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Titlebook: Large-Scale Scientific Computations; 14th International C Ivan Lirkov,Svetozar Margenov Conference proceedings 2024 The Editor(s) (if appli

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樓主
發(fā)表于 2025-3-21 18:24:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Large-Scale Scientific Computations
副標(biāo)題14th International C
編輯Ivan Lirkov,Svetozar Margenov
視頻videohttp://file.papertrans.cn/582/581408/581408.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Large-Scale Scientific Computations; 14th International C Ivan Lirkov,Svetozar Margenov Conference proceedings 2024 The Editor(s) (if appli
描述This book constitutes the refereed proceedings of the 14th International Conference on?Large-Scale Scientific Computations, LSSC 2023, held in Sozopol, Bulgaria, during June 5–9, 2023.?.The 49 full papers included in this book were carefully reviewed and selected from 61 submissions. They were organized in topical sections as follows: preconditioning and multilevel methods; fractures and mixed dimensional modeling: discretizations, solvers, and methodology; machine learning and model order reduction for large scale predictive simulations; fractional differential problems: theoretical aspects, algorithms and applications; variational analysis and optimal control; stochastic optimal control and numerical methods in economics and finance; tensor methods for big data analytics and low-rank approximations of PDEs solutions; applications of metaheuristics to large-scale problems; large-scale models: numerical methods, parallel computations and applications;?HPC and HPDA: algorithms and applications..
出版日期Conference proceedings 2024
關(guān)鍵詞Computations on matrices; computer networks; correlation analysis; Differential equations; Discrete opti
版次1
doihttps://doi.org/10.1007/978-3-031-56208-2
isbn_softcover978-3-031-56207-5
isbn_ebook978-3-031-56208-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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沙發(fā)
發(fā)表于 2025-3-22 00:02:47 | 只看該作者
978-3-031-56207-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
板凳
發(fā)表于 2025-3-22 00:59:17 | 只看該作者
Large-Scale Scientific Computations978-3-031-56208-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
地板
發(fā)表于 2025-3-22 07:28:47 | 只看該作者
https://doi.org/10.1007/978-3-031-56208-2Computations on matrices; computer networks; correlation analysis; Differential equations; Discrete opti
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發(fā)表于 2025-3-22 09:21:20 | 只看該作者
Adaptive Localized Reduced Basis Methods for?Large Scale PDE-Constrained OptimizationIn this contribution, we introduce and numerically evaluate a certified and adaptive localized reduced basis method as a local model in a trust-region optimization method for parameter optimization constrained by partial differential equations.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/l/image/581408.jpg
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發(fā)表于 2025-3-22 17:48:50 | 只看該作者
An Implementation of a Coarse-Fine Mesh Stabilized Schwarz Method for a Three-Space Dimensional PDE-d to general domain decomposition splitting techniques. The layer sub-domains are grouped in pairs, ordered as odd-even respectively even-odd and solved by a Schwarz alternating iteration method, where the solution at the middle interfaces of the odd-even groups is used as Dirichlet boundary conditi
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發(fā)表于 2025-3-23 00:13:24 | 只看該作者
Mixed Finite Element Methods for?the?Navier–Stokes–Biot Modeleudostress, velocity, and vorticity for Navier–Stokes, stress, displacement, and rotation for elasticity, and velocity and pressure for Darcy flow. To handle the advective term, augmenting Galerkin-type terms are introduced in the Navier–Stokes model in the first method, while the second method uses
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