Author | : Heikki Ruskeepaa |

Publisher | : Academic Press |

Release Date | : 2009-06-12 |

ISBN 10 | : 0080920993 |

Pages | : 1136 pages |

Ruskeepaa gives a general introduction to the most recent versions of Mathematica, the symbolic computation software from Wolfram. The book emphasizes graphics, methods of applied mathematics and statistics, and programming. Mathematica Navigator can be used both as a tutorial and as a handbook. While no previous experience with Mathematica is required, most chapters also include advanced material, so that the book will be a valuable resource for both beginners and experienced users. - Covers both Mathematica 6 and Mathematica 7 - The book, fully revised and updated, is based on Mathematica 6 - Comprehensive coverage from basic, introductory information through to more advanced topics - Studies several real data sets and many classical mathematical models

Author | : Heikki Ruskeepaa,Heikki Ruskeepää |

Publisher | : Gulf Professional Publishing |

Release Date | : 2004-02-20 |

ISBN 10 | : 9780126036428 |

Pages | : 844 pages |

Mathematica Navigator gives you a general introduction to Mathematica. The book emphasizes graphics, methods of applied mathematics and statistics, and programming. Mathematica Navigator can be used both as a tutorial and as a handbook. While no previous experience with Mathematica is required, most chapters also include advanced material, so that the book will be a valuable resource for both beginners and experienced users.

Author | : Heikki Ruskeepää |

Publisher | : N.A |

Release Date | : 1999 |

ISBN 10 | : |

Pages | : 848 pages |

Author | : Heikki Ruskeepää |

Publisher | : Gulf Professional Publishing |

Release Date | : 2004 |

ISBN 10 | : 012603642X |

Pages | : 844 pages |

Mathematica Navigator gives you a general introduction to Mathematica. The book emphasizes graphics, methods of applied mathematics and statistics, and programming. Mathematica Navigator can be used both as a tutorial and as a handbook. While no previous experience with Mathematica is required, most chapters also include advanced material, so that the book will be a valuable resource for both beginners and experienced users.

Author | : Rubin H. Landau |

Publisher | : Princeton University Press |

Release Date | : 2011-10-30 |

ISBN 10 | : 1400841178 |

Pages | : 512 pages |

This book offers a new approach to introductory scientific computing. It aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Rubin Landau introduces the requisite mathematics and computer science in the course of realistic problems, from energy use to the building of skyscrapers to projectile motion with drag. He is attentive to how each discipline uses its own language to describe the same concepts and how computations are concrete instances of the abstract. Landau covers the basics of computation, numerical analysis, and programming from a computational science perspective. The first part of the printed book uses the problem-solving environment Maple as its context, with the same material covered on the accompanying CD as both Maple and Mathematica programs; the second part uses the compiled language Java, with equivalent materials in Fortran90 on the CD; and the final part presents an introduction to LaTeX replete with sample files. Providing the essentials of computing, with practical examples, A First Course in Scientific Computing adheres to the principle that science and engineering students learn computation best while sitting in front of a computer, book in hand, in trial-and-error mode. Not only is it an invaluable learning text and an essential reference for students of mathematics, engineering, physics, and other sciences, but it is also a consummate model for future textbooks in computational science and engineering courses. A broad spectrum of computing tools and examples that can be used throughout an academic career Practical computing aimed at solving realistic problems Both symbolic and numerical computations A multidisciplinary approach: science + math + computer science Maple and Java in the book itself; Mathematica, Fortran90, Maple and Java on the accompanying CD in an interactive workbook format

Author | : Stephen Wolfram,Stephen (Wolfram Research Inc. Wolfram, Illinois) |

Publisher | : Cambridge University Press |

Release Date | : 1999-02-28 |

ISBN 10 | : 9780521643146 |

Pages | : 1470 pages |

Indispensable reference manual, from the creator of Mathematica.

Author | : Martha L. L. Abell,James P. Braselton,John Arthur Rafter,John A. Rafter |

Publisher | : Academic Press |

Release Date | : 1999 |

ISBN 10 | : 9780120415540 |

Pages | : 632 pages |

Mathematica's diverse capabilities make it particularly well suited to perform the many calculations encountered in statistics. This book introduces Mathematica for various types of statistical computations. It covers a broad range of topics, and should appeal to both students and professional statisticians. Comprehensive: Covers the use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of Mathematica's built-in statistical commands, as well as those contained in various Mathematica packages; Additionally, the authors have written numerous procedures to extend Mathematica's capabilities Easy to read: Uses "by example" approach authors have used in several other books about Mathematica: works for beginners and experts alike Applied: Examples from diverse disciplines, including biostatistics, business, statistics, econometrics, engineering, and psychology Up-to-date: Compatible with Mathematica Version 3

Author | : Victor Grigor'e Ganzha,Evgenii Vasilev Vorozhtsov |

Publisher | : CRC Press |

Release Date | : 1996-07-12 |

ISBN 10 | : 9780849373794 |

Pages | : 347 pages |

Partial differential equations (PDEs) play an important role in the natural sciences and technology, because they describe the way systems (natural and other) behave. The inherent suitability of PDEs to characterizing the nature, motion, and evolution of systems, has led to their wide-ranging use in numerical models that are developed in order to analyze systems that are not otherwise easily studied. Numerical Solutions for Partial Differential Equations contains all the details necessary for the reader to understand the principles and applications of advanced numerical methods for solving PDEs. In addition, it shows how the modern computer system algebra Mathematica® can be used for the analytic investigation of such numerical properties as stability, approximation, and dispersion.

Author | : Edward B. Magrab |

Publisher | : John Wiley & Sons |

Release Date | : 2014-03-26 |

ISBN 10 | : 1118821254 |

Pages | : 456 pages |

Free Mathematica 10 Update Included! Now available from www.wiley.com/go/magrab Updated material includes: - Creating regions and volumes of arbitrary shape and determining their properties: arc length, area, centroid, and area moment of inertia - Performing integrations, solving equations, and determining the maximum and minimum values over regions of arbitrary shape - Solving numerically a class of linear second order partial differential equations in regions of arbitrary shape using finite elements An Engineer's Guide to Mathematica enables the reader to attain the skills to create Mathematica 9 programs that solve a wide range of engineering problems and that display the results with annotated graphics. This book can be used to learn Mathematica, as a companion to engineering texts, and also as a reference for obtaining numerical and symbolic solutions to a wide range of engineering topics. The material is presented in an engineering context and the creation of interactive graphics is emphasized. The first part of the book introduces Mathematica's syntax and commands useful in solving engineering problems. Tables are used extensively to illustrate families of commands and the effects that different options have on their output. From these tables, one can easily determine which options will satisfy one's current needs. The order of the material is introduced so that the engineering applicability of the examples increases as one progresses through the chapters. The second part of the book obtains solutions to representative classes of problems in a wide range of engineering specialties. Here, the majority of the solutions are presented as interactive graphics so that the results can be explored parametrically. Key features: Material is based on Mathematica 9 Presents over 85 examples on a wide range of engineering topics, including vibrations, controls, fluids, heat transfer, structures, statistics, engineering mathematics, and optimization Each chapter contains a summary table of the Mathematica commands used for ease of reference Includes a table of applications summarizing all of the engineering examples presented. Accompanied by a website containing Mathematica notebooks of all the numbered examples An Engineer's Guide to Mathematica is a must-have reference for practitioners, and graduate and undergraduate students who want to learn how to solve engineering problems with Mathematica.

Author | : Arthur James Wells |

Publisher | : N.A |

Release Date | : 2009 |

ISBN 10 | : |

Pages | : 329 pages |

Author | : Sal Mangano |

Publisher | : "O'Reilly Media, Inc." |

Release Date | : 2010-04-02 |

ISBN 10 | : 1449390765 |

Pages | : 830 pages |

Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music. Although Mathematica 7 is a highly advanced computational platform, the recipes in this book make it accessible to everyone -- whether you're working on high school algebra, simple graphs, PhD-level computation, financial analysis, or advanced engineering models. Learn how to use Mathematica at a higher level with functional programming and pattern matching Delve into the rich library of functions for string and structured text manipulation Learn how to apply the tools to physics and engineering problems Draw on Mathematica's access to physics, chemistry, and biology data Get techniques for solving equations in computational finance Learn how to use Mathematica for sophisticated image processing Process music and audio as musical notes, analog waveforms, or digital sound samples

Author | : Colin Rose,Murray D. Smith |

Publisher | : Springer |

Release Date | : 2002 |

ISBN 10 | : 9780387952345 |

Pages | : 481 pages |

This book and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers users to easily solve difficult problems and tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, and unbiased estimation. An ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics and the social sciences. The package includes 2 cross-platform CDs containing mathStatica: the Application Pack for mathematical statistics, an interactive version of the book, and a trial version of Mathematica 4.1.