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The main new features of the PRESHOWER code include a much faster algorithm applied in the procedures of simulating the processes of gamma conversion and bremsstrahlung, update of the geomagnetic field model, and a minor correction.
We propose in this paper a much faster algorithm that runs in average-case O(N) time, assuming that the database structures follow some model of molecular physics.
Another less accurate but much faster algorithm (outer-bounding by optimization) is particularly suited in case of a large number of variables, e.g. for state estimation.
For practical applications and for computer simulations of genomic selection breeding schemes, where many selection rounds and replications are required, it would be advantageous if a much faster algorithm for the calculation of BayesB GW-EBV would be available.
In a follow-up, the authors present a much faster algorithm on a related graph model that relates maximum cuts to SNP allele flips (in the MEC model) [ Bansal and Bafna (2008)].
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Based on the traditional coordinate-descent algorithm, column-orthogonality and non-negative constraints, we derive a much faster optimization algorithm in theory for solving the NN-Sparse LSA model.
A much faster incremental algorithm is described here, which takes time O(n2logn) for binary strings.
The performance of the proposed algorithm is 1.615 times faster than the standard squaring algorithm and much faster than other algorithms.
The most striking feature of the descent curves of pLSA and the piES algorithm is how much faster the ES algorithm converges in almost all cases.
The speed up indicates how much faster a parallel algorithm is than its corresponding sequential algorithm.
On the other side, the distributed algorithm converges much faster than the centralized algorithm and shows a linear dependence on the number of SUs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com