Mathematics for Physical Science and Engineering

Mathematics for Physical Science and Engineering

Last edition Elsevier 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.

Last Edition

ISBN 13: 9780128010006

Imprint: Elsevier

Language: English

Authors: Frank E. Harris

Pub Date: 06/2014

Pages: 944

Illus: Illustrated

Weight: 1,980.000 grams

Size: 216 X 276 mm

Product Type: Hardcover

List Price
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$ 106,68
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  • • 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
  • Frank E. Harris, University of Florida, USA
  • 1. Computers, Science, and Engineering
  • 2. Infinite Series
  • 3. Complex Numbers and Functions
  • 4. Vectors and Matrices
  • 5. Matrix Transformations
  • 6. Multidimensional Problems
  • 7. Vector Analysis
  • 8. Tensor Analysis
  • 9. Gamma Function
  • 10. Ordinary Differential Equations
  • 11. General Vector Spaces
  • 12. Fourier Series
  • 13. Integral Transforms
  • 14. Series Solutions: Important ODEs 14. General Vector Spaces
  • 15. Partial Differential Equations
  • 16. Calculus of Variations
  • 17. Complex Variable Theory
  • 18. Probability and Statistics Appendix
  • A Methods for Making Plots Appendix
  • B Printing Tables of Function Values Appendix
  • C Data Structures for Symbolic Computing Appendix
  • D Symbolic Computing of Recurrences Formulas Appendix
  • E Partial Fractions Appendix
  • F Mathematical Induction Appendix
  • G Constrained Extrema Appendix
  • H Symbolic Computing for Vector Analysis Appendix
  • I Maple Tensor Utilities Appendix
  • J Wronskians in ODE Theory Appendix
  • K Maple Code for Associated Legendre Functions and Spherical Harmonics
  • Index
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