0638001 20250902082644.720250812235959.9 105002901919 10.1007/s43069-025-00452-x 13 s. E cav_un_epca*0638000266225566 Search and rescue Optimal search Discrete probability Bayes rule cav_un_auth*0101227 Volf Petr UTIA-B Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics 100 Ústav teorie informace a automatizace AV ČR, v. v. i. https://library.utia.cas.cz/separaty/2025/SI/volf-0638001.pdf https://link.springer.com/article/10.1007/s43069-025-00452-x This paper deals with a simple probabilistic description of some issues related to searching for a missing person.They concern at least two interesting points of the application of mathematics in managerial decision-making. First, we propose the use of Bayes’ rule to recalculate the probability of a lost person location based on additional information. Next, the optimal ordering of searched areas is determined that minimizes the average (expected) search time. Finally, the proposed solutions is illustrated with several artificial examples. SCOPUS BB 10000 10100 10102 2026 1 RVO:67985556 https://hdl.handle.net/11104/0369142 S 52 A 2025 105002901919 SCOPUS PUBMED WOS cav_un_epca*0638000 Operations Research Forum 6 2 2025 26622556