The course will concentrate on understanding properties of algorithms, developing implementations, and estimating their potential effectiveness in applications.
An industrial application illustrates model implementation and shows how estimates can be updated using information arising during development test and analysis.
Before going into details of the implementation and giving complexity estimates for the individual step as well as upper bounds for the memory requirements, let us make some general remarks: The presented algorithms are independent of the architecture used for the actual computations, i.e. apart from some implementation details, the same algorithms are used for CPU and GPU implementations.
Advantages of the "delete-a-group" jackknife method include simplicity of implementation and flexibility to estimate variance for any point estimate of interest.
We study in detail a dedicated mixed-mode implementation of the algorithm and estimate its implementation cost in the view of its performance and accuracy restrictions.
Detailed descriptions of the procedures that were followed for the capital estimation, establishment of the base financial model and implementation of MCE, and estimating economic parameters, are given in the support information file, as Additional file 1.
Dominici et al. (2002) reanalyzed the National Morbidity, Mortality, and Air Pollution Study data with the default implementation and found that the estimates were biased upward (i.e., higher than they should be).
Forrester estimated implementation and operating costs at $946,792, which, when subtracted from the overall benefits, left its model company with an impressive net benefit of more than $961,000.
The details of the particular implementation, and its application to estimate the entropy of English, are described in [19].
Full costs (in US $2012) of programme introduction and implementation were estimated from a provider perspective and computed from costing studies conducted in Nigeria [ 18, 19] and elsewhere.
