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Titlebook: High Performance Computing in Science and Engineering; 4th International Co Tomá? Kozubek,Peter Arbenz,Petr Tichy Conference proceedings 20

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書(shū)目名稱(chēng)High Performance Computing in Science and Engineering
副標(biāo)題4th International Co
編輯Tomá? Kozubek,Peter Arbenz,Petr Tichy
視頻videohttp://file.papertrans.cn/427/426355/426355.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: High Performance Computing in Science and Engineering; 4th International Co Tomá? Kozubek,Peter Arbenz,Petr Tichy Conference proceedings 20
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on High Performance Computing in Science and Engineering, HPCSE 2019, held in?Karolinka, Czech Republic, in May 2019...The 9 papers presented in this volume were carefully reviewed and selected from 13 submissions. The conference provides an international forum for exchanging ideas among researchers involved in scientific and parallel computing, including theory and applications, as well as applied and computational mathematics. The focus of HPCSE 2019 was on models, algorithms, and software tools that facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications..
出版日期Conference proceedings 2021
關(guān)鍵詞mathematical optimization; solvers; parallel computing methodologies; modeling and simulation; physical
版次1
doihttps://doi.org/10.1007/978-3-030-67077-1
isbn_softcover978-3-030-67076-4
isbn_ebook978-3-030-67077-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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evelopment and selection of matrix resins and adhesives for composites, and in studies of adhesive bonding of these materials. It is informative first, to define what is a composite and then to discuss selected surface analytical studies of fibers and composites.
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High Performance Computing in Science and Engineering978-3-030-67077-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/426355.jpg
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Steffen B?rmTwo elements dominate linear algebra: matrices and vectors. One may identify vectors with certain matrices but not .. Thus matrices are the dominant feature. We shall, therefore, first deal with matrices and then with vectors.
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