When people hear the name Monte Carlo, most immediately think of the famous casino in Monaco. Interestingly, however, this name is also associated with one of the most powerful methods in science and ...

Abstract: As financial institution computing requirements grow exponentially, we have explored the potential for the ClearSpeed accelerator, the cell processor and the FPGA (a field-programmable gate ...

Monte Carlo integration – the process of numerically estimating the mean of a probability distribution by averaging samples – is used in financial risk analysis, drug development, supply chain ...

This paper concerns the use of sequential Monte Carlo methods (SMC) for smoothing in general state space models. A well-known problem when applying the standard SMC technique in the smoothing mode is ...

Simulating water droplets made up of millions of molecules and on timescales as needed in biological and technological applications is challenging due to the difficulty of balancing accuracy with ...

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 ...

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 ...

A professional interactive application that demonstrates the Monte Carlo method for estimating the mathematical constant π (pi). Built with Python and PySide6, this educational tool provides real-time ...