Produktbild: Algorithms with JULIA

Algorithms with JULIA

Lieferzeit: Lieferbar innerhalb 14 Tagen

74,89 €

inkl. 7 % MwSt. zzgl. Versandkosten

Optimization, Machine Learning, and Differential Equations Using the JULIA Language

ISBN: 3031165594
ISBN 13: 9783031165597
Autor: Heitzinger, Clemens
Verlag: Springer Verlag GmbH
Umfang: XXI, 439 S., 2 s/w Illustr., 13 farbige Illustr., 439 p. 15 illus., 13 illus. in color.
Erscheinungsdatum: 13.12.2022
Auflage: 1/2023
Format: 2.8 x 24.2 x 16.2
Gewicht: 913 g
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 6432211 Kategorie:

Beschreibung

Includes an in-depth discussion of Julia for the purposes of scientific/technical computing as an open-source alternative for MATLAB One of the first books about scientific/technical computing using  Julia at a non-trivial application level Written at an introductory level Focuses on applications which may be a bit more advanced than what is typically found in books on scientific computing, but which are immediately useful nowadays.  Enables the reader to solve more modern, complicated problems

Autorenporträt

Clemens Heitzinger is Associate Professor at the TU Vienna.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …