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Importance Sampling allows for efficient Monte Carlo sampling that also properly covers tails of distributions. From Large Deviation Theory we derive an optimal upper bound for the number of samples to efficiently sample for an accurate fail probability P fail ≤ 10 −10. We apply this to accurately and efficiently minimize the access time of Static Random(More)
The generalized eigenvalue problem in shipdesign and offshore industry-A comparision of traditional methods with Lanczos process, Proceed-An improved algorithm for the computation of Kro-necker's canonical form of a singular pencil, Linear Algebra and its Applications, 105 (1988) 9-65. A new method for computing a column reduced polynomial matrix,
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