Recent Trends in Computational Science and Engineering

Computational science and engineering (CSE) is a broad multidisciplinary and integrative area including a variety of applications in science, engineering, numerical methods, applied mathematics, and computer science disciplines. The book covers a collection of different types of applications and vis...

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Publicat: IntechOpen 2023
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Accés en línia:ONIX_20231201_9781789231939_1150
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collection Directory of Open Access Books
description Computational science and engineering (CSE) is a broad multidisciplinary and integrative area including a variety of applications in science, engineering, numerical methods, applied mathematics, and computer science disciplines. The book covers a collection of different types of applications and visions to various disciplinary key aspects, which comprises both problem-driven and methodology-driven approaches at the same time. These selected applications are: Computational and information technologies for numerical models and large unstructured data processing Evolution of matrix computations and new concepts in computing Inverse problems covering both classical and newer approaches Integro-differential scheme (IDS) that combines finite volume and finite difference methods Smart city wireless networks Signal processing methods
format Online
id doab-20.500.12854ir-130041
institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher IntechOpen
publisherStr IntechOpen
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spelling doab-20.500.12854ir-1300412024-04-04T19:19:54Z Recent Trends in Computational Science and Engineering Serdar Çelebi, M. computational fluid dynamics, artificial neural networks, signal processing, inverse problems, parameter estimation, seismic tomography thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling Computational science and engineering (CSE) is a broad multidisciplinary and integrative area including a variety of applications in science, engineering, numerical methods, applied mathematics, and computer science disciplines. The book covers a collection of different types of applications and visions to various disciplinary key aspects, which comprises both problem-driven and methodology-driven approaches at the same time. These selected applications are: Computational and information technologies for numerical models and large unstructured data processing Evolution of matrix computations and new concepts in computing Inverse problems covering both classical and newer approaches Integro-differential scheme (IDS) that combines finite volume and finite difference methods Smart city wireless networks Signal processing methods 2023-12-01T16:40:43Z 2023-12-01T16:40:43Z 2018 book ONIX_20231201_9781789231939_1150 9781789231939 9781789231922 9781838814700 https://directory.doabooks.org/handle/20.500.12854/130041 eng image/jpeg n/a https://www.intechopen.com/books/6438 https://mts.intechopen.com/storage/books/6438/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.70387 10.5772/intechopen.70387 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789231939 9781789231922 9781838814700 IntechOpen 158 open access
spellingShingle computational fluid dynamics, artificial neural networks, signal processing, inverse problems, parameter estimation, seismic tomography
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
Recent Trends in Computational Science and Engineering
title Recent Trends in Computational Science and Engineering
title_full Recent Trends in Computational Science and Engineering
title_fullStr Recent Trends in Computational Science and Engineering
title_full_unstemmed Recent Trends in Computational Science and Engineering
title_short Recent Trends in Computational Science and Engineering
title_sort recent trends in computational science and engineering
topic computational fluid dynamics, artificial neural networks, signal processing, inverse problems, parameter estimation, seismic tomography
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
topic_facet computational fluid dynamics, artificial neural networks, signal processing, inverse problems, parameter estimation, seismic tomography
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
url ONIX_20231201_9781789231939_1150