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Evolutionary Algorithms and Chaotic Systems (Studies in Computational Intelligence)
Evolutionary Algorithms and Chaotic Systems (Studies in Computational Intelligence)

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

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Cartesian Genetic Programming (Natural Computing Series)
Cartesian Genetic Programming (Natural Computing Series)

Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new...

Repairing and Querying Databases under Aggregate Constraints (SpringerBriefs in Computer Science)
Repairing and Querying Databases under Aggregate Constraints (SpringerBriefs in Computer Science)
Research has deeply investigated several issues related to the use of integrity constraints on relational databases. In particular, a great deal of attention has been devoted to the problem of extracting "reliable" information from databases containing pieces of information inconsistent with regard to some integrity constraints. In...
Solving Problems in Scientific Computing Using Maple and Matlab
Solving Problems in Scientific Computing Using Maple and Matlab
Modern computing tools like Maple (symbolic computation) and MATLAB (a numeric computation and visualisation program) make it possible to easily solve realistic nontrivial problems in scientific computing. In education, traditionally, complicated problems were avoided, since the amount of work for obtaining the solutions was not feasible for...
S Programming (Statistics and Computing)
S Programming (Statistics and Computing)

S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It...

3D Imaging in Medicine: Algorithms, Systems, Applications (Nato ASI Subseries F:)
3D Imaging in Medicine: Algorithms, Systems, Applications (Nato ASI Subseries F:)
The visualization of human anatomy for diagnostic, therapeutic, and educational pur­ poses has long been a challenge for scientists and artists. In vivo medical imaging could not be introduced until the discovery of X-rays by Wilhelm Conrad ROntgen in 1895. With the early medical imaging techniques which are still in use today, the...
Practical Optimization Methods: With Mathematica® Applications
Practical Optimization Methods: With Mathematica® Applications
This introductory textbook adopts a practical and intuitive approach, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand, and are often written in traditional computer languages, such as Basic, Fortran or Pascal. This book,...
Computer Science in Perspective: Essays Dedicated to Thomas Ottmann (Lecture Notes in Computer Science)
Computer Science in Perspective: Essays Dedicated to Thomas Ottmann (Lecture Notes in Computer Science)

By presenting state-of-the-art aspects of theoretical computer science and practical applications in various fields, this book commemorates the 60th birthday of Thomas Ottmann.

The 26 research papers presented span the whole range of Thomas Ottmann's scientific career, from formal languages to algorithms and data...

Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)
Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured...

Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)

This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover...

Agile Software Engineering (Undergraduate Topics in Computer Science)
Agile Software Engineering (Undergraduate Topics in Computer Science)
This textbook presents the current issues in software development methods. Special emphasis is placed on agile software development, being one of the mainstream paradigms for the management of software projects. Features and topics: (1) Examines the Agile manifesto and its implications. (2) Discusses the delivery of software projects on time and...
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges...
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