23 edition of **Computer science with Mathematica** found in the catalog.

- 393 Want to read
- 27 Currently reading

Published
**2000** by Cambridge University Press in Cambridge, U.K, New York .

Written in English

- Mathematica (Computer file),
- Mathematics -- Data processing,
- Mathematica (Computer programming language)

**Edition Notes**

Includes bibliographical references (p. 345-349) and index.

Statement | Roman E. Maeder. |

Classifications | |
---|---|

LC Classifications | QA76.95 .M34 2000 |

The Physical Object | |

Pagination | xx, 389 p. : |

Number of Pages | 389 |

ID Numbers | |

Open Library | OL44053M |

ISBN 10 | 0521631726, 0521663954 |

LC Control Number | 99038932 |

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Besides treating traditional computer science topics, he demonstrates how scientists and engineers can use these computer-based tools to do scientific computations. A valuable text for computer science courses for scientists and engineers, this book will also prove useful to Mathematica users at all by: 6.

Besides treating traditional computer science topics, he demonstrates how scientists and engineers can use these computer-based tools to do scientific computations. A valuable text for computer science courses for scientists and engineers, this book will also prove useful to Mathematica users at all : $ This is a great maths book for first year Computer Science undergraduates.

It assembles in a single text most of the basic mathematical tools required in the study of Computer Science, ranging from sets and relations, to combinatorics and probabilities, to trees and logic. This book demonstrates that Mathematica is a powerful tool in the study of algorithms, allowing the behavior of each algorithm to be studied separately.

Examples from mathematics, all types of science, and engineering are included, as well as computer science topics. This book is also useful for Mathematica users at all levels.

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The aim Computer science with Mathematica book this book is to present some the basic mathematics that is needed by computer scientists. The reader is not expected to be a mathematician and we hope will find what follows useful.

Just a word of warning. Unless you are one of the irritating minority mathematics is hard. You cannot just read a mathematics book like a novel/5(). The Relationship between Mathematics and Computer Science.

Mathematics is abstract in nature. Most concepts of maths are taught through abstract language. On the other hand, one of the things that are covered in computer science is the study of programming languages.

Most of these languages are also abstract in nature. Large Computer science with Mathematica book of Mathematica and Wolfram Language-based books and references written by leading experts. Search by topic or language.

Wolfram Science Technology-enabling science of the computational universe. Computer Science. In the interest of completeness, Wellin's An Introduction to Programming in Mathematica is also worth mentioning here (nice section on front-end programming and provides example of a complete DSL implementation in Mma) in addition to Maeder's Computer Science with Mathematica (especially helpful for those trying to use Mma in a OOP style.

Computer science is the study of computation and information. Computer science deals with theory of computation, algorithms, computational problems and the design of computer systems hardware, software and applications.

Computer science addresses both human-made and natural information processes, such as communication, control, perception, learning and intelligence especially in human. The main purpose of the book is to acquaint advanced undergraduate and graduate students in computer science, engineering and mathematics with the algorithmic ideas in computer algebra so that they could do research in computational algebra.

( views) An Architecture for Combinator Graph Reduction by Philip J. Koopman, Jr. - Academic Press. Mathematics The goal of computational mathematics, put simply, is to ﬁnd or develop algo-rithms that solve mathematical problems computationally (ie.

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This book is for Computer Science and Engineering undergraduate students which is simple to comprehend and is especially written in the format these students would enjoy reading and benefit from learning the foundation concepts of Software Engineering.

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About the Author Paul Wellin worked for Wolfram Research from the mids through directing the Mathematica® training efforts with the Wolfram Education Group/5(14). This text for the first or second year undergraduate in mathematics, logic, computer science, or social sciences, introduces the reader to logic, proofs, sets, and number theory.

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Understanding the underlying theory of machine learning (computational learning theory). By analogy, in Mathematics, we believe a scientist, engineer or mathematician must be able to read and understand mathematical codes (e.g., Maple, Mathematica) in their head without having to execute the problem.” ― Inna K.

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