X hits on this document

91 views

0 shares

0 downloads

0 comments

4 / 25

the idea behind a Monte Carlo simulation

Many systems cannot be described by equations

Many equations can not be solved

We forget about finding a solution and compile all the possible solutions and determine their probabilities

We take the solution of the highest probability

This works for systems with many individual components, because on average, they will all behave like the solution of the largest probability

We are interested in the average behavior, the most common behavior, because that’s what is predictable or controllable

Monte Carlo methods are statistical methods to find solutions of high probability

Document info
Document views91
Page views102
Page last viewedWed Jan 18 18:23:23 UTC 2017
Pages25
Paragraphs247
Words1334

Comments