Learn IT - Springer

S Programming (Statistics and Computing)

Springer, 2004

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...

Principles of Distributed Database Systems

Springer, 2011

This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced...

Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)

Springer, 2003

Intended as a companion for textbooks in mathematical methods for science and engineering, this book presents a large number of numerical topics and exercises together with discussions of methods for solving such problems using Mathematica(R). Although it is primarily designed for use with the author's "Mathematical Methods: For...

Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)

Springer, 2003

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R....

Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)

Springer, 2005

This work brings together two streams in computer algebra: symbolic integration and summation on the one hand, and fast algorithmics on the other hand. In many algorithmically oriented areas of computer science, theanalysisof- gorithms–placedintothe limelightbyDonKnuth’stalkat the 1970ICM –provides a crystal-clear criterion for...

Finite Element Modeling for Materials Engineers Using MATLAB®

Springer, 2011

The finite element method is often used for numerical computation in the applied sciences. It makes a major contribution to the range of numerical methods used in the simulation of systems and irregular domains, and its importance today has made it an important subject of study for all engineering students.

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Proceedings of the 2012 International Conference of Modern Computer Science and Applications (Advances in Intelligent Systems and Computing)

Springer, 2012

This volume contains the proceedings of the 2012 International Conference of Modern Computer Science and Applications (MCSA 2012) which was held on September 8, 2012 in Wuhan, China. The MCSA 2012 provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of modern computer science and...

Mathematical Logic for Computer Science: Third Edition

Springer, 2012

This book approaches mathematics based on the needs of computer science students, teaching logic by means of the method of semantic tableaux. The third edition is entirely rewritten, and includes new chapters on SAT solvers and model checking....

The Basics of S-PLUS (Statistics and Computing)

Springer, 2005

Proven bestseller: almost 6000 copies sold in the U.S. in two editions

New edition updated to cover S-PLUS 6.0

Can be used as an introduction to R, as well as S-PLUS

New exercises have been added; Includes a comparison of S-PLUS and R

Well-suited for self-study

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Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!)

Springer, 2011

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language.

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Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)

Springer, 2013

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...

Agile Software Engineering (Undergraduate Topics in Computer Science)

Springer, 2008

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...

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