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Bibliographic Details

Title: Programming Mathematics Using MATLAB (Paperback)
Publisher: Elsevier Science Publishing Co Inc, San Diego
Publication Date: 2020
Language: English
ISBN 10: 0128177993
ISBN 13: 9780128177990
Binding: Paperback
Condition: new

About this title

Synopsis

Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB� introduces the basics of programming and of using MATLAB� 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 MATLAB� projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB� programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process.

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

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

About the Author

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

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