Algorithms and data structures

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades.

Repairable flow networks are a new area of research, which analyzes the repair and flow disruption caused by failures of components in static flow networks.

Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design.

Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date.

Evolving from an elementary discussion, this book develops the Euclidean algorithm to a very powerful tool to deal with general continued fractions, non-normal Pade tables, look-ahead algorithms for Hankel and Toeplitz matrices, and for Krylov subspace methods.

The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature.

This book provides an introduction to chemical engineering analysis- which reviews the processes and designs used to manufacture, use, and dispose of chemical products-and to Mathematica, one of the most powerful mathematical software tools available for symbolic, numerical, and graphical computing.

Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers.

This title is the result of a one-week workshop sponsored by the Swedish research agency, FRN, on the interface between complexity and art.

In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics.

An essential capacity of intelligence is the ability to learn.

Computability, Complexity, and Languages is an introductory text that covers the key areas of computer science, including recursive function theory, formal languages, and automata.

Bioinformatics has never been as popular as it is today.

Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems.

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling.

How computational methods can expand how we see, read, and listen to Holocaust testimonyThe Holocaust is one of the most documentedand now digitizedevents in human history.

How computational methods can expand how we see, read, and listen to Holocaust testimonyThe Holocaust is one of the most documentedand now digitizedevents in human history.

This book explores the intuitive appeal of neural networks and the genetic algorithm in finance.