Sentence examples for robust simulation tools from inspiring English sources
Developing robust simulation tools for problems involving multiple mathematical scales has been a subject of great interest in computational mathematics and engineering.
Towards developing more general and robust simulation tools applicable to a broad range of wastewater engineering problems, this paper evaluates a plant-wide model built with sub-models from the Benchmark Simulation Model No. 2-P (BSM2-P) with an improved/expanded physico-chemical framework (PCF).
Devising a reliable and robust simulation tool for hydro-mechanical modeling of hydraulic fracturing is imperative inasmuch as an appropriate fracturing job in a porous medium cannot be extended to another owing to various characteristics and limited access to the field data acquisition.
The Cloud Research Simulation Toolkit (CReST) was developed at the University of Bristol to address the need for a robust simulation modelling tool for research and teaching of data centre (DC) management and cloud provision.
CReST was developed at the University of Bristol to address the need for a robust simulation modelling tool for research and teaching of data centre (DC) management and cloud provision; and has successfully been used to refute, revise and extend findings in the cloud computing literature [5].
The inherent size and stiffness of genome-scale systems biology models create new challenges to be addressed for their robust simulation by systems biology tools [ 25].
A robust simulation model is an important tool for predicting new data the consequences of changes in the dosing regimen or covariate influences.
The resulting web-based training modules are supported across the Internet by tools like a robust simulation engine DYNAST, publishing and monitoring system, and environment for virtual experiments.
In building this robust simulation framework, we have created a novel decision-support tool that ED and hospital managers can use to quantify the impact of proposed changes to patient flow prior to implementation.
It consists of a flexible and robust optimization engine using evolutionary algorithms and a sequence of two different simulation tools to evaluate the designs.
Transient simulation in circuit simulation tools, such as SPICE and Xyce, depend on scalable and robust sparse LU factorizations for efficient numerical simulation of circuits and power grids.
