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Advanced Engineering Mathematics

by Erwin Kreyszig

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591230,046 (3.6)None
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 features 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.… (more)
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impreso en mexico
  vallebarrera | Dec 7, 2018 |
Cited thousands of times in the scholarly literature, this is a seminal work in Engineering Mathematics. First published in 1962, the 2011 tenth edition of Advanced Engineering Mathematics is currently available. The Wikipedia article on the author states it is "the leading textbook for civil, mechanical, electrical, and chemical engineering undergraduate engineering mathematics."

Part of a LibraryThing collection of Classic Engineering Books: http://dld.bz/ClassicEngineering ( )
1 vote orionpozo | Mar 16, 2012 |
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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 features 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.

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