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The tools include methods for a rapid construction of regional Digital Structural Models (DSM), composed of spatially interpolated orientation data from structural field measurements, and applications to compute geometrical and kinematical properties of large slope regions from combining DSM with Digital Elevation Model (DEM -derived parameters.
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It is known that the qd formula has the applications to computing a continued fraction expansion of power series [5], zeros of polynomial [3], eigenvalues of a so-called Jacobi matrix [9] and so on.
Parallel Monte Carlo algorithms are introduced as a starting point including their applications to computing single-parameter and certain multiple-parameter models.
This is followed by a discussion of applications to computing probabilities of unranked gene tree topologies and to inferring ranked species trees under maximum likelihood and a modification to the MDC criterion.
Voronoi diagrams are applied for wireless application to compute the Voronoi region of each node.
The method is a generalization of a previous engineering application to compute the initial equilibrium of railway overheads.
Many other mechanical devices built during the 19th century also performed repetitive functions more or less automatically, but few had any application to computing.
The first idea that can still be found in many applications is to compute the p-value as if the number of responders followed a binomial distribution of parameters (n Π0).
The "smoothing" problem, of no interest to us in this application, is to compute past values of the clinical data using today's and past values of the OTC data, and so the "smoothed" value is, k > 0, which is to be compared to the actual value of the clinical data on day number n - k.
To tackle this, Illumio doesn't eschew firewall philosophy, but rather embraces it: it effectively wraps a firewall around every piece of a business' IT systems, from applications through to computing processes, covering wherever those pieces of software may reside.
This full algorithm leads to simpler applications, and to computing speed for the scenario tested, which is several hundred times faster than the previous strategy of penalising solutions that break constraints.
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