Mathematics for Physical Science and Engineering

Mathematics for Physical Science and Engineering
Author :
Publisher : Academic Press
Total Pages : 944
Release :
ISBN-10 : 9780128010495
ISBN-13 : 0128010495
Rating : 4/5 (95 Downloads)

Book Synopsis Mathematics for Physical Science and Engineering by : Frank E. Harris

Download or read book Mathematics for Physical Science and Engineering written by Frank E. Harris and published by Academic Press. This book was released on 2014-05-24 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics for Physical Science and Engineering is a complete text in mathematics for physical science that includes the use of symbolic computation to illustrate the mathematical concepts and enable the solution of a broader range of practical problems. This book enables professionals to connect their knowledge of mathematics to either or both of the symbolic languages Maple and Mathematica. The book begins by introducing the reader to symbolic computation and how it can be applied to solve a broad range of practical problems. Chapters cover topics that include: infinite series; complex numbers and functions; vectors and matrices; vector analysis; tensor analysis; ordinary differential equations; general vector spaces; Fourier series; partial differential equations; complex variable theory; and probability and statistics. Each important concept is clarified to students through the use of a simple example and often an illustration. This book is an ideal reference for upper level undergraduates in physical chemistry, physics, engineering, and advanced/applied mathematics courses. It will also appeal to graduate physicists, engineers and related specialties seeking to address practical problems in physical science. Clarifies each important concept to students through the use of a simple example and often an illustration Provides quick-reference for students through multiple appendices, including an overview of terms in most commonly used applications (Mathematica, Maple) Shows how symbolic computing enables solving a broad range of practical problems


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