At last researchers have an inexpensive library of Java-based numeric procedures for use in scientific computation. The first and only book of its kind, A Numeric Library in Java for Scientists and Engineers is a translation into Java of the library NUMAL (NUMerical procedures in ALgol 60).

This groundbreaking text presents...

HTML5 Games Most Wanted gathers the top HTML5 games developers and reveals the passion they all share for creating and coding great games. You'll learn programming tips, tricks, and optimization techniques alongside real-world code examples that you can use in your own projects. You won't just make...

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...

We are all familiar with the time-honored idea of a Virtual Machine that is neutral with respect to computer architecture and can be used to execute a high-level language, after its translation to the VM byte-code. This approach can be found in several successful mono-language systems, that support popular languages such as Java or...

Soft Computing (SC) techniques have been recognized nowadays as attractive solutions for modeling highly nonlinear or partially defined complex systems and processes. These techniques resemble biological processes more closely than conventional (more formal) techniques. However, despite its increasing popularity, soft computing lacks...

People often ask me why I chose to publish this work. Primarily, this book was motivated by my experience in industry after having been in the academic world for many years. We often hear about the need to bridge the gap between industry and academia, but one can easily intellectually understand something without having experienced it...

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or...

Approximation algorithms have developed in response to the impossibility of solving a great variety of important optimization problems. Too frequently, when attempting to get a solution for a problem, one is confronted with the fact that the problem is NP-haid. This, in the words of Garey and Johnson, means "I can't find an...

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them.The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe...

Materialized views have recently seen a renewed interest in the research and commercial communitites because of their applications in warehousing, retailing, billing, visualization, integrity constraints, query optimization, and decision support. All leading database vendors are currently implementing in their systems materialized views...