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Mathematical & Statistical Software

Most popular at the top

  • Information Theoretic Learningby Jose C. Principe

    Springer 2010; US$ 149.00

    This book presents the first cohesive treatment of Information Theoretic Learning (ITL) algorithms to adapt linear or nonlinear learning machines both in supervised or unsupervised paradigms. ITL is a framework where the conventional concepts of second order statistics (covariance, L2 distances, correlation functions) are substituted by scalars and... more...

  • Applied Predictive Modelingby Max Kuhn; Kjell Johnson

    Springer 2013; US$ 89.95

    This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise.... more...

  • Nominal Setsby Andrew M. Pitts

    Cambridge University Press 2013; US$ 80.00

    The first detailed account of the basic theory and applications of nominal sets. more...

  • Fundamentals of Matrix-Analytic Methodsby Qi-Ming He

    Springer 2013; US$ 79.99

    Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions. New materials and techniques are presented for the... more...

  • Introduction to Mathematica® for Physicistsby Andrey Grozin

    Springer 2013; US$ 69.99

    The basics of computer algebra and the language of Mathematica are described. This title will lead toward an understanding of Mathematica that allows the reader to solve problems in physics, mathematics, and chemistry. Mathematica is the most widely used system for doing mathematical calculations by computer, including symbolic and numeric calculations... more...

  • Effective Mathematics of the Uncountableby Noam Greenberg; Denis Hirschfeldt; Joel David Hamkins; Russell Miller

    Cambridge University Press 2013; US$ 68.00

    A comprehensive introduction to eight major approaches to computation on uncountable mathematical domains. more...

  • Introduction to R for Quantitative Financeby Agnes Vidovics-Dancs; Daniel Havran; Edina Berlinger; Gergely Darˇczi

    Packt Publishing 2013; US$ 23.99

    This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With... more...

  • Introduction to Lattices and Orderby B. A. Davey; H. A. Priestley

    Cambridge University Press 2002; US$ 52.00

    New edition of successful and unique textbook for students in mathematics or theoretical computer science. more...

  • Python for Financeby Yuxing Yan

    Packt Publishing 2014; US$ 26.99

    Python is a free and powerful tool which can be used to build a financial calculator and price options, and can also explain many trading strategies and test various hypotheses. In addition to that, real-world data can be used to run CAPM (Capital Asset Pricing Model), the Fama-French 3-factor model, estimate VaR (Value at Risk), and estimate spread,... more...

  • Gröbner Basesby Takayuki Hibi

    Springer 2014; US$ 129.00

    The idea of the Gr÷bner basis first appeared in a 1927 paper by F. S. Macaulay, who succeeded in creating a combinatorial characterization of the Hilbert functions of homogeneous ideals of the polynomial ring. Later, the modern definition of the Gr÷bner basis was independently introduced by Heisuke Hironaka in 1964 and Bruno Buchberger in 1965. However,... more...