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Traditionally, network and computation failure on a heterogeneous network are viewed as an unfortunate obstacle to reliable, efficient computation.
Due to some point features go out of bounds or varying from frame to frame, or due to computation failure, some of them could not be tracked.
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The paper presents an extension of the first order reliability method for computation of failure probabilities.
In this paper, we consider two methods of computation of failure probabilities by adapted polynomial chaos expansions.
A major step to accurately estimate a circuit SER is the computation of failure probability, which requires the computation of three derating factors, namely logical, electrical, and timing derating.
The computation of failure probability bounds is accomplished by the deformation of hyper-spherical or hyper-rectangular sets in the standard normal space and utilizes a combination of numerical optimization and analytic tools.
The ability to compute multinormal integrals to any required accuracy is a key issue for an efficient computation of failure probabilities, particular important in context with system reliability analysis.
Computational failures exist in any computational system and can compromise the application execution, especially on a processing grid with intensive computing demand (months of computation).
It permits the computation of the failure probability of any structure under any mechanical load, solely based on considerations of the microstructure and its failure properties by naturally incorporating the statistical and size-dependent aspects of failure.
Our goal is the computation of the failure probability of the frictionless contact problem.
The computation for the failure possibility constraints in each optimization loop is a double-loop nested problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com