An Introduction to Partial Differential Equations (絕)
- 20本以上，享 8.5折
售價
$
洽詢
- 一般書籍
- ISBN：9780521613231
- 作者：Yehuda Pinchover, Jacob Rubinstein
- 版次：1
- 年份：2005
- 出版商：Cambridge University
- 頁數/規格：371頁/平裝單色
書籍介紹
本書特色
目錄
Description
This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded perspective. A basic familiarity with the field of data mining concepts is built and then enhanced via 13 data mining tutorials. Upon completion of these tutorials, students will be fully able to data mine. This book is appropriate for students of CS, MIS, and Information Technology.
This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded perspective. A basic familiarity with the field of data mining concepts is built and then enhanced via 13 data mining tutorials. Upon completion of these tutorials, students will be fully able to data mine. This book is appropriate for students of CS, MIS, and Information Technology.
Features
- Many worked examples and exercises
- An undergraduate textbook which bridges the gap between introductory and advanced courses on differential equations
- Designed for students with a range of abilities
Table of Contents
1. Introduction;
2. First-order equations;
3. Second-order linear equations;
4. The 1D wave equation;
5. Separation of variables;
6. Sturm-Liouville problem;
7. Elliptic equations;
8. Green's function and integral representation;
9. Equations in high dimensions;
10. Variational methods;
11. Numerical methods;
12. Solutions of odd-numbered problems.
1. Introduction;
2. First-order equations;
3. Second-order linear equations;
4. The 1D wave equation;
5. Separation of variables;
6. Sturm-Liouville problem;
7. Elliptic equations;
8. Green's function and integral representation;
9. Equations in high dimensions;
10. Variational methods;
11. Numerical methods;
12. Solutions of odd-numbered problems.
