Advanced & Applied Topics · Operations Research & Optimization

Operations research: discrete event simulation and Monte Carlo methods

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Operations Research · Doctoral Level

Overview

Topics covered

  • Introduction
  • Discrete Event Simulation and Monte Carlo Methods
  • Philosophy of Stochastic Simulation
  • Taxonomy and Limits of Mathematical Modeling
  • Generation of Pseudorandom Numbers and Stochastic Variables
  • Pseudorandom Number Generation Algorithm

Related concepts

Main connections

  • Monte Carlo simulation
  • Variance & standard deviation
  • Mean & expected value
  • Calculus & differentiation
  • Poisson distribution
  • Confidence interval

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Xn+1=(aXn+c)(modm)
View LaTeX sourceX_{n+1} = (a X_n + c) \pmod{m}