Mathematical Optics: Classical, Quantum, and Computational Methods

This text introduces the general principles involved in system design and optimization as applicable to thermal systems, followed by the methods to accomplish them. It features real-world examples and follows a conversational style. The book will, for the first time, introduce contemporary techniques like Genetic Algorithms, Simulated annealing, ANN and Bayesian inference in the context of optimization of thermal systems. There will be a separate chapter devoted to inverse problems in thermal systems, which will be another unique feature in the textbook.