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The origins of wavelets go back to the beginning of the last century and wavelet methods are by now a well-known tool in image processing (jpeg2000). These functions have, however, been used successfully in other areas, such as elliptic partial differential equations, which can be used to model many processes in science and engineering. This book, based on the author's course and accessible to those with basic knowledge of analysis and numerical mathematics, gives an introduction to wavelet methods in general and then describes their application for the numerical solution of elliptic partial differential equations. Recently developed adaptive methods are also covered and each scheme is complemented with numerical results, exercises, and corresponding software tools.
This text investigates the application of wavelet-based numerical methods for solving elliptic partial differential equations in scientific and engineering contexts. Author Karsten Urban, drawing from his academic course materials, provides a structured framework for transitioning from basic wavelet theory to advanced numerical implementations. The book bridges the gap between theoretical analysis and practical computation, focusing on how wavelets can be utilized to model complex physical processes.
What You Will Find
Scope Limits
Experts recognize this volume as a specialized resource for graduate students and researchers in applied mathematics. Readers frequently note the technical density of the prose, which requires a strong background in functional analysis to fully comprehend the presented methodologies.
Page Count:
482
Publication Date:
2008-01-01
Publisher:
OUP Oxford
ISBN-10:
0191523526
ISBN-13:
9780191523526
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