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.

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 ...

A new technique allows complex interactions in materials to be simulated using Monte Carlo simulations thousands of times ...

Kushal Agarwal is an expert analyst in energy and power sectors. He is currently a product manager at DSP Blackrock Mutual Fund. Pete Rathburn is a copy editor and fact-checker with expertise in ...

The evolution of DNA sequences can be described by discrete state continuous time Markov processes on a phylogenetic tree. We consider neighbor-dependent evolutionary models where the instantaneous ...

Monte Carlo simulations predict investment risks and returns using computer models. They enable investors to assess outcomes under various market conditions. Accessible tools like online calculators ...

Monte Carlo 3D dose-check calculations help clinical physicists maintain confidence in their patient-specific QA for hard-to-treat disease indications Independent viewpoint: given the clinical ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI is all about logic, but not all of it is straightforward ...

A quantum version of a computer algorithm widely used in finance, engineering and scientific modelling shows promising signs of operating much faster than existing methods. Experts say there are many ...