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Advanced Engineering Mathematics 9th Edition by Kreyszig

上传者: 2018-12-07 07:31:12上传 ZIP文件 116.77MB 热度 56次
Bibliographic Details Title: Advanced Engineering Mathematics Publisher: John Wiley & Sons Publication Date: 2006 Binding: Paperback Book Condition:good Edition: 9th International edition. About this title Synopsis: This market leading text is known for its comprehensive coverage, careful and correct mathematics, outstanding exercises and self contained subject matter parts for maximum flexibility. Thoroughly updated and streamlined to reflect new developments in the field, the ninth edition of this bestselling text feat ures modern engineering applications and the uses of technology. Kreyszig introduces engineers and computer scientists to advanced math topics as they relate to practical problems. The material is arranged into seven independent parts: ODE; Linear Algebra, Vector Calculus; Fourier Analysis and Partial Differential Equations; Complex Analysis; Numerical methods; Optimization, graphs; and Probability and Statistics. From the Back Cover: Erwin Kreyszig’s Advanced Engineering Mathematics, 9th Edition introduces engineers and computer scientists to advanced math topics as they relate to practical problems. In today’s world of increasingly complex engineering problems, powerful new mathematical and computational methods, and enormous computer capacities, you can get overwhelmed by little things you will only occasionally use. Instead, you need to learn how to think mathematically and gain a firm grasp of the interrelationship among theory, computing, and experiment. That’s why Kreyszig’s text helps you develop a solid understanding of the basic principles and methods of advanced engineering mathematics in all three phases of problem solving: Modeling, Solving, and Interpreting. This best-selling text is known for its comprehensive coverage, careful and correct mathematics, outstanding exercises, and self-contained chapters. Key Features New problem sets. New Computer Experiments, using the computer as an instrument of “experimental mathematics” for exploration and research. More on modeling and selection methods. Accurate and solid theoretical foundation. Clear examples and exposition of material. Modern and standard notations.
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