Several aspects must be taken into account when dealing with power electronic design. Within a system we can identify different elements such as thermal dissipation, electrical characteristics, ...

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 operational amplifier (op amp) models. In ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

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, ...

The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

Obtaining accurate data about the performance of a plant’s heat-recovery steam generator is crucial to ensuring the smooth operation and maintenance of the equipment. Software designed to model and ...

Managing the overwhelming numbers of molecular states and interactions is a fundamental obstacle to building predictive models of biological systems. Here we introduce the Network-Free Stochastic ...