Principles in Theory of Computation

Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research.

Editors: Adamatzky, Andrew (Ed.)
The book is an encyclopedia in unconventional computing – the interdisciplinary science aimed to exploit principles of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices
The book advances topics of theory of computation, nature-inspired algorithms, chemical and biological prototypes of unconventional computing devices, synthetic biology, non-standard mathematics, nanocomputing, novel hardware, future and emergent computing technologies, self-organization, mathematical machines, and automata