In addition to the statistical model itself, I provide computational details and computer code.
Graphics Processing Units (GPUs), originally developed for computer games, now provide computational power for scientific applications.
We develop a model which captures the supply and demand sides of insurance, provide computational complexity results on the provider's investment decisions, and propose different heuristic investment strategies.
Similarly, resources developed by cyberinfrastructure projects such as the iPlant Collaborative (Goff et al. 2011) and XSEDE provide computational platforms that enable scalable access to computing and data storage resources.
We present different Integer Linear Programming formulations to model this problem and provide computational results showing that the optimal solutions can be computed for realistic problem instances.
This architecture can provide computational speedup of many orders of magnitude over conventional simulation using a serial computer.
We provide computational results which highlight the benefits of using AA, namely that we can compute solutions using fewer function evaluations, larger time-steps, and achieve a more robust iteration.
We also provide computational results that show excellent solution times on small to medium sized problems.
We provide computational results to verify our analysis and analytical findings.
These findings provide computational insight to understand the transcriptional regulation of Mtb TA systems.
We provide computational results that show the effects of the distribution and variance of demand.
