Articles by "Maple"

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Showing posts with label Maple. Show all posts

August 28, 2017 , , , , ,
George A. Anastassiou, Iuliana F. Iatan ... 582 pages - Publisher: Springer; (July, 2012) ... Language: English - ISBN-10: 3642284744 - ISBN-13: 978-3642284748 ... 

Real Analysis is a discipline of intensive study in many institutions of higher education, because it contains useful concepts and fundamental results in the study of mathematics and physics, of the technical disciplines and geometry. This book is the first one of its kind that solves mathematical analysis problems with all four related main software Matlab, Mathcad, Mathematica and Maple. Besides the fundamental theoretical notions, the book contains many exercises, solved both mathematically and by computer, using: Matlab 7.9, Mathcad 14, Mathematica 8 or Maple 15 programming languages. The book is divided into nine chapters, which illustrate the application of the mathematical concepts using the computer. Each chapter presents the fundamental concepts and the elements required to solve the problems contained in that chapter and finishes with some problems left to be solved by the readers. The calculations can be verified by using a specific software such as Matlab, Mathcad, Mathematica or Maple.

August 10, 2017 , ,
Andre Heck ... 828 pages - Publisher: Springer; 3rd edition (April, 2003) ... Language: English - ISBN-10: 0387002308 - ISBN-13: 978-0387002309 ...

The fully revised edition of this best-selling title presents the modern computer algebra system Maple. It teaches the reader not only what can be done by Maple but also how and why it can be done. It provides the necessary background for those who want the most of Maple or want to extend its built-in knowledge, and it includes both elementary and more sophisticated examples as well as many exercises.

August 09, 2017 , , ,
Walter Gander, Martin J. Gander, Felix Kwok ... 905 pages - Publisher: Springer; (April, 2014) ... Language: English - ISBN-10: 3319043242 - ISBN-13: 978-3319043241 ...

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, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.

August 08, 2017 , ,
Pamela W. Adams, K. Smith, Rudolf Vyborny ... 544 pages - Publisher: Wspc; (June, 2004) - Language: English - ISBN-10: 9812560092 - ISBN-13: 978-9812560094 ...

The principal aim of this book is to introduce university level mathematics - both algebra and calculus. The text is suitable for first and second year students. It treats the material in depth, and thus can also be of interest to beginning graduate students. New concepts are motivated before being introduced through rigorous definitions. All theorems are proved and great care is taken over the logical structure of the material presented. To facilitate understanding, a large number of diagrams are included. Most of the material is presented in the traditional way, but an innovative approach is taken with emphasis on the use of Maple and in presenting a modern theory of integration. To help readers with their own use of this software, a list of Maple commands employed in the book is provided. The book advocates the use of computers in mathematics in general, and in pure mathematics in particular. It makes the point that results need not be correct just because they come from the computer. A careful and critical approach to using computer algebra systems persists throughout the text.

August 08, 2017 , ,
Jonathan M. Borwein, Matthew P. Skerritt ... 216 pages - Publisher: Springer; (July, 2011) ... Language: English - ISBN-10: 1461401216 - ISBN-13: 978-1461401216 ...

Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three “M’s” Maple, Mathematica and Matlab. We intend to persuade that Maple and other like tools are worth knowing assuming only that one wishes to be a mathematician, a mathematics educator, a computer scientist, an engineer or scientist, or anyone else who wishes/needs to use mathematics better. We also hope to explain how to become an `experimental mathematician' while learning to be better at proving things. To accomplish this our material is divided into three main chapters followed by a postscript. These cover elementary number theory, calculus of one and several variables, introductory linear algebra, and visualization and interactive geometric computation.

August 04, 2017 , , ,
Jiří Gregor, Jaroslav Tišer ... 247 pages - Publisher: Springer; (December, 2010) ... Language: English - ISBN-10: 0857290541 - ISBN-13: 978-0857290540 ...

The book contains chapters of structured approach to problem solving in mathematical analysis on an intermediate level. It follows the ideas of G.Polya and others, distinguishing between exercises and problem solving in mathematics. Interrelated concepts are connected by hyperlinks, pointing toward easier or more difficult problems so as to show paths of mathematical reasoning. Basic definitions and theorems can also be found by hyperlinks from relevant places. Problems are open to alternative formulations, generalizations, simplifications, and verification of hypotheses by the reader; this is shown to be helpful in solving problems. The book presents how advanced mathematical software can aid all stages of mathematical reasoning while the mathematical content remains in foreground. The authors show how software can contribute to deeper understanding and to enlarging the scope of teaching for students and teachers of mathematics. Discovering Mathematics: A Problem-Solving Approach to Analysis with Mathematica and Maple provides a constructive approach to mathematical discovery through innovative use of software technology. Interactive Mathematica and Maple notebooks are integral to this books’ utility as a practical tool for learning. Interrelated concepts, definitions and theorems are connected through hyperlinks, guiding the reader to a variety of structured problems and highlighting multiple avenues of mathematical reasoning. Interactivity is further enhanced through the delivery of online content (available at, demonstrating the use of software and in turn increasing the scope of learning for both students and teachers and contributing to a deeper mathematical understanding. This book will appeal to both final year undergraduate and post-graduate students wishing to supplement a mathematics course or module in mathematical problem-solving and analysis. It will also be of use as complementary reading for students of engineering or science, and those in self-study.

July 24, 2017 , , , ,
Inna K. Shingareva, Carlos Lizárraga-Celaya ... 484 pages - Publisher: Springer; 2nd edition (August, 2009) ...  Language: English - ASIN: B00FBVFPTE by Amazon Digital Services ...

The first book to compare the main two computer algebra systems (CAS), Maple and Mathematica used by students, mathematicians, scientists, and engineers. Both systems are presented in parallel so that Mathematica users can learn Maple quickly by finding the Maple equivalent to Mathematica functions, and vice versa. This student reference handbook consists of core material for incorporating Maple and Mathematica as a working tool into different undergraduate mathematical courses (abstract and linear algebra, geometry, calculus and analysis, complex functions, special functions, integral and discrete transforms, algebraic and transcendental equations, ordinary and partial differential equations, integral equations, numerical analysis and scientific computing). The book also contains applications from various areas of mathematics, physics, and music theory and can be useful for graduate students, professors, and researchers in science and engineering. One of the goals of this book is to develop problem-solving skills (that are most useful for solving sophisticated research problems) finding solutions with Maple and Mathematica and not to depend on a specific version of both systems (Maple 12 and Mathematica 6 and 7 are considered). Part I, describes the foundations of Maple and Mathematica (with equivalent problems and solutions). Part II, describes Mathematics with Maple and Mathematica by using equivalent problems. Finally, this book is ideal for scientists who want to corroborate their Maple and Mathematica work with independent verification provided by another CAS.

July 22, 2017 , , ,
Ian Thompson ... 235 pages - Publisher: Cambridge Univ. Press; 1st edition (November, 2016) ... Language: English - ISBN-10: 1316628140 - ISBN-13: 978-1316628140 ...

Maple is a powerful symbolic computation system that is widely used in universities around the world. This short introduction gives readers an insight into the rules that control how the system works, and how to understand, fix, and avoid common problems. Topics covered include algebra, calculus, linear algebra, graphics, programming, and procedures. Each chapter contains numerous illustrative examples, using mathematics that does not extend beyond first-year undergraduate material. Maple worksheets containing these examples are available for download from the author's personal website. The book is suitable for new users, but where advanced topics are central to understanding Maple they are tackled head-on. Many concepts which are absent from introductory books and manuals are described in detail. With this book, students, teachers and researchers will gain a solid understanding of Maple and how to use it to solve complex mathematical problems in a simple and efficient way.

July 22, 2017 , , , ,
Douglas B. Meade, S. J. M. May, C-K. Cheung, G. E. Keough ... 220 pages - Publisher: Wiley; 3rd edition (March, 2009) ... Language: English - ISBN-10: 0470455543 - ISBN-13: 978-0470455548 ...

The purpose of this guide is to give a quick introduction on how to use Maple. It primarily covers Maple 12, although most of the guide will work with earlier versions of Maple. Also, throughout this guide, we will be suggesting tips and diagnosing common problems that users are likely to encounter. This should make the learning process smoother. This guide is designed as a self-study tutorial to learn Maple. Our emphasis is on getting you quickly up to speed. This guide can also be used as a supplement (or reference) for students taking a mathematics (or science) course that requires use of Maple, such as Calculus, Multivariable Calculus, Advanced Calculus, Linear Algebra, Discrete Mathematics, Modeling, or Statistics.

Maple v2017.0: The Essential Tool for Mathematics [Size: 1.176 GB for x64] ... Maple is math software that combines the world's most powerful math engine with an interface that makes it extremely easy to analyze, explore, visualize, and solve mathematical problem. Features: Solve math problems easily and accurately, without worrying that you've lost a minus sign somewhere. * Solve math problems quickly that you could never do by hand (or that you wouldn't want to do by hand because life is too short!) * Solve problems from virtually any branch of mathematics or field that relies on mathematics, such as calculus, algebra, differential equations, statistics, control design, linear algebra, physics, optimization, group theory, differential geometry, signal processing, special functions, number theory, financial modeling, etc. etc. * Gain insight into your problem, solution, data, or concept using a huge variety of customizable 2-D and 3-D plots and animations * Keep problems, solutions, visualizations, and explanations all together in a single, easy-to-follow document, so you don't have to waste time reconstructing your thought processes * Develop complex solutions using a sophisticated programming language designed for mathematics, so your code is shorter, easier to write, easier to debug, and easier to maintain * Create interactive applications for yourself, your students, or your colleagues, without having to be an expert programmer, and share them over the web.

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