An Introduction to Programming with Mathematica® pdf epub mobi txt 電子書下載 2024

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Paul R. Wellin

Cambridge University Press

2005-1-31

570

USD 96.00

Hardcover

9780521846783

圖書標籤: mathematica 編程 programming 數學計算機科學 Mathematica 計算機好東西

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发表于2024-11-26

An Introduction to Programming with Mathematica® epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

An Introduction to Programming with Mathematica® pdf epub mobi txt 電子書下載 2024

圖書描述

An Introduction to Programming with Mathematica® is designed to introduce the Mathematica programming language to a wide audience. Since the last edition of this book was published, significant changes have occurred in Mathematica and its use worldwide. Keeping pace with these changes, this substantially larger, updated version includes new and revised chapters on numerics, procedural, rule-based, and front-end programming, and gives significant coverage to the latest features up to, and including, Mathematica 5.1 Mathematica notebooks, available from www.cambridge.org/0521846781, contain examples, programs, and solutions to exercises in the book. Additionally, material to supplement later versions of the software will be made available. This is the ideal text for all scientific students, researchers, and programmers wishing to deepen their understanding of Mathematica, or even those keen to program using an interactive language that contains programming paradigms from all major programming languages: procedural, functional, recursive, rule-based, and object-oriented.

An Introduction to Programming with Mathematica® 下載 mobi epub pdf txt 電子書

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圖書目錄

An Introduction to Programming with Mathematica® pdf epub mobi txt 電子書下載

想要找書就要到小哈圖書下載中心

qciss.net

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

用戶評價

評分☆☆☆☆☆

讀瞭那本 mathematica 全書後，又迴頭掃瞭掃這本書。總體上講這本書的內容是包含在 mathematica 全書中的，隻是展現方式更加友好一些。我理解中， mathematica 語言設計的幾個核心：1. 統一的類 s-exp 的底層數據結構錶示; 2. symbolic computation; 3. pattern matching; 4. rule-based tranformation; 5. lots of functional programming ideas. 6. literate programming, use notebook as an uniform interface. 另，最近感覺掌握一門知識最好的辦法似乎就是直接去啃最經典最難的書，捷徑是不存在的。

評分☆☆☆☆☆

值得細讀

評分☆☆☆☆☆

值得細讀

評分☆☆☆☆☆

不過最好的“教材”還是Mathematica的documentation，看完這本書你會大概知道Mathematica有多nb~

評分☆☆☆☆☆

不過最好的“教材”還是Mathematica的documentation，看完這本書你會大概知道Mathematica有多nb~