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Titlebook: Large-Scale Scientific Computing; 12th International C Ivan Lirkov,Svetozar Margenov Conference proceedings 2020 Springer Nature Switzerlan

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书目名称Large-Scale Scientific Computing
副标题12th International C
编辑Ivan Lirkov,Svetozar Margenov
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Large-Scale Scientific Computing; 12th International C Ivan Lirkov,Svetozar Margenov Conference proceedings 2020 Springer Nature Switzerlan
描述This book constitutes revised papers from the 12th International Conference on Large-Scale Scientific Computing, LSSC 2019, held in Sozopol, Bulgaria, in June 2019. The 70 papers presented in this volume were carefully reviewed and selected from 81 submissions. The book also contains two invited talks. The papers were organized in topical sections named as follows: control and optimization of dynamical systems; meshfree and particle methods; fractional diffusion problems: numerical methods, algorithms and applications; pore scale flow and transport simulation; tensors based algorithms and structures in optimization and applications; HPC and big data: algorithms and applications; large-scale models: numerical methods, parallel computations and applications; monte carlo algorithms: innovative applications in conjunctions with other methods; application of metaheuristics to large-scale problems; large scale machine learning: multiscale algorithms and performance guarantees; andcontributed papers. .
出版日期Conference proceedings 2020
关键词artificial intelligence; communication systems; computer hardware; computer networks; correlation analys
版次1
doihttps://doi.org/10.1007/978-3-030-41032-2
isbn_softcover978-3-030-41031-5
isbn_ebook978-3-030-41032-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Weighted Time-Semidiscretization Quasilinearization Method for Solving Rihards’ Equationolve the classical and a new . - time-fractional (.) equation, that models anomalous diffusion in porous media. High-order approximation of the . fractional derivative is applied. Numerical comparison results are discussed.
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978-3-030-41031-5Springer Nature Switzerland AG 2020
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First-Order System Least Squares Finite-Elements for Singularly Perturbed Reaction-Diffusion Equations to such problems feature layer phenomena, and are ubiquitous in many areas of applied mathematics and modelling. There is a long history of the development of specialized numerical schemes for their accurate numerical approximation. We follow a well-established practice of employing . layer-adapt
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Asymptotic Behaviour of Controllability Gramians and Convexity of Small-Time Reachable Setss. The convexity of a reachable set for a nonlinear control system under integral constraints was proved by B. Polyak under assumption that linearization of the system is controllable and . norms of controls are bounded from above by a sufficiently small number. Using this result we propose sufficie
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