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Elsevier

Programming Mathematics Using MATLAB

  • 1 Edición - 9 de mayo de 2020
  • Última edición
  • Autor: Lisa A. Oberbroeckling
  • Idioma: Inglés

Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlight… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

Undergraduate/graduate Mathematics students requiring a basic introduction and practice in MATLAB®

Índice

Part 1. MATLAB

1. Introduction to MATLAB

2. Vectors and Matrices (Arrays)

3. Plotting in MATLAB

4. Three-Dimensional Plots

5. Functions

6. Control Flow

7. Miscellaneous Commands and Code Improvement

Part 2. Mathematics and MATLAB

8. Transformations and Fern Fractals

9. Complex Numbers and Fractals

10. Series and Taylor Polynomials

11. Numerical Integration

12. The Gram–Schmidt Process

Appendices
A. Publishing and Live Scripts
B. Final Projects
C. Linear Algebra Projects
D. Multivariable Calculus Projects

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 9 de mayo de 2020
  • Idioma: Inglés

Sobre el autor

LO

Lisa A. Oberbroeckling

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.
Afiliaciones y experiencia
Loyola University, Mathematics and Statistics Department, Baltimore, MD, USA

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