Böcker i Advances in Computer Science and Engineering: Texts-serien

Presents an overview of methods that are used to evaluate the performance of computer systems and networks, manufacturing systems, and interconnected services systems. This title includes chapters on numerical methods for queueing models and on G-networks.

Develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels.

Presents an original approach to the history of the field of computer science. This title covers various aspects of computer science, going from the theory of computation, the theory of programming, and the theory of computer system performance, all the way to computer hardware and to major numerical applications of computers.

Residue number systems (RNSs) and arithmetic are useful for several reasons. This book provides an account of RNSs and arithmetic. It covers the underlying mathematical concepts of RNSs; the conversion between conventional number systems and RNSs; and, the implementation of arithmetic operations. It introduces various related applications.

Explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. This title provides readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility.

Computation is ubiquitous: modern life would be inconceivable without it. This book includes conversations with famous computer scientists, mathematicians and physicists who have made essential contributions to the development of computing and its applications.

Focuses on the identification of the organising concepts of some physical and biological phenomena, by means of an analysis of the foundations of mathematics and of physics.

Investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. This title is suitable for researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.