{"data":{"markdownRemark":{"html":"<h2 id=\"monte-carlo-modelling\"><a href=\"#monte-carlo-modelling\" aria-hidden=\"true\" class=\"anchor\"><svg aria-hidden=\"true\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>Monte Carlo Modelling</h2>\n<p>Agent-Based Models may require that a set of Monte Carlo simulations be executed for the purposes of uncertainty and scenario analysis. Monte Carlo simulations generate a distribution of results based on a given set of conditions or seeds.</p>\n<h2 id=\"monte-carlos-in-the-sdk\"><a href=\"#monte-carlos-in-the-sdk\" aria-hidden=\"true\" class=\"anchor\"><svg aria-hidden=\"true\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>Monte Carlos in the SDK</h2>\n<p>The Simudyne SDK is designed to allow modellers / developers to run Monte Carlo simulations without having to change a line of their code.</p>\n<p>When running large sets of Monte Carlo simulations, a sequential running of those simulations might take an undesirable amount of time to generate results.</p>\n<p>Modellers can distribute their Monte Carlo simulations using Spark to improve the runtime of their simulations and time to results.</p>\n<p>More information on setting up large batch runs can be found in <a href=\":version/reference/distributed_computation\">Distributed Computation</a>.</p>","headings":[{"value":"Monte Carlo Modelling","depth":2},{"value":"Monte Carlos in the SDK","depth":2}],"frontmatter":{"title":"Monte Carlo","toc":true,"experimental":null}},"site":{"siteMetadata":{"title":"Simudyne Docs","latestVersion":"2.6"}}},"pageContext":{"absolutePath":"/home/vsts/work/1/s/content/2.5/docs/features/monte-carlo.md","versioned":true,"version":"2.5","kind":"docs","pagePath":"/features/monte-carlo","chronology":{"prev":{"name":"Run & Deploy","path":"/features/run-deploy"},"next":{"name":"Distributed Modelling","path":"/features/distribution"}},"lastUpdated":"2026-04-21T13:56:54.855Z"}}