Clemens Heitzinger: Algorithms with JULIA

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Cover: 9783031165597 | Algorithms with JULIA | Clemens Heitzinger | Buch | Englisch | 2022

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

Clemens Heitzinger is Associate Professor at the TU Vienna.

Zusammenfassung

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

Inhaltsverzeichnis

An Introduction to the Julia Language.- Functions.- Variables, Constants, Scopes, and Modules.- Built-in Data Structures.- User Defined Data Structures and the Type System.- Control Flow.- Macros.- Arrays and Linear Algebra.- Ordinary Differential Equations.- Partial-Differential Equations.- Global Optimization.- Local Optimization.- Neural Networks.- Bayesian Estimation.

Details

Erscheinungsjahr:	2022
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Seiten:	464
Inhalt:	XXI 439 S. 2 s/w Illustr. 13 farbige Illustr. 439 p. 15 illus. 13 illus. in color.
ISBN-13:	9783031165597
ISBN-10:	3031165594
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Heitzinger, Clemens
Auflage:	1st ed. 2022
Hersteller:	Springer International Publishing
Maße:	241 x 160 x 29 mm
Von/Mit:	Clemens Heitzinger
Erscheinungsdatum:	13.12.2022
Gewicht:	0,942 kg

preigu-id: 122979683