1.

Record Nr.

UNINA9910857794803321

Autore

Alpay Daniel

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2024

ISBN

3-031-51822-5

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (0 pages)

Collana

Chapman Mathematical Notes, , 3005-1517

Disciplina

515.076

Soggetti

Algebras, Linear

Probabilities

Machine learning

Harmonic analysis

Statistical physics

Linear Algebra

Applied Probability

Machine Learning

Abstract Harmonic Analysis

Statistical Physics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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 they move on to more advanced work.