Rozza, Gianluigi.
Overview
| Works: | 1 works in 7 publications in 1 languages | |
|---|---|---|
Titles
Certified reduced basis methods for parametrized partial differential equations
by:
Hesthaven, Jan S.; Rozza, Gianluigi.; SpringerLink (Online service); Stamm, Benjamin.
(Electronic resources)
Reduced order methods for modeling and computational reduction
by:
Quarteroni, Alfio.; Rozza, Gianluigi.; SpringerLink (Online service)
(Electronic resources)
Reduction, approximation, machine learning, surrogates, emulators and simulatorsRAMSES /
by:
Rozza, Gianluigi.; SpringerLink (Online service)
(Electronic resources)
Modeling of physiological flows
by:
Ambrosi, Davide.; Quarteroni, Alfio.; Rozza, Gianluigi.; SpringerLink (Online service)
(Electronic resources)
Real time reduced order computational mechanicsparametric PDEs worked out problems /
by:
Rozza, Gianluigi.; SpringerLink (Online service)
(Electronic resources)
Quantification of uncertaintyimproving efficiency and technology : QUIET selected contributions /
by:
(1998 :); D'Elia, Marta.; Gunzburger, Max.; Rozza, Gianluigi.; SpringerLink (Online service)
(Electronic resources)
Model order reduction and applicationsCetraro, Italy 2021 /
by:
(1998 :); Falcone, Maurizio.; Hinze, Michael.; Rozza, Gianluigi.; SpringerLink (Online service)
(Electronic resources)
Subjects
Computer Appl. in Life Sciences.
Appl.Mathematics/Computational Methods of Engineering.
Biomedical Engineering.
Applications of Mathematics.
Differential equations.
Numerical Analysis.
Differential Equations.
Computer simulation.
Uncertainty (Information theory)
Cardiovascular system
Mathematics.
Numerical and Computational Physics.
Approximation theory.
Hemodynamics
Human Physiology.
Numeric Computing.
Continuum Mechanics and Mechanics of Materials.
Mathematical and Computational Engineering.
Computational Mathematics and Numerical Analysis.
Partial Differential Equations.
Machine Learning.
Mathematical Modeling and Industrial Mathematics.
Theoretical, Mathematical and Computational Physics.
Differential equations, Partial
Simulation and Modeling.
Mathematical models.
Machine learning.
Mechanics
Body fluid flow
Differential equations, Partial.