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Methods of Applied Mathematics with a MATLAB Overview

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  • 736pagine
  • 26 ore di lettura

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Broadly organized around the applications of Fourier analysis, "Methods of Applied Mathematics with a MATLAB Overview" covers both classical applications in partial differential equations and boundary value problems, as well as the concepts and methods associated to the Laplace, Fourier, and discrete transforms. Transform inversion problems are also examined, along with the necessary background in complex variables. A final chapter treats wavelets, short-time Fourier analysis, and geometrically-based transforms. The computer program MATLAB is emphasized throughout, and an introduction to MATLAB is provided in an appendix. Rich in examples, illustrations, and exercises of varying difficulty, this text can be used for a one- or two-semester course and is ideal for students in pure and applied mathematics, physics, and engineering.

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Methods of Applied Mathematics with a MATLAB Overview, Jon Davis

Lingua
Pubblicato
2013
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In buone condizioni
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49,99 €

Metodi di pagamento

Titolo
Methods of Applied Mathematics with a MATLAB Overview
Lingua
Inglese
Autori
Jon Davis
Pubblicato
2013
Formato
In brossura
Pagine
736
ISBN10
1461264863
ISBN13
9781461264866
Serie
Descrizione
Broadly organized around the applications of Fourier analysis, "Methods of Applied Mathematics with a MATLAB Overview" covers both classical applications in partial differential equations and boundary value problems, as well as the concepts and methods associated to the Laplace, Fourier, and discrete transforms. Transform inversion problems are also examined, along with the necessary background in complex variables. A final chapter treats wavelets, short-time Fourier analysis, and geometrically-based transforms. The computer program MATLAB is emphasized throughout, and an introduction to MATLAB is provided in an appendix. Rich in examples, illustrations, and exercises of varying difficulty, this text can be used for a one- or two-semester course and is ideal for students in pure and applied mathematics, physics, and engineering.