Uncertainty Quantification and Model Calibration - Couverture souple

Couverture souple

ISBN 10 : 9535132792 ISBN 13 : 9789535132790

Editeur : InTechOpen, 2017

Synopsis

Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating.

Détails de l'édition

• Éditeur: InTechOpen
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 9535132792
• ISBN 13: 9789535132790
• Reliure: Broché
• Nombre de pages: 224
• Éditeur: Hessling Jan Peter
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible