Verwandte Artikel zu Advances in High-Order Predictive Modeling: Methodologies...
Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems (Advances in Applied Mathematics) - Hardcover
Inhaltsangabe
Continuing the author's previous work on modeling, this book presents the most recent advances in high-order predictive modeling.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Dan Gabriel Cacuci is a Distinguished Professor Emeritus in the Department of Mechanical Engineering at the University of South Carolina and the Karlsruhe Institute of Technology, Germany. He received his PhD in applied physics, mechanical and nuclear engineering from Columbia University. He is also the recipient of many awards including four honorary doctorates, the Ernest Orlando Lawrence Memorial award from the U.S. Deptartment of Energy and the Arthur Holly Compton, Eugene P. Wigner and the Glenn Seaborg Awards from the American Nuclear Society. He was named an “Inaugural Highly Ranked Scholar” by Scholar GPS, being ranked #2 in the world in the field of Uncertainty Analysis, #5 in the world in the field of Sensitivity Analysis, and ranked in the top 0.05% of all scholars worldwide.
This is Dr. Cacuci’s fifth book for CRC Press. The others include, The Second-Order Adjoint Sensitivity Analysis Methodology (2018); Computational Methods for Data Evaluation and Assimilation with Ionel Michael Navon and Mihaela Ionescu-Bujor (2013); Sensitivity and Uncertainty Analysis, Volume I Applications to Large-Scale Systems (2003) and Volume II (2005) also with Mihaela Ionescu-Bujor and Michael Navon.
.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 143,79
EUR 7,44 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & DauerSuchergebnisse für Advances in High-Order Predictive Modeling: Methodologies...
Beispielbild für diese ISBN
Advances in High-order Predictive Modelling: Methodologies and Illustrative Problems
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 396266889
Anzahl: 3 verfügbar
Beispielbild für diese ISBN
Advances in High-order Predictive Modelling : Methodologies and Illustrative Problems
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 47828565-n
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Advances in High-Order Predictive Modeling (Hardcover)
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: new. Hardcover. Continuing the authors previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author begins with the mathematical framework of the 2nd-BERRU-PM methodology, an acronym that designates the second-order best-estimate with reduced uncertainties (2nd-BERRU) predictive modeling (PM). The 2nd-BERRU-PM methodology is fundamentally anchored in physics-based principles stemming from thermodynamics (maximum entropy principle) and information theory, being formulated in the most inclusive possible phase-space, namely the combined phase-space of computed and measured parameters and responses.The 2nd-BERRU-PM methodology provides second-order output (means and variances) but can incorporate, as input, arbitrarily high-order sensitivities of responses with respect to model parameters, as well as arbitrarily high-order moments of the initial distribution of uncertain model parameters, in order to predict best-estimate mean values for the model responses (i.e., results of interest) and calibrated model parameters, along with reduced predicted variances and covariances for these predicted responses and parameters. Continuing the authors previous work on modeling, this book presents the most recent advances in high-order predictive modeling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781032740560
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Advances in High-order Predictive Modelling : Methodologies and Illustrative Problems
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 47828565
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Advances in High-order Predictive Modelling: Methodologies and Illustrative Problems
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. 1st edition NO-PA16APR2015-KAP. Bestandsnummer des Verkäufers 26401158742
Anzahl: 3 verfügbar
Beispielbild für diese ISBN
Advances in High-Order Predictive Modeling
Print-on-DemandAnbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L1-9781032740560
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Advances in High-Order Predictive Modeling
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L1-9781032740560
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Advances in High-order Predictive Modelling : Methodologies and Illustrative Problems
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 47828565-n
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Advances in High-Order Predictive Modeling (Hardcover)
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: new. Hardcover. Continuing the authors previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author begins with the mathematical framework of the 2nd-BERRU-PM methodology, an acronym that designates the second-order best-estimate with reduced uncertainties (2nd-BERRU) predictive modeling (PM). The 2nd-BERRU-PM methodology is fundamentally anchored in physics-based principles stemming from thermodynamics (maximum entropy principle) and information theory, being formulated in the most inclusive possible phase-space, namely the combined phase-space of computed and measured parameters and responses.The 2nd-BERRU-PM methodology provides second-order output (means and variances) but can incorporate, as input, arbitrarily high-order sensitivities of responses with respect to model parameters, as well as arbitrarily high-order moments of the initial distribution of uncertain model parameters, in order to predict best-estimate mean values for the model responses (i.e., results of interest) and calibrated model parameters, along with reduced predicted variances and covariances for these predicted responses and parameters. Continuing the authors previous work on modeling, this book presents the most recent advances in high-order predictive modeling. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781032740560
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Advances in High-Order Predictive Modelling: Methodologies and Illustrative Problem
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. 716. Bestandsnummer des Verkäufers B9781032740560
Anzahl: 1 verfügbar