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First Order Convergence Analysis for Sparse Grid Method in Stochastic Two-Stage Linear Optimization Problem
Convergence Analysis Stochastic Optimization Scenario Generation Convex Analysis Measure Theory
2013/1/30
Stochastic two-stage linear optimization is an important and widely used optimization model. Efficiency of numerical integration of the second stage value function is critical. However, the second sta...
Approximate Solution of the Singular-Perturbation Problem on Chebyshev-Gauss Grid
Singular Perturbation Problems Two-Point Boundary Value Problems The Shifted Chebyshev Polynomials Approximation Method Matrix Method
2013/1/30
Matrix methods, now-a-days, are playing an important role in solving the real life problems governed by ODEs and/or by PDEs. Many differential models of sciences and engineers for which the existing m...
Predictive Admission Control Algorithm for Advance Reservation in Equipment Grid.
Admission Control Algorithm Advance Reservation Equipment Grid.
2012/11/30
Experiments submitted to equipment grid have quality of service (QoS) requirements, and advance reservation is used to satisfy such requirements. Due to the dynamic behaviors and fluctuations of resou...
第七届网格和协同计算国际研讨会（The 7th international conference on grid and cooperative computing）
第七届 网格 协同计算 国际研讨会 grid cooperative computing
2008/6/1
会议背景介绍： Recent years have seen rapid advances in various grid-related technologies, grid middleware as well as grid applications. The GCC conference has become one of the world-wide largest scientific...
ORDERING METHODS FOR PRECONDITIONED CONJUGATE GRADIENT METHODS APPLIED TO UNSTRUCTURED GRID PROBLEMS
ordering method preconditioned conjugate gradient method
2007/3/28
It is well known that the ordering of the unknowns can have a signicant eect on the convergence of Preconditioned Conjugate Gradient (PCG) methods. There has been considerable experimental work on the...