Programming Mathematics Using MATLAB - Softcover

Oberbroeckling, Lisa A.

 
9780128177990: Programming Mathematics Using MATLAB
Softcover
ISBN 10: 0128177993 ISBN 13: 9780128177990
Publisher: Academic Press, 2020

Synopsis

Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLABŪ introduces the basics of programming and of using MATLABŪ by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLABŪ projects, all of which have been class-tested thoroughly, and which enable students to put MATLABŪ programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process.

Programming Mathematics Using MATLABŪ is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLABŪ specifically and those focused on mathematical concepts which seek to utilize MATLABŪ in the classroom.

  • Provides useful visual examples throughout for student comprehension
  • Includes valuable, class-tested projects to reinforce both familiarity with MATLABŪ and a deeper understanding of mathematical principles
  • Offers downloadable MATLABŪ scripts to supplement practice and provide useful example

"synopsis" may belong to another edition of this title.

About the Author

Lisa Oberbroeckling is on the faculty of the Mathematics and Statistics Department at Loyola University Maryland. She has used MATLABŪ in her linear algebra and multivariate calculus courses since 2004. She was instrumental in the design and teaching of a Programming Mathematics using MATLABŪ course (both 1-credit and 3-credit) within her department. Her research is focused on functional and numerical analysis.

"About this title" may belong to another edition of this title.

Publisher
Academic Press
Publication date
2020
Language
English
ISBN 10 
0128177993
ISBN 13 
9780128177990
Binding
Paperback
Edition number
1
Number of pages
296