One of these methods using Markov chains and sometimes classified as either an independence chain or a random walk is the Metropolis-Hastings algorithm, which is also considered a type of simulated annealing. Often used in sto- chastic modeling, this method was first used to study radiation shielding by John von Neumann and Stanis?aw Ulam. Often used to approximate integrals, this mathematical method is used to study situations such as Brownian motion, economic modeling, and games of chance when deterministic solutions 
One of these methods using Markov chains and sometimes classified as either an independence chain or a random walk is the Metropolis-Hastings algorithm, which is also considered a type of simulated annealing. Often used in sto- chastic modeling, this method was first used to study radiation shielding by John von Neumann and Stanis?aw Ulam. Often used to approximate integrals, this mathematical method is used to study situations such as Brownian motion, economic modeling, and games of chance when deterministic solutions are unknown or unhelpful. Identify this type of solution that repeatedly uses random numbers which is named after a European city.
One of these methods using Markov chains and sometimes classified as either an independence chain or a random walk is the Metropolis-Hastings algorithm, which is also considered a type of simulated annealing.
{Monte Carlo} algorithm or method [accept {annealing} or {stochastic} before they are mentioned]