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

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書目名稱Large-Scale Scientific Computing影響因子(影響力)




書目名稱Large-Scale Scientific Computing影響因子(影響力)學(xué)科排名




書目名稱Large-Scale Scientific Computing網(wǎng)絡(luò)公開度




書目名稱Large-Scale Scientific Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Large-Scale Scientific Computing被引頻次




書目名稱Large-Scale Scientific Computing被引頻次學(xué)科排名




書目名稱Large-Scale Scientific Computing年度引用




書目名稱Large-Scale Scientific Computing年度引用學(xué)科排名




書目名稱Large-Scale Scientific Computing讀者反饋




書目名稱Large-Scale Scientific Computing讀者反饋學(xué)科排名

amygdala

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.

GLOOM

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.

heterogeneous

頌揚國家

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.

Override

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.

Femine

耕種

真

繼承人