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As large-scale discrete-event stochastic simulation becomes a tool that is used routinely for the design and analysis of stochastic systems, the need for input-modeling support with the ability to ...
Reading course on current topics in stochastic simulation design and analysis, including some subset of input modeling, output analysis, experiment design, simulation optimization, model risk, ...
A powerful software tool capable of accurately modeling how cameras capture light could help democratize the development of ...
The magnetoresistive effect supports a variety of sensor applications in automobiles. Major applications are to be found in measuring the speed and angle of mechanical systems. That makes magnetic ...
Previous installments of this series discussed the need to verify SPICE model accuracy and how to measure the output impedance and small-signal bandwidth of ...
When first-pass silicon arrives back from the foundry, accurate simulation models are critical to first-time success. Of course, we all prefer to avoid expensive learning experiences. So every ...
A person wears virtual reality goggles to view and manipulate images in the Living Heart Project. (Photo: Courtesy of Dassault Systèmes and the Living Heart Project) Clinical trials can be very ...
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