Editing Monte Carlo method (section)

===Search and rescue===
The [[US Coast Guard]] utilizes Monte Carlo methods within its computer modeling software [[SAROPS]] in order to calculate the probable locations of vessels during [[search and rescue]] operations. Each simulation can generate as many as ten thousand data points that are randomly distributed based upon provided variables.<ref>{{cite web|url=http://insights.dice.com/2014/01/03/how-the-coast-guard-uses-analytics-to-search-for-those-lost-at-sea |title=How the Coast Guard Uses Analytics to Search for Those Lost at Sea |work=Dice Insights |date=January 3, 2014}}</ref> Search patterns are then generated based upon extrapolations of these data in order to optimize the probability of containment (POC) and the probability of detection (POD), which together will equal an overall probability of success (POS). Ultimately this serves as a practical application of [[probability distribution]] in order to provide the swiftest and most expedient method of rescue, saving both lives and resources.<ref>{{cite web|url=http://www.ifremer.fr/web-com/sar2011/Presentations/SARWS2011_STONE_L.pdf |title=Search Modeling and Optimization in USCG's Search and Rescue Optimal Planning System (SAROPS) |author-first1=Lawrence D. |author-last1=Stone |author-first2=Thomas M. |author-last2=Kratzke |author-first3=John R. |author-last3=Frost |website=Ifremer.fr |access-date=October 28, 2017}}</ref>