Metropolis-adjusted Langevin algorithm

Metropolis-adjusted langevin algorithm (MALA) is a method used in mathematics to estimate an answer based on a set of data points. It works by taking all of the data points, and then making a guess, or an estimate, of the answer that these data points represent. This guess is then compared to the data points, and if it doesn't match exactly, the algorithm takes the difference between the guess and the data points, and makes a new guess based on this difference. This process keeps going until there is a match between the data points and the guess, at which point the algorithm has estimated the answer correctly.