Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics) - Hardcover

Inhaltsangabe

<DIV><DIV>THIS BOOK PRESENTS THE FUNDAMENTAL NOTIONS AND ADVANCED MATHEMATICAL TOOLS IN THE STOCHASTIC MODELING OF UNCERTAINTIES AND THEIR QUANTIFICATION FOR LARGE-SCALE COMPUTATIONAL MODELS IN SCIENCES AND ENGINEERING. IN PARTICULAR, IT FOCUSES IN PARAMETRIC UNCERTAINTIES, AND NON-PARAMETRIC UNCERTAINTIES WITH APPLICATIONS FROM THE STRUCTURAL DYNAMICS AND VIBROACOUSTICS OF COMPLEX MECHANICAL SYSTEMS, FROM MICROMECHANICS AND MULTISCALE MECHANICS OF HETEROGENEOUS MATERIALS.&NBSP;</DIV><DIV><BR></DIV><DIV>RESULTING FROM A COURSE DEVELOPED BY THE AUTHOR, THE BOOK BEGINS WITH A DESCRIPTION OF THE FUNDAMENTAL MATHEMATICAL TOOLS OF PROBABILITY AND STATISTICS THAT ARE DIRECTLY USEFUL FOR UNCERTAINTY QUANTIFICATION. IT PROCEEDS WITH A WELL CARRIED OUT DESCRIPTION OF SOME BASIC AND ADVANCED METHODS FOR CONSTRUCTING STOCHASTIC MODELS OF UNCERTAINTIES, PAYING PARTICULAR ATTENTION TO THE PROBLEM OF CALIBRATING AND IDENTIFYING A STOCHASTIC MODEL OF UNCERTAINTY WHEN EXPERIMENTAL DATA IS AVAILABLE.&NBSP;</DIV><DIV><BR></DIV><DIV>THIS BOOK IS INTENDED TO BE A GRADUATE-LEVEL TEXTBOOK FOR STUDENTS AS WELL AS PROFESSIONALS INTERESTED IN THE THEORY, COMPUTATION, AND APPLICATIONS OF RISK AND PREDICTION IN SCIENCE AND ENGINEERING FIELDS.</DIV></DIV>

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.