中文名: Mathematica 导航
原名: Mathematica Navigator: Mathematics, Statistics and Graphics
作者: Heikki Ruskeepaa
图书分类: 教育/科技
资源格式: PDF
版本: 英文第3版
出版社: Academic Press
书号: 0123741645
发行时间: 2009年
地区: 美国
语言: 英文
简介:
Mathematica Navigator: Mathematics, Statistics and Graphics
文字版
Product Details
* Paperback: 1136 pages
* Publisher: Academic Press; 3 edition (March 20, 2009)
* Language: English
* ISBN-10: 0123741645
* ISBN-13: 978-0123741646
* Product Dimensions: 9.2 x 7.5 x 1.7 inches
内容介绍：
The goals of this book, the third edition of Mathematica Navigator: Mathematics, Statistics, Graphics, and
Programming, are as follows:
•to introduce the reader to Mathematica; and
•to emphasize mathematics (especially methods of applied mathematics), statistics, graphics,
programming, and writing mathematical documents.
Accordingly, we navigate the reader through Mathematica and give an overall introduction. Often we
slow down somewhat when an important or interesting topic of mathematics or statistics is encountered
to investigate it in more detail. We then often use both graphics and symbolic and numerical methods.
Here and there we write small programs to make the use of some procedures easier. One chapter is
devoted to Mathematica as an advanced environment of writing mathematical documents.
The online version of the book, which can be installed from the enclosed CD-ROM, makes the
material easily available when working with Mathematica.
Changes in this third edition are numerous and are explained later in the Preface. The current edition
is based on Mathematica 6. On the CD-ROM, there is material that describes the new properties of
Mathematica 7.
‡ Readership
The book may be useful in the following situations:
•for courses teaching Mathematica;
•for several mathematical and statistical courses (given in, for example, mathematics, engineering,
physics, and statistics); and
•for self-study.
Indeed, the book may serve as a tutorial and as a reference or handbook of Mathematica, and it may
also be useful as a companion in many mathematical and statistical courses, including the following:
differential and integral calculus • linear algebra • optimization • differential, partial differential,
and difference equations • engineering mathematics • mathematical methods of physics •
mathematical modeling • numerical methods • probability • stochastic processes • statistics •
regression analysis • Bayesian statistics
No previous knowledge of Mathematica is assumed. On the other hand, we assume some knowledge of
various topics in pure and applied mathematics. We study, for example, partial differential equations
and statistics without giving detailed introductions to these topics. If you are not acquainted with a
topic, you can simply skip the chapter or section of the book considering that topic.
Also, to understand the numerical algorithms, it is useful if the reader has some knowledge about the
simplest numerical methods. Often we introduce briefly the basic ideas of a method (or they may
become clear from the examples or other material presented), but usually we do not derive the methods.
If a topic is unfamiliar to you, consult a textbook about numerical analysis, such asSkeel and Keiper
(2001).
‡ Recommendations
If you are a newcomer to Mathematica, then Chapter 1,Starting, is mandatory, and Chapter 2,Sightsee-
ing, is strongly recommended. You can also browse Chapter 3, Notebooks, and perhaps also Chapter 4,
Files, so that you know where to go when you encounter the topics of these chapters. After that you can
proceed more freely. However, read Section 13.1, “Basic Techniques,” because it contains some very
common concepts used constantly for expressions.
If you have some previous knowledge of Mathematica, you can probably go directly to the chapter or
section you are interested in, with the risk, however, of having to go back to study some background
material. Again, be sure to read Section 13.1.
