Algorithms With Julia: Optimization, Machine Learning, and Differential Equations Using the Julia Language - Brossura

Heitzinger, Clemens

 
9783031165627: Algorithms With Julia: Optimization, Machine Learning, and Differential Equations Using the Julia Language
Brossura
ISBN 10: 3031165624 ISBN 13: 9783031165627
Casa editrice: Springer Nature, 2023

Sinossi

This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on machine learning (artificial neural networks and Bayesian estimation).

JULIA is a relatively new programming language which has been developed with scientific and technical computing in mind. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system.

Aimed at students of applied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming.



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Informazioni sull?autore

Clemens Heitzinger is Associate Professor at the TU Vienna.

Dalla quarta di copertina

This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on machine learning (artificial neural networks and Bayesian estimation).

JULIA is a relatively new programming language which has been developed with scientific and technical computing in mind. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system.

Aimed at students of applied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming.


Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
3031165624
ISBN 13 
9783031165627
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
464
Contatto del produttore
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Heidelberg
69115
Germania

Altre edizioni note dello stesso titolo

9783031165597: Algorithms With Julia: Optimization, Machine Learning, and Differential Equations Using the Julia Language

Edizione in evidenza

ISBN 10:  3031165594 ISBN 13:  9783031165597
Casa editrice: Springer Nature, 2022
Rilegato