Exercises in Applied Mathematics

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eBay item number:357294461367
Last updated on Oct 10, 2025 22:51:14 SGTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Level
Advanced
Educational Level
Adult & Further Education
ISBN
9783031518218
Category

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3031518217
ISBN-13
9783031518218
eBay Product ID (ePID)
14064410602

Product Key Features

Number of Pages
IX, 694 Pages
Publication Name
Exercises in Applied Mathematics : With a View Toward Information Theory, Machine Learning, Wavelets, and Statistical Physics
Language
English
Subject
Algebra / Linear, Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Publication Year
2024
Type
Textbook
Subject Area
Mathematics, Computers
Author
Daniel Alpay
Series
Chapman Mathematical Notes Ser.
Format
Hardcover

Dimensions

Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
515.076
Table Of Content
Prologue.- Part I: Algebra.- Linear Algebra.- Positive Matrices.- Algebra and Error Correcting Codes.- Part II: Analysis.- Complements in Real and Complex Analysis.- Complements in Functional Analysis.- Part III: Probability and Applications.- Probability Theory.- Entropy: Discrete Case.- Thermodynamics.
Synopsis
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.
LC Classification Number
QA184-205

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