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dc.contributor.editorMode, Charles J.
dc.date.accessioned2025-03-08T11:36:56Z
dc.date.available2025-03-08T11:36:56Z
dc.date.issued2011
dc.date.submitted2017-04-12 23:55
dc.date.submitted2019-10-04 14:49:16
dc.date.submitted2020-04-01T13:38:50Z
dc.identifier627380
dc.identifierOCN: 743606924
dc.identifierhttp://library.oapen.org/handle/20.500.12657/31532
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/197569
dc.description.abstractThis volume is an eclectic mix of applications of Monte Carlo methods in many fields of research should not be surprising, because of the ubiquitous use of these methods in many fields of human endeavor. In an attempt to focus attention on a manageable set of applications, the main thrust of this book is to emphasize applications of Monte Carlo simulation methods in biology and medicine.
dc.languageEnglish
dc.rightsopen access
dc.subject.othermonte carlo methods
dc.subject.otherthema EDItEUR::M Medicine and Nursing
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science
dc.titleApplications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science
dc.typebook
oapen.identifier.doi10.5772/634
oapen.relation.isPublishedBy035ecc65-6737-43cf-a13a-6bdf67ce01f4
oapen.relation.hasChapter06fb622b-c798-4dfa-961c-88f8345278a6
oapen.relation.isbn9789533074276


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Chapters in this book

  • Tenekedjiev, Kiril Ivanov; Nikolova, Natalia Danailova; Kolev, Krasimir; Ivanov, Kiril; Danailova, Natalia; Kolev, Krasimir (2012)
    The biochemical models describing complex and dynamic metabolic systems are typically multi-parametric and non-linear, thus the identification of their parameters requires nonlinear regression analysis of the experimental ...