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Titlebook: Large-Scale Scientific Computing; 8th International Co Ivan Lirkov,Svetozar Margenov,Jerzy Waśniewski Conference proceedings 2012 Springer-

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书目名称Large-Scale Scientific Computing
副标题8th International Co
编辑Ivan Lirkov,Svetozar Margenov,Jerzy Waśniewski
视频video
概述Fast-track conference proceedings State-of-the-art research Up-to-date results
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Large-Scale Scientific Computing; 8th International Co Ivan Lirkov,Svetozar Margenov,Jerzy Waśniewski Conference proceedings 2012 Springer-
描述This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Large-Scale Scientific Computations, LSSC 2011, held in Sozopol, Bulgaria, in June 2011. The 74 revised full papers presented together with 3 plenary and invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on robust multigrid, multilevel and multiscale, deterministic and stochastic methods for modeling highly heterogeneous media, advanced methods for transport, control and uncertain systems, applications of metaheuristics to large-scale problems, environmental modelling, large scale computing on many-core architectures, multiscale industrial, enviromental and biomedical problems, efficient algorithms of computational geometry, high performance Monte Carlo simulations, voxel based computations and contributed papers.
出版日期Conference proceedings 2012
关键词climate; distributed computing; finite elements; parallel algorithms; stochastic methods; algorithm analy
版次1
doihttps://doi.org/10.1007/978-3-642-29843-1
isbn_softcover978-3-642-29842-4
isbn_ebook978-3-642-29843-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Additive Schur Complement Approximation for Elliptic Problems with Oscillatory Coefficientsr elliptic PDE with highly oscillatory (piecewise constant) diffusion coefficient. The main ideas are illustrated by three different examples that reveal the key point of constructing a robust sparse ASCA. We also demonstrate how the quality of the ASCA can be improved and how its sparsity is controlled.
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Optimization-Based Modeling with Applications to Transport: Part 2. The Optimization Algorithmhe discretization process. One application of the framework is in the formulation of robust algorithms for optimization-based transport (OBT). Based on the theoretical foundations established in Part 1, this paper focuses on the development of an efficient optimization algorithm for the solution of the . that is at the heart of OBT.
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Reachable Sets of Impulsive Control System with Cone Constraint on the Control and Their Estimatesn in the space of functions of bounded variation. The algorithms for constructing the external ellipsoidal estimates of reachable sets for such control systems are given. Numerical simulation results relating to the proposed procedures are also discussed.
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Optimal Mass Transportation-Based Models for Neuronal Fibersths between two given areas as geodesics of a suitable well-posed optimal control problem (related to optimal mass transportation), we are able to provide a quantitative criterion to estimate the connectivity between two given cerebral regions, and to recover the actual distribution of neuronal fibers between them.
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