Algorithms With Julia: Optimization, Machine Learning, and Differential Equations Using the Julia Language - Couverture souple
Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Clemens Heitzinger is Associate Professor at the TU Vienna.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Algorithms with JULIA, Optimization, Machine Learning, and Differential Equations Using the JULIA Language
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Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language
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Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26399309825
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Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language
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Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language
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Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Algorithms with JULIA
Edité par
Berlin Springer International Publishing Springer, 2023
ISBN 10 : 3031165624
ISBN 13 : 9783031165627
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 439 pp. Englisch. N° de réf. du vendeur 9783031165627
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Algorithms with JULIA
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031165624
ISBN 13 : 9783031165627
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written at an introductory levelUsing JULIA on a non-trivial application levelIncludes discussion of JULIA as an open-source alternative for MATLABClemens Heitzinger is Associate Professor at the TU Vienna. N° de réf. du vendeur 1252895717
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Algorithms with JULIA
ISBN 10 : 3031165624
ISBN 13 : 9783031165627
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch. N° de réf. du vendeur 9783031165627
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Algorithms with JULIA : Optimization, Machine Learning, and Differential Equations Using the JULIA Language
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031165624
ISBN 13 : 9783031165627
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783031165627
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