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Processos estocàstics aplicats a teoria de cues

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dc.contributor Sanz-Solé, Marta
dc.creator Gnutti Sandiumenge, Gerard
dc.date 2018-12-14T11:45:31Z
dc.date 2018-12-14T11:45:31Z
dc.date 2018-06-27
dc.date.accessioned 2024-12-16T10:27:11Z
dc.date.available 2024-12-16T10:27:11Z
dc.identifier http://hdl.handle.net/2445/126969
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/22009
dc.description Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Marta Sanz
dc.description [en] There are many situations where we want to model a certain phenomenon but it’s impossible to know exactly its evolution over time. For example, we can’t find a differential equation to model the position of a pollen grain suspended in water. It is considered that these phenomena follow a certain randomness. As it is not useful to model it using deterministic models, we need stochastic tools. The purpose of this work is to introduce us in stochastic modeling. We’ll do it by studying a specific case where stochastic models are used, queuing theory.
dc.format 56 p.
dc.format application/pdf
dc.language cat
dc.rights cc-by-nc-nd (c) Gerard Gnutti Sandiumenge, 2018
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Matemàtiques
dc.subject Teoria de cues
dc.subject Processos estocàstics
dc.subject Processos de Markov
dc.subject Treballs de fi de grau
dc.subject Queuing theory
dc.subject Stochastic processes
dc.subject Markov processes
dc.subject Bachelor's theses
dc.title Processos estocàstics aplicats a teoria de cues
dc.type info:eu-repo/semantics/bachelorThesis


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