《工程数学：高级版》（第九版）由Kreyszig编写，本书为学生和工程师提供全面且深入的高等数学知识，涵盖线性代数、常微分方程等内容。
Bibliographic Details
Title: Advanced Engineering Mathematics
Publisher: John Wiley & Sons
Publication Date: 2006
Binding: Paperback
Book Condition: Good
Edition: 9th International edition
Synopsis:
This leading textbook is renowned for its extensive coverage, precise and accurate mathematics, excellent exercises, and self-contained sections that allow maximum flexibility.
Completely updated and streamlined to reflect recent advancements in the field, this ninth edition of a best-selling text highlights modern engineering applications and the use of technology. Kreyszig introduces engineers and computer scientists to advanced mathematical topics as they relate to practical issues. The content is organized into seven independent parts: Ordinary Differential Equations (ODE); Linear Algebra and Vector Calculus; Fourier Analysis and Partial Differential Equations; Complex Analysis; Numerical Methods; Optimization, Graphs; Probability and Statistics.
From the Back Cover:
Erwin Kreyszig’s Advanced Engineering Mathematics, 9th Edition introduces engineers and computer scientists to advanced mathematical topics as they relate to practical problems.
In todays era of increasingly complex engineering challenges, powerful new mathematical and computational methods, and significant advancements in computing power, it can be easy to feel overwhelmed by tools that are only occasionally needed. Instead, you need to learn how to think mathematically and understand the interconnections among theory, computation, and experimentation. That’s why Kreyszigs text helps readers develop a solid understanding of fundamental principles and methods of advanced engineering mathematics across three key phases: modeling, solving problems, and interpreting results.
Key Features:
- New problem sets.
- Additional computer experiments that utilize computers as tools for experimental mathematics in exploration and research.
- More emphasis on modeling techniques and selection criteria.
- A robust theoretical foundation.
- Clear examples and explanations of content.
- Contemporary and standard notations.
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