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.

In this paper, we present a fast method which allows connecting together SystemC modules. These modules may be specified at different abstraction levels, and we obtain an executable simulation model ...

Learn how Value at Risk (VaR) predicts possible investment losses and explore three key methods for calculating VaR: ...

Healthcare simulation is the modern way to educate and train healthcare professionals to master cognitive, technical, and behavioral skill sets through technologically advanced crafted experiences.

The principal difficulty in pricing derivative payoffs on underlyings with stochastic volatility using Monte Carlo simulation is that many small time steps are needed ...

The mathematical methods employed in the model The model that powers the simulator is empirical. Months before any user touched the simulator, I went back into historical data and examined the ...

Isolation, retention, and power switches are some of the important functionalities of power-aware designs that use some of the common low power techniques (e.g.) power shutoff, multi-voltage and ...

Standard cell libraries have been a mainstay of chip design for many decades since the inception of logic synthesis and composition methodologies. Cell library IP typically contains Verilog models ...