02318nam0 2200505 i 450 VAN012340920230704120758.185N978331954339020190919d2017 |0itac50 baengCH|||| |||||Uncertainty quantificationan accelerated course with advanced applications in computational engineeringChristian SoizeChamSpringer2017xxii, 329 p.ill.24 cm001VAN00444742001 Interdisciplinary applied mathematics210 New York [etc.]Springer47VAN0235973Uncertainty quantification156047947-XXOperator theory [MSC 2020]VANC019759MF35-XXPartial differential equations [MSC 2020]VANC019763MF37-XXDynamical systems and ergodic theory [MSC 2020]VANC020363MF60-XXProbability theory and stochastic processes [MSC 2020]VANC020428MF15-XXLinear and multilinear algebra; matrix theory [MSC 2020]VANC020607MF62-XXStatistics [MSC 2020]VANC022998MFHigh Stochastic DimensionKW:KMCMC MethodsKW:KMaximum Entropy PrincipleKW:KModel UncertaintiesKW:KModel-parameter UncertaintiesKW:KNon-Gaussian Random FieldsKW:KNonparametric UncertaintiesKW:KPolynomial Chaos ExpansionKW:KRandom matricesKW:KRobust DesignKW:KStatistical inverse problemsKW:KCHChamVANL001889SoizeChristianVANV09481429246Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-319-54339-0E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0123409BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 0965 08eMF965 20190919 Uncertainty quantification1560479UNICAMPANIA