Learn IT - Today Books

Lie Algebras: Theory and Algorithms, Volume 56 (North-Holland Mathematical Library)

North Holland, 2000

The aim of the present work is two-fold. Firstly it aims at a giving an account of many existing algorithms for calculating with finite-dimensional Lie algebras. Secondly, the book provides an introduction into the theory of finite-dimensional Lie algebras. These two subject areas are intimately related. First of all, the algorithmic perspective...

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory (Operations Research/Computer Science Interfaces Series)

Springer, 2002

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that...

An R and S-Plus® Companion to Multivariate Analysis (Springer Texts in Statistics)

Springer, 2007

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is...

Handbook of Computer Vision Algorithms in Image Algebra

CRC Press, 2000

Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise...

Mastering Mathematica: Programming Methods and Applications/Book and Disk

Academic Press, 1994

This book addresses the use of Mathematica as a symbolic manipulator, a programming language, and a general tool for knowledge representation. The main focus of the book, however, is on the use of Mathematica as a programming language.

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Web Application Design and Implementation: Apache 2, PHP5, MySQL, JavaScript, and Linux/UNIX

John Wiley & Sons, 2006

Web Application Design and Implementation uses a hands-on approach of the major technologies and programming languages to teach readers web development. Providing an understanding of all major aspects of web programming in order to achieve the construction of a database-driven website, the book features state-of-the-art programming...

Variants of Evolutionary Algorithms for Real-World Applications

Springer, 2011

Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book...

Data Mining Using SAS Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Springer, 2002

Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet user-friendly SAS macro-call files. These methods...

Exploring Analytical Geometry with Mathematica

Academic Press, 1999

The study of two-dimensional analytic geometry has gone in and out of fashion several times over the past century, however this classic field of mathematics has once again become popular due to the growing power of personal computers and the availability of powerful mathematical software systems, such as Mathematica, that can provide an...

Clinical Trial Data Analysis Using R (Chapman & Hall/CRC Biostatistics Series)

CRC Press, 2010

Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step...

Visual C++(r).NET Developer's Guide

McGraw-Hill, 2002

This is the hard-core resource for serious developers. Coverage includes ADO, ADO+, Acrive Directory, Security, trheads, attributed programming, ATL, web forms, and a complete overview of integration with the .NET platform....

Shadow Algorithms Data Miner

CRC Press, 2012

Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation.

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