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Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science

dc.contributor.editorMode, Charles J.
dc.date.accessioned2021-04-20T15:05:23Z
dc.date.available2021-04-20T15:05:23Z
dc.date.issued2011
dc.identifierONIX_20210420_9789533074276_293
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64937
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.subject.classificationthema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides::UDX Computer games / online games: strategy guidesen_US
dc.subject.otherMathematical & statistical software
dc.titleApplications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science
dc.typebook
oapen.identifier.doi10.5772/634
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.hasChapter0f3e2f44-9ad3-4900-a190-c48abd5ec929
oapen.relation.isbn9789533074276
oapen.relation.isbn9789535155225
oapen.imprintIntechOpen
oapen.pages440


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Chapters in this book

  • Chapter 4 Applications of Monte Carlo Simulation in Modelling of Biochemical Processes
    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 ...
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