Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language

Heitzinger, Clemens

ISBN 10: 3031165616 ISBN 13: 9783031165610

Editorial: Springer, 2022

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa blanda

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Detalles bibliogr�ficos

T�tulo

Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language

Editor

Springer

Fecha de publicaci�n

2022

Idioma

Ingl�s

ISBN 10

3031165616

ISBN 13

9783031165610

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

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 ofapplied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming.

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