Not all Spice versions perform Monte Carlo simulations. Even those that do may only have a small number of available distributions, much less custom ones. LTSpice, for example, has built-in random ...

The Random Sample sampling method is also known as Monte Carlo. Monte Carlo is the simplest and best-known sampling method. It draws values at random from the uncertainty distribution of each input ...

To simulate chance occurrences, a computer can’t literally toss a coin or roll a die. Instead, it relies on special numerical recipes for generating strings of shuffled digits that pass for random ...

We consider two random sequential packing processes in which spheres of unit radius are randomly attached to the surface of a fixed unit sphere. Independent random spheres are generated and added ...

I am looking to estimate the potential for failure in a complex system using Monte Carlo simulation. I am quite familiar with using MC for engineering simulations, but have never approached the ...

Multilevel analysis is a useful technique for analyzing longitudinal data. To describe a person's development across time, the quality of the estimates of the random coefficients, which relate time to ...

Few mainstream software models employed by financial advisors provided any clues in early 2008 about the devastation that awaited the financial markets. So it's not surprising that over the last ...

Generating a random number might seem like an easy task, but it can be surprisingly difficult — especially if the probability distribution from which the number is drawn is complex. This is often the ...

Even though rand() may be a good enough random number generator for making a video game, the patterns of random bits it spits out may not be sufficient for applications requiring truly random data.

Not all Spice versions perform Monte Carlo simulations. Even those that do may only have a small number of available distributions, much less custom ones. LTSpice, for example, has built-in random ...