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An Introduction to Wavelets Through Linear Algebra (Paperback, Softcover reprint of the original 1st ed. 1999) Loot Price: R1,365
Discovery Miles 13 650
An Introduction to Wavelets Through Linear Algebra (Paperback, Softcover reprint of the original 1st ed. 1999): M.W. Frazier

An Introduction to Wavelets Through Linear Algebra (Paperback, Softcover reprint of the original 1st ed. 1999)

M.W. Frazier

Series: Undergraduate Texts in Mathematics

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Loot Price R1,365 Discovery Miles 13 650 | Repayment Terms: R128 pm x 12*

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Mathematics majors at Michigan State University take a "Capstone" course near the end of their undergraduate careers. The content of this course varies with each offering. Its purpose is to bring together different topics from the undergraduate curriculum and introduce students to a developing area in mathematics. This text was originally written for a Capstone course. Basic wavelet theory is a natural topic for such a course. By name, wavelets date back only to the 1980s. On the boundary between mathematics and engineering, wavelet theory shows students that mathematics research is still thriving, with important applications in areas such as image compression and the numerical solution of differential equations. The author believes that the essentials of wavelet theory are sufficiently elementary to be taught successfully to advanced undergraduates. This text is intended for undergraduates, so only a basic background in linear algebra and analysis is assumed. We do not require familiarity with complex numbers and the roots of unity.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Undergraduate Texts in Mathematics
Release date: April 2014
First published: 1999
Authors: M.W. Frazier
Dimensions: 235 x 155 x 27mm (L x W x T)
Format: Paperback
Pages: 503
Edition: Softcover reprint of the original 1st ed. 1999
ISBN-13: 978-3-642-85572-6
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
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LSN: 3-642-85572-5
Barcode: 9783642855726

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