Learn IT - Springer

Active Rules in Database Systems (Monographs in Computer Science)

Springer, 1998

A timely survey of the field from the point of view of some of the subject's most active researchers. Divided into several parts organized by theme, the book first covers the underlying methodology regarding active rules, followed by formal specification, rule analysis, performance analysis, and support tools. It then moves on to the...

A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)

Springer, 2011

Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support...

Control of Noise and Structural Vibration: A MATLAB®-Based Approach

Springer, 2013

Control of Noise and Structural Vibration presents a MATLAB®-based approach to solving the problems of undesirable noise generation and transmission by structures and of undesirable vibration within structures in response to environmental or operational forces. The fundamentals of acoustics, vibration and coupling between vibrating...

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...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Springer, 2019

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

WALCOM: Algorithms and Computation: Second International Workshop, WALCOM 2008, Dhaka, Bangladesh, February 7-8, 2008, Proceedings (Lecture Notes in Computer Science)

Springer, 2008

This book constitutes the refereed proceedings of the Second International Workshop on Algorithms and Computation, WALCOM 2008, held in Dhaka, Bangladesh, in February 2008.

The 19 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 57 submissions. The papers feature...

Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences (Use R!)

Springer, 2011

This accessible primer on multivariate statistics in the life sciences gives a full description of the general data analysis paradigm, from exploratory analysis to modeling to validation; covers other aspects of chemometrics; and supplies the relevant R code.

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Differential Equations: An Introduction with Mathematica® (Undergraduate Texts in Mathematics)

Springer, 2010

The first edition (94301-3) was published in 1995 in TIMS and had 2264 regular US sales, 928 IC, and 679 bulk.

This new edition updates the text to Mathematica 5.0 and offers a more extensive treatment of linear algebra. It has been thoroughly revised and corrected throughout.

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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...

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...

Solving Problems in Scientific Computing Using Maple and MATLAB®

Springer, 2001

From the reviews: ".. An excellent reference on undergraduate mathematical computing." (American Mathematical Monthly) "... manuals for such systems (Maple and MATLAB) tend to use trivial examples, making it difficult for new users of such systems to quickly apply their power to real problems. The authors have written a good book...

Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)

Springer, 2013

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints,...

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