineering College, Chennai, in 1990 and obtained his M.Tech (1992) and Ph.D. (1995) from IIT Madras in the area of heat transfer. His areas of interest include heat transfer, computational radiation, optimization, inverse problems, satellite meteorology and atmospheric sciences. He has more than 200 international journal publications to his credit and has guided 30 students so far. Prof. Balaji has several awards to his credit and notable among them include Young Faculty Recognition Award of IIT Madras (2007) for excellence in teaching and research, K.N. Seetharamu Award and Medal for excellence in Heat Transfer Research (2008), Swarnajayanthi Fellowship Award of the Government of India (2008-2013), Tamil Nadu Scientist Award (2010) of the Government of Tamilnadu , Marti Gurunath Award for excellence in teaching (2013) and Mid-Career Research Award (2015) both awarded by IIT Madras. He is a Humboldt Fellow and an elected Fellow of the Indian National Academy of Engineering. Prof.Balaji has authored 8 books thus far. He is currently the Editor-in-Chief of the International Journal of Thermal Sciences.
Summary
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.
