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Model-Driven Software Development
Model-Driven Software Development
One of the basic principles of software engineering is abstraction, which mainly
refers to separation of the essential from the non-essential. In terms of software development,
the essential usually refers to the functionality to be implemented and
the non-essential to aspects such as the technical platform on which the software...
Advances in Probabilistic Databases for Uncertain Information Management (Studies in Fuzziness and Soft Computing)
Advances in Probabilistic Databases for Uncertain Information Management (Studies in Fuzziness and Soft Computing)

This book covers a fast-growing topic in great depth and focuses on the technologies and applications of probabilistic data management. It aims to provide a single account of current studies in probabilistic data management. The objective of the book is to provide the state of the art information to researchers, practitioners, and...

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...

Principles of Distributed Database Systems
Principles of Distributed Database Systems
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)
Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)
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)
Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)

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....

Finite Element Modeling for Materials Engineers Using MATLAB®
Finite Element Modeling for Materials Engineers Using MATLAB®

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.
 
...

Proceedings of the 2012 International Conference of Modern Computer Science and Applications (Advances in Intelligent Systems and Computing)
Proceedings of the 2012 International Conference of Modern Computer Science and Applications (Advances in Intelligent Systems and Computing)
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...
The Basics of S-PLUS (Statistics and Computing)
The Basics of S-PLUS (Statistics and Computing)

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

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

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