Optimization and Optimal Control: Theory and Applications

Springer Optimization and its Applications publishes undergraduate and graduate textbooks, monographs and state - of - the - art expository works that focus on algorithms for solving optimization problems and applications involving such problems. Some of the topics include optimization, network flow problems, optimal control, multi-objective programming, approximation and heuristic approaches.

Optimization and optimal control are the main tools in decision making. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. Optimization and Optimal Control: Theory and Applications brings together the latest developments in these areas of research as well as presents applications of these results to a wide range of real-world problems.

The book is composed of invited contributions by experts from around the world who work with optimization and optimal control either at a theoretical level or in practice. Some key topics presented include: equilibrium problems, stochastic processes, decision algorithms, scheduling, queuing theory, quantum computing, agriculture, and industrial operations.

This volume can serve as a useful resource for researchers, practitioners, and advanced graduate students of mathematics and engineering working in research areas where results in optimization and optimal control can be applied.