Steven Krantz
Differential Equations: A Modern Approach with Wavelets
Differential Equations: A Modern Approach with Wavelets
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Excellent- More about Differential Equations: A Modern Approach with Wavelets
This book provides a modern and balanced approach to the Differential Equations course, covering differential equations, Fourier analysis, and applications with equal weight. It includes a chapter on wavelets and their applications in signal and image processing.
Format: Paperback / softback
Length: 482 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd
This new book from one of the most published authors in all of mathematics is an attempt to offer a new, more modern take on the Differential Equations course. The world is changing. Because of the theory of wavelets, Fourier analysis is ever more important and central. And applications are a driving force behind much of mathematics. This text presents a more balanced picture. The text covers differential equations (both ordinary and partial), Fourier analysis, and applications in equal measure and with equal weight. The Riemann integral is used throughout. We do not assume that the student knows any functional analysis. We likewise do not assume that the student has had a course in undergraduate real analysis. To make the book timely and exciting, a substantial chapter on basic properties of wavelets, with applications to signal processing and image processing, is included. This should give students and instructors alike a taste of what is happening in the subject today.
This new book from one of the most published authors in all of mathematics is an attempt to offer a new, more modern take on the Differential Equations course. The world is changing. Because of the theory of wavelets, Fourier analysis is ever more important and central. And applications are a driving force behind much of mathematics. This text presents a more balanced picture. The text covers differential equations (both ordinary and partial), Fourier analysis, and applications in equal measure and with equal weight. The Riemann integral is used throughout. We do not assume that the student knows any functional analysis. We likewise do not assume that the student has had a course in undergraduate real analysis. To make the book timely and exciting, a substantial chapter on basic properties of wavelets, with applications to signal processing and image processing, is included. This should give students and instructors alike a taste of what is happening in the subject today.
Weight: 890g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032474847
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