An Introduction to Programming with Mathematica®
An Introduction to Programming with Mathematica®

Author: Richard J. Gaylord

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 467

ISBN-13: 1461223229

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Accompanying the book, as with all TELOS sponsored publications, is an electronic component. In this case it is a DOS-Diskette produced by one of the coauthors, Paul Wellin. This diskette consists of Mathematica notebooks and packages which contain the codes for all examples and exercises in the book, as well as additional materials intended to extend many ideas covered in the text. It is of great value to teachers, students, and others using this book to learn how to effectively program with Mathematica .

Programming with Mathematica®
Programming with Mathematica®

Author: Paul Wellin

Publisher: Cambridge University Press

Published: 2013-01-10

Total Pages: 731

ISBN-13: 1107009464

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This practical, example-driven introduction teaches the foundations of the Mathematica language so it can be applied to solving concrete problems.

An Elementary Introduction to the Wolfram Language
An Elementary Introduction to the Wolfram Language

Author: Stephen Wolfram

Publisher: Wolfram Research, Incorporated

Published: 2017

Total Pages: 0

ISBN-13: 9781944183059

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The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone. Unique in its approach of building in vast knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. This book provides an elementary introduction to the Wolfram Language and modern computational thinking. It assumes no prior knowledge of programming, and is suitable for both technical and non-technical college and high-school students, as well as anyone with an interest in the latest technology and its practical application.

Hands-on Start to Wolfram Mathematica
Hands-on Start to Wolfram Mathematica

Author: Cliff Hastings

Publisher:

Published: 2016

Total Pages: 0

ISBN-13: 9781579550127

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For more than 25 years, Mathematica has been the principal computation environment for millions of innovators, educators, students, and others around the world. This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica with a focus on ease of use. Readers get detailed instruction with examples for interactive learning and end-of-chapter exercises. Each chapter also contains authors' tips from their combined 50+ years of Mathematica use.

The Student's Introduction to MATHEMATICA ®
The Student's Introduction to MATHEMATICA ®

Author: Bruce F. Torrence

Publisher: Cambridge University Press

Published: 2009-01-29

Total Pages: 484

ISBN-13: 1139473735

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The unique feature of this compact student's introduction is that it presents concepts in an order that closely follows a standard mathematics curriculum, rather than structure the book along features of the software. As a result, the book provides a brief introduction to those aspects of the Mathematica software program most useful to students. The second edition of this well loved book is completely rewritten for Mathematica 6 including coverage of the new dynamic interface elements, several hundred exercises and a new chapter on programming. This book can be used in a variety of courses, from precalculus to linear algebra. Used as a supplementary text it will aid in bridging the gap between the mathematics in the course and Mathematica. In addition to its course use, this book will serve as an excellent tutorial for those wishing to learn Mathematica and brush up on their mathematics at the same time.

The Mathematica GuideBook for Programming
The Mathematica GuideBook for Programming

Author: Michael Trott

Publisher: Springer

Published: 2013-12-21

Total Pages: 1060

ISBN-13: 1441985034

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This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge of the key aspects needed to create the fastest, shortest, and most elegant implementations possible. It gives users a deeper understanding of Mathematica by instructive implementations, explanations, and examples from a range of disciplines at varying levels of complexity. The three volumes -- Programming, Graphics, and Mathematics, total 3,000 pages and contain more than 15,000 Mathematica inputs, over 1,500 graphics, 4,000+ references, and more than 500 exercises. This first volume begins with the structure of Mathematica expressions, the syntax of Mathematica, its programming, graphic, numeric and symbolic capabilities. It then covers the hierarchical construction of objects out of symbolic expressions, the definition of functions, the recognition of patterns and their efficient application, program flows and program structuring, and the manipulation of lists. An indispensible resource for students, researchers and professionals in mathematics, the sciences, and engineering.

Introduction to Mathematica® for Physicists
Introduction to Mathematica® for Physicists

Author: Andrey Grozin

Publisher: Springer Science & Business Media

Published: 2013-08-26

Total Pages: 215

ISBN-13: 3319008943

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The basics of computer algebra and the language of Mathematica are described in this textbook, leading towards 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 and graphics. It is used in physics and other branches of science, in mathematics, education and many other areas.

Introduction to Mathematica® with Applications
Introduction to Mathematica® with Applications

Author: Marian Mureşan

Publisher: Springer

Published: 2017-02-21

Total Pages: 274

ISBN-13: 3319520032

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Starting with an introduction to the numerous features of Mathematica®, this book continues with more complex material. It provides the reader with lots of examples and illustrations of how the benefits of Mathematica® can be used. Composed of eleven chapters, it includes the following: A chapter on several sorting algorithms Functions (planar and solid) with many interesting examples Ordinary differential equations Advantages of Mathematica® dealing with the Pi number The power of Mathematica® working with optimal control problems Introduction to Mathematica® with Applications will appeal to researchers, professors and students requiring a computational tool.

The Student's Introduction to Mathematica and the Wolfram Language
The Student's Introduction to Mathematica and the Wolfram Language

Author: Bruce F. Torrence

Publisher: Cambridge University Press

Published: 2019-05-16

Total Pages: 550

ISBN-13: 110831404X

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The unique feature of this compact student's introduction to Mathematica® and the Wolfram LanguageTM is that the order of the material closely follows a standard mathematics curriculum. As a result, it provides a brief introduction to those aspects of the Mathematica® software program most useful to students. Used as a supplementary text, it will help bridge the gap between Mathematica® and the mathematics in the course, and will serve as an excellent tutorial for former students. There have been significant changes to Mathematica® since the second edition, and all chapters have now been updated to account for new features in the software, including natural language queries and the vast stores of real-world data that are now integrated through the cloud. This third edition also includes many new exercises and a chapter on 3D printing that showcases the new computational geometry capabilities that will equip readers to print in 3D.

Introduction to Machine Learning
Introduction to Machine Learning

Author: Shan-e-Fatima

Publisher: Blue Rose Publishers

Published: 2023-09-25

Total Pages: 189

ISBN-13:

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With the use of machine learning (ML), which is a form of artificial intelligence (AI), software programmers may predict outcomes more accurately without having to be explicitly instructed to do so. In order to forecast new output values, machine learning algorithms use historical data as input. Machine learning is frequently used in recommendation engines. Business process automation (BPA), predictive maintenance, spam filtering, malware threat detection, and fraud detection are a few additional common uses. Machine learning is significant because it aids in the development of new goods and provides businesses with a picture of trends in consumer behavior and operational business patterns. For many businesses, machine learning has emerged as a key competitive differentiation. The fundamental methods of machine learning are covered in the current book.