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- The perfect tool for learning maple programming.
- An easiest way to master Maple.
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Maple V Programming Guide (Version A): Release 5
Keith O. Geddes ,
K. M. Heal ,
G. Labaln ,
S. M. Vorkoetter ,
John S. Devitt ,
M. L. Hansen ,
D. Redfern , and
K. M. Rickard
Manufacturer: Springer-Verlag
ProductGroup: Book
Binding: Paperback
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ASIN: 0387983988 |
Book Description
Maple V Mathematics Programming Guide is the fully updated language and programming reference for Maple V Release 5. It presents a detailed description of Maple V Release 5 - the latest release of the powerful, interactive computer algebra system used worldwide as a tool for problem-solving in mathematics, the sciences, engineering, and education. This manual describes the use of both numeric and symbolic expressions, the data types available, and the programming language statements in Maple. It shows how the system can be extended or customized through user defined routines and gives complete descriptions of the system's user interface and 2D and 3D graphics capabilities.
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The perfect tool for learning maple programming........2007-05-13
I highly recommend this book for all those students who wishes to learn maple programming. The material is very well presented and organized and it has plenty of examples and exercises.
An easiest way to master Maple........2003-01-29
Maple is a powerful analytical calculation software which is one of the most popular among scientists and engineers. This book explains all important Maple programming techniques in the most lucid, dedactic, and at the same time concise manner with carefully chosen example codes. This book also covers some techniques which readers are assumed to know already and are omitted in other similar Maple texts. This book benefits both beginner and experts of Maple programming. This is the easiest way to master Maple.
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- Statistics and Data Analysis Review
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Statistics and Data Analysis: From Elementary to Intermediate
Ajit C. Tamhane , and
Dorothy D. Dunlop
Manufacturer: Prentice Hall
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ASIN: 0137444265 |
Book Description
Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis, the book focuses on interpretation of results rather than their computation. Review of probability, collecting data, summarizing and exploring data, sampling distributions of statistics, basic concepts of inference, linear regression and correlation, analysis of single factor and multifactor Experiments.
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Statistics and Data Analysis Review.......2000-04-08
This book was the assigned text for a graduate level statistics course I took. It is well written with examples for every technique discussed and lots of exercises at the end of each chapter. I highly recommend it.
Book Description
With examples of all 450 functions in action plus tutorial text on the mathematics, this book is the definitive guide to Experimenting with Combinatorica, a widely used software package for teaching and research in discrete mathematics. Three interesting classes of exercises are provided--theorem/proof, programming exercises, and experimental explorations--ensuring great flexibility in teaching and learning the material. The Combinatorica user community ranges from students to engineers, researchers in mathematics, computer science, physics, economics, and the humanities. Recipient of the EDUCOM Higher Education Software Award, Combinatorica is included with every copy of the popular computer algebra system Mathematica.
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Genetic Data Analysis II: Methods for Discrete Population Genetic Data
Bruce S. Weir
Manufacturer: Sinauer Associates
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ASIN: 0878939024 |
Book Description
Genetic Data Analysis, first published in 1990, became the standard reference for ways to interpret discrete population genetic data. Genetic Data Analysis II retains the strengths of the original book and, based upon the suggestions of users, includes many new features, notably the revision of Chapter 10 (Phylogeny Reconstruction) to incorporate newer methods, and new chapters on Linkage and Individual Identification.
Genetic Data Analysis II features an expanded set of Exercises, with solutions, and an expanded list of references. In addition, a suite of Windows-based programs written by Paul O. Lewis and Dmitri Zaykin is available without charge from the Web site maintained by the program in Statistical Genetics at North Carolina State University.
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The Statistical Analysis of Discrete Data (Springer Texts in Statistics)
Thomas J. Santner , and
Diane E. Duffy
Manufacturer: Springer
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Binding: Hardcover
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ASIN: 0387970185 |
Book Description
The Statistical Analysis of Discrete Data provides an up-to-date introduction to methods for analyzing discrete data. The text covers both single-sample problems and problems with structured means which can be studied via loglinear and logistic models. Standard estimation and testing formulations are joined by formulations in terms of multiple comparisons, simultaneous interval construction, and ranking and selection. Where possible, connections with linear model theory for continuous responses are exploited to emphasize the relationships between the two areas. Recent research in areas such as graphical models for contingency tabels, Bayes and related estimation for loglinear models, and diagnostics for logistic regression is presented. Problems at the end of each chapter provide opportunities to both try out methods in the text on data from a wide variety of fields and to explore extensions of the material covered. The book is intended as a textbook for researchers both in- and outside of the statistics field who encounter discrete data.
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An Introduction to Numerical Methods: A MATLAB Approach
Abdelwahab Kharab , and
Ronald B. Guenther
Manufacturer: Chapman & Hall/CRC
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ASIN: 1584885572 |
Book Description
Numerical methods are a mainstay of researchers and professionals across the many mathematics, scientific, and engineering disciplines. The importance of these methods combined with the power and availability of today's computers virtually demand that students in these fields be well versed not only in the numerical techniques, but also in the use of a modern computational software package. Updated to reflect the latest version of MATLAB, the second edition of An Introduction to Numerical Methods continues to fulfill both these needs. It introduces the theory and applications of the most commonly used techniques for solving numerical problems on a computer. It covers a wide range of useful algorithms, each presented with full details so that readers can visualize and interpret each step. Highlights of the second edition: · A new chapter on numerical optimization · New sections on finite elements · More exercises and applied problems in each chapter · MATLAB incorporated as an integral part of the text Emphasis on understanding how the methods work, a simple, direct style, and thorough coverage make this book an outstanding initiation that allows students to see almost immediate results. It will boost their confidence in their ability to master the subject and give them valuable experience in the use of MATLAB.
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Finite Elements Using Maple: A Symbolic Programming Approach (Engineering Online Library)
A. Portela
Manufacturer: SPRINGER-VERLAG
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Binding: Hardcover
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ASIN: 3540429867 |
Book Description
This book is an essential tool written to be used as the primary text for an undergraduate or early postgraduate course as well as a reference book for engineers and scientists who want to quickly develop finite-element programs. Regarding the formulation of the finite element method, the book emphasizes the essential unity of all processes of approximation used in the solution of differential equations such as finite differences, finite elements and boundary elements. Computational aspects are presented in Maple. Three Maple packages were specially developed for this book and are included in a companion CD-ROM.
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Comparative Genomics: RECOMB 2004 International Workshop, RCG 2004, Bertinoro, Italy, October 16-19, 2004, Revised Selected Papers (Lecture Notes in Computer Science)
Manufacturer: Springer
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Binding: Paperback
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ASIN: 3540244557 |
Book Description
This book constitutes the thoroughly refereed post-proceedings of the RECOMB 2004 Satellite Workshop on Comparative Genomics, RCG 2004, held in Bertinoro, Italy in October 2004.
The 10 revised full papers presented were carefully reviewed and improved for inclusion in the book. The papers address a broad variety of aspects of comparative genomics ranging from new quantitative discoveries about genome structures and processes to theorems on the complexity of computational problems inspired by genome comparison.
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Computer-Supported Calculus
A. Ben-Isreal
Manufacturer: SPRINGER-VERLAG
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ASIN: 3211829245 |
Book Description
Das Symbolische Rechnen zur Lösung mathematischer Probleme erlebt einen neuen Aufschwung durch den Einsatz speziell dafür entwickelter Softwaresysteme. Nach dem Erfolg von Mathematica und Maple erobert nun MACSYMA den Markt. MACSYMA wurde seit den späten 60er Jahren am MIT entwickelt und über die Jahre hin verbessert und weiterentwickelt. Es bietet die umfassendste Algorithmen-Bibliothek, die ein schnelles Lösen der Aufgaben, besonders im Gebiet der Differential- und Integralrechnung, ermöglicht. Die Autoren geben in diesem Lehrbuch eine grundlegende Einführung in das Symbolische Rechnen mit MACSYMA. Dem Band 2 liegt eine Diskette mit Aufgaben und Lösungen bei, die Lösungen werden in allen 3 gängigen Softwaresystemen Mathematica, Maple und MACSYMA dargestellt.
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