Shawn Brayman never felt entirely comfortable with the application of Monte Carlo simulations in financial planning. The president of Lindsay, Ont.-based PlanPlus Inc. could appreciate the appeal of ...

Monte Carlo methods and Markov Chain algorithms have long been central to computational science, forming the backbone of numerical simulation in a variety of disciplines. These techniques employ ...

Inference for a complex system with a rough energy landscape is a central topic in Monte Carlo computation. Motivated by the successes of the Wang—Landau algorithm in discrete systems, we generalize ...

This is a preview. Log in through your library . Abstract We review the basic outline of the highly successful diffusion Monte Carlo technique commonly used in contexts ranging from electronic ...

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 ...