Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 54,20
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Añadir al carritoCondición: New. In.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 53,12
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Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 54,22
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Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Publicado por Springer International Publishing, 2023
ISBN 10: 3031165624 ISBN 13: 9783031165627
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 50,72
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Añadir al carritoPF. Condición: New.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 54,76
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 71,28
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Añadir al carritoHardcover. Condición: Brand New. 460 pages. 9.25x6.10x1.14 inches. In Stock.
Publicado por Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3031165594 ISBN 13: 9783031165597
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 74,89
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Añadir al carritoBuch. Condición: 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.