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C++ for Java Programmers
C++ for Java Programmers

Written for the moderately experienced Java programmer, this book builds on readers¿ existing knowledge of object-oriented programming and covers all important aspects of Standard C++—emphasizing more lower-level C-style details later in the presentation. Chapter topics include philosophy of C++, simplest C++, pointers...

Starting Out with C++: Early Objects (8th Edition)
Starting Out with C++: Early Objects (8th Edition)

Tony Gaddis’s accessible, step-by-step presentation helps beginners understand the important details necessary to become skilled programmers at an introductory level. Gaddis motivates the study of both programming skills and the C++ programming language by presenting all the details needed to understand the “how” and the...

Robust Control Systems with Genetic Algorithms (Control Series)
Robust Control Systems with Genetic Algorithms (Control Series)

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes.

Robust
...

Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)
Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)

Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...

Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)
Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always...

Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003, Proceedings, Part I (Lecture Notes in Computer Science)
Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003, Proceedings, Part I (Lecture Notes in Computer Science)

These proceedings contain the papers presented at the 5th Annual Genetic and Evolutionary Computation Conference (GECCO 2003). The conference was held in Chicago, USA, July 12–16, 2003.

A total of 417 papers were submitted to GECCO 2003. After a rigorous doubleblind reviewing process, 194 papers were accepted for full
...

Introductory Statistics with R (Statistics and Computing)
Introductory Statistics with R (Statistics and Computing)
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the...
Flexible, Reliable Software: Using Patterns and Agile Development (Chapman & Hall/CRC Textbooks in Computing)
Flexible, Reliable Software: Using Patterns and Agile Development (Chapman & Hall/CRC Textbooks in Computing)

Flexible, Reliable Software: Using Patterns and Agile Development guides students through the software development process. By describing practical stories, explaining the design and programming process in detail, and using projects as a learning context, the text helps readers understand why a given...

Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
This volume presents papers from the Ninth International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2010) which took place in Riga, Latvia, in July 2010. Since this successful biennial series began in 1994, the Baltic DB&IS conferences have become an international forum of high scientific criteria for...
Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging (Lecture Notes in Computational Vision and Biomechanics)
Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging (Lecture Notes in Computational Vision and Biomechanics)
Digital geometry emerged as an independent discipline in the second half of the last century. It deals with geometric properties of digital objects and is developed with the unambiguous goal to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing. Different aspects...
Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)
Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)
Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs...
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...
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