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FOCS
2006
IEEE
16 years 27 days ago
Fast Algorithms for Logconcave Functions: Sampling, Rounding, Integration and Optimization
We prove that the hit-and-run random walk is rapidly mixing for an arbitrary logconcave distribution starting from any point in the support. This extends the work of [26], where t...
László Lovász, Santosh Vempal...
IPPS
2006
IEEE
16 years 26 days ago
Workforce planning with parallel algorithms
Workforce planning is an important activity that enables organizations to determine the workforce needed for continued success. A workforce planning problem is a very complex task...
Enrique Alba, Gabriel Luque, Francisco Luna
IPPS
2006
IEEE
16 years 26 days ago
Algorithmic skeletons for stream programming in embedded heterogeneous parallel image processing applications
Algorithmic skeletons can be used to write architecture independent programs, shielding application developers from the details of a parallel implementation. In this paper, we pre...
Wouter Caarls, Pieter P. Jonker, Henk Corporaal
IPPS
2006
IEEE
16 years 26 days ago
An entropy-based algorithm for time-driven software instrumentation in parallel systems
While monitoring, instrumented long running parallel applications generate huge amount of instrumentation data. Processing and storing this data incurs overhead, and perturbs the ...
A. Ozmen
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 10 days ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...