This MATLAB code implements the classical Monte Carlo method for solving partial differential equations (PDEs). The code uses the log function of the norm of a random vector as an example PDE and ...

Monte Carlo simulation for the Monty Hall problem, calculates the probabilities of winning by holding on to original choice, or altering choice.

In this work, we develop a MATLAB code to examine the effect of the smart grid applications in improving the reliability of the power distribution networks via Monte Carlo Simulation approach. The ...

Resistor-Inductor-Capacitor (RLC) circuits form the building blocks of most electronic networks today and the evaluation of their behavior is of primary importance. This paper presents MNA-MAT, a ...

Summary Monte‐Carlo methods present two advantages compared to deterministic methods: (i) the convergence speed does not depend on the dimension; and (ii) their use does not depend on the regularity ...

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.