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Mathematical & Statistical Software

Most popular at the top

  • Numerical Analysis for Engineers and Scientistsby G. Miller

    Cambridge University Press 2014; US$ 79.00

    Graduate-level introduction balancing theory and application. Provides full coverage of classical methods with many practical examples and demonstration programs. more...

  • Graphics for Statistics and Data Analysis with Rby Kevin J Keen

    CRC Press 2010; US$ 79.95

    The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers? understanding of the graphical techniques discussed... more...

  • Combinatorial and Computational Mathematicsby Sungpyo Hong; Jin Ho Kwah; Ki Hang Kim; Fred W. Roush

    World Scientific Publishing Company 2001; US$ 208.00

    This book describes and summarizes past work in important areas of combinatorics and computation, as well as gives directions for researchers working in these areas in the 21st century. It contains primarily survey papers and presents original research by Peter Fishburn, Jim Ho Kwak, Jaeun Lee, K H Kim, F W Roush and Susan Williams. The papers deal... more...

  • Steiner Tree Problems in Computer Communication Networksby Dingzhu Du; Xiaodong Hu

    World Scientific Publishing Company 2008; US$ 189.00

    The Steiner tree problem is one of the most important combinatorial optimization problems. It has a long history that can be traced back to the famous mathematician Fermat (1601-1665). This book studies three significant breakthroughs on the Steiner tree problem that were achieved in the 1990s, and some important applications of Steiner tree problems... more...

  • Scientific Computing - An Introduction using Maple and MATLABby Walter Gander; Martin J. Gander; Felix Kwok

    Springer 2014; US$ 99.00

    Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing,... more...

  • Input Modeling with Phase-Type Distributions and Markov Modelsby Peter Buchholz; Jan Kriege; Iryna Felko

    Springer 2014; US$ 54.99

    Containing a summary of several recent results on Markov-based input modeling in a coherent notation, this book introduces and compares algorithms for parameter fitting and gives an overview of available software tools in the area. Due to progress made in recent years with respect to new algorithms to generate PH distributions and Markovian arrival... more...

  • Hands-On Programming with Rby Garrett Grolemund

    O'Reilly Media 2014; US$ 31.99

    Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you?ll learn how to load data, assemble and disassemble data objects, navigate R?s environment system, write your own functions, and use all of R?s programming tools. RStudio Master Instructor Garrett Grolemund... more...

  • Python Algorithmsby Magnus Lie Hetland

    Apress 2014; US$ 38.49

    Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python , this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important... more...

  • Computer Mathematicsby Ruyong Feng; Wen-shin Lee; Yosuke Sato

    Springer Berlin Heidelberg 2014; US$ 169.00

    This book covers original research and the latest advances in symbolic, algebraic and geometric computation; computational methods for differential and difference equations, symbolic-numerical computation; mathematics software design and implementation; and scientific and engineering applications based on features, invited talks, special sessions and... more...

  • Topics in Nonparametric Statisticsby Michael G. Akritas; S. N. Lahiri; Dimitris N. Politis

    Springer New York 2014; US$ 139.00

    This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N. Lahiri... more...