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dc.contributor.editorBrito, Alisson V.
dc.date.accessioned2021-04-20T14:54:58Z
dc.date.available2021-04-20T14:54:58Z
dc.date.issued2010
dc.identifierONIX_20210420_9789537619688_116
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64760
dc.description.abstractWhen talking about modelling it is natural to talk about simulation. Simulation is the imitation of the operation of a real-world process or systems over time. The objective is to generate a history of the model and the observation of that history helps us understand how the real-world system works, not necessarily involving the real-world into this process. A system (or process) model takes the form of a set of assumptions concerning its operation. In a model mathematical and logical assumptions are considered, and entities and their relationship are delimited. The objective of a model – and its respective simulation – is to answer a vast number of “what-if” questions. Some questions answered in this book are: What if the power distribution system does not work as expected? What if the produced ships were not able to transport all the demanded containers through the Yangtze River in China? And, what if an installed wind farm does not produce the expected amount of energyt? Answering these questions without a dynamic simulation model could be extremely expensive or even impossible in some cases and this book aims to present possible solutions to these problems.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematicsen_US
dc.subject.otherMathematical modelling
dc.titleDynamic Modelling
dc.typebook
oapen.identifier.doi10.5772/88
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789537619688
oapen.relation.isbn9789535154860
oapen.imprintIntechOpen
oapen.pages302


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