This item is printed on demand - Print on Demand Titel. Neuware -Includes an in-depth discussion of Julia for the purposes of scientific/technical computing as an open-source alternative for MATLABSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 464 pp. Englisch.

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Bibliographic Details

Title: Algorithms with JULIA
Publisher: Springer, Palgrave Macmillan Dez 2022
Publication Date: 2022
Language: English
ISBN 10: 3031165594
ISBN 13: 9783031165597
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 29 millimeters depth
Weight: 942 grams

About this title

Synopsis

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.

About the Author

Clemens Heitzinger is Associate Professor at the TU Vienna.

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