![]() ![]() It guides the reader to become fluent in the structure of Mathematica expressions, expression evaluation, pure and named functions, and in procedural, rule-based, and functional programming constructs. ![]() ![]() The Mathematica Guidebook for Programming provides a comprehensive, step-by-step development of Mathematica programming capabilities and contains an enormous collection of examples and worked exercises. Combined with a user-friendly interface, and a complete mathematical typesetting system, Mathematica offers an intuitive, easy-to-handle environment of great power and utility. It features a rich programming environment, two-and three-dimensional graphics capabilities and hundreds of sophisticated, powerful programming and mathematical functions using state-of-the-art algorithms. In this context, Mathematica can serve as a tool of "experimental programming", especially useful in projects where some non-trivial computations/research have to accompany programming.Mathematica is today’s most advanced technical computing system. The second part are (software) engineers who may consider Mathematica as a tool for a prototype design. The first part of the audience for this book are scientists who would like to understand Mathematica programming better, to take advantage of the possibilities it offers. Expert Mathematica programmers will probably find little new information in the book. Mathematica Programming: An Advanced Introduction, is mostly for people who want to understand Mathematica programming, and particularly those Mathematica users who would like to make a transition from a user to a programmer, or perhaps those who already have some limited Mathematica programming experience but want to improve their command of the system. Introduction | Elementary Operations | Lists | Rules, Patterns and Functions | Functions on Lists and Functional Programming | Writing Efficient Programs: Some Techniques and Applications Mathematica Programming: An Advanced Introduction Finance, Statistics & Business Analysisįor the newest resources, visit Wolfram Repositories and Archives ».Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |