Exercises in Applied Mathematics : With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics

Language: English

Published by Springer, 2024

3031518217 / 9783031518218

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and probability theory in detail and demonstrates their applications in topics such as entropy, machine learning, error-correcting codes, and quantum channels. The theory of communication and signal theory are also in the background, and many exercises have been chosen from the theory of wavelets and machine learning. Exercises are selected from a number of different domains, both theoretical and more applied. Notes and other remarks provide motivation for the exercises, and hints and full solutions are given for many. For senior undergraduate and beginning graduate students majoring in mathematics, physics, or engineering, this text will serve as a valuable guide as theymove on to more advanced work.…

Seller Inventory # 9783031518218

Title
Exercises in Applied Mathematics : With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics
Author
Daniel Alpay
Publisher
Springer
Publication year
2024
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031518217
ISBN 13
9783031518218
Item weight
1,209 grams
Dimensions
241x160x43 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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