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Mathematical & Statistical Software

Most popular at the top

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

    World Scientific Publishing Company 2008; US$ 116.00 US$ 105.56

    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...

  • Robustness and Complex Data Structuresby Claudia Becker; Roland Fried; Sonja Kuhnt

    Springer Berlin Heidelberg 2014; US$ 100.72

    Presented in honor of Ursula Gather?s 60th birthday this book deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. more...

  • Complex Analysis with MATHEMATICA®by William T. Shaw

    Cambridge University Press 2006; US$ 92.00

    This book presents a way of learning complex analysis, using Mathematica. Includes CD with electronic version of the book. 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...

  • Basic Proof Theoryby A. S. Troelstra; H. Schwichtenberg

    Cambridge University Press 2000; US$ 48.00

    Introduction to proof theory and its applications in mathematical logic, theoretical computer science and artificial intelligence. more...

  • Mathematik lernen mit DERIVEby J. Böhm; J. Berry; E. Graham; A.J.P. Watkins

    Birkhäuser Basel 2013; US$ 15.98

    Mathematik lernen mit DERIVE entwickelt die mathematischen Grundlagen, die in den Natur- und Ingenieurwissenschaften benötigt werden, und ist gleichzeitig eine praktische Einführung in das Computer Algebra Programm DERIVE. Die Autoren legen auf zwei Aspekte von DERIVE besonderen Wert: Zum einen können Lernende DERIVE zu eigenen Untersuchungen nutzen,... more...

  • Höhere Mathematik mit Mathematicaby Walter Strampp; Victor Ganzha; Evgenij V. Vorozhtsov

    Vieweg+Teubner Verlag 2013; US$ 25.38

    Dieser vierte Band schließt den Kurs "Höhere Mathematik mit Mathematica" ab. Behandelt wird die komplexe Analysis, also Funktionentheorie, und ihre für den Praktiker wichtigen Anwendungen, Fourier- und Laplace-Transformation. Wie in den vorangegangenen Bänden wird auch hier großer Wert auf die didaktische Aufarbeitung des Mathematik-Stoffes und seine... more...

  • R Packagesby Hadley Wickham

    O'Reilly Media 2015; US$ 33.99

    Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham?s package development philosophy. In the process, you?ll work with devtools, roxygen, and testthat, a set of R packages that automate common... more...

  • Time Series Modeling for Analysis and Controlby Kohei Ohtsu; Hui Peng; Genshiro Kitagawa

    Springer Japan 2015; US$ 48.11

    This book presents multivariate time series methods for the analysis and optimal control of feedback systems. Although ships? autopilot systems are considered through the entire book, the methods set forth in this book can be applied to many other complicated, large, or noisy feedback control systems for which it is difficult to derive a model of the... more...

  • Computational Techniques and Applicationsby R. L .May; A. K. Easton

    World Scientific Publishing Company 1996; US$ 118.00 US$ 107.38

    This proceedings contains seven invited papers and 100 contributed papers. The topics covered range from studies of theoretical aspects of computational methods through to simulations of large-scale industrial processes, with an emphasis on the efficient use of computers to solve practical problems. Developers and users of computational techniques... more...