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

Language: English

Published by Palgrave Macmillan, 2025

3031518241 / 9783031518249

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nach der Bestellung gedruckt 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 # 9783031518249

Title
Exercises in Applied Mathematics : With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics
Author
Daniel Alpay
Publisher
Palgrave Macmillan
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031518241
ISBN 13
9783031518249
Item weight
1,048 grams
Dimensions
235x155x38 mm

AHA-BUCH GmbH

Einbeck, Germany

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