about
A reduced computational and geometrical framework for inverse problems in hemodynamics.Model reduction techniques for fast blood flow simulation in parametrized geometries.Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD–Galerkin method and a vascular shape parametrizationReduced Basis Methods for Partial Differential EquationsSupremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equationsBoundary control and shape optimization for the robust design of bypass anastomoses under uncertaintyReduced Basis Method for Parametrized Elliptic Optimal Control ProblemsComputational Reduction for Parametrized PDEs: Strategies and ApplicationsShape optimization for viscous flows by reduced basis methods and free-form deformationCertified reduced basis approximation for parametrized partial differential equations and applicationsReduction Strategies for Shape Dependent Inverse Problems in HaemodynamicsOn the approximation of stability factors for general parametrized partial differential equations with a two-level affine decompositionReduced Basis Approximation for Shape Optimization in Thermal Flows with a Parametrized Polynomial Geometric Map
P50
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P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Andrea Manzoni
@ast
Andrea Manzoni
@en
Andrea Manzoni
@es
Andrea Manzoni
@nl
type
label
Andrea Manzoni
@ast
Andrea Manzoni
@en
Andrea Manzoni
@es
Andrea Manzoni
@nl
prefLabel
Andrea Manzoni
@ast
Andrea Manzoni
@en
Andrea Manzoni
@es
Andrea Manzoni
@nl
P214
P244
P106
P1153
36806591400
P214
P244
no2015132064
P31
P496
0000-0001-8277-2802
P734
P735
P7859
lccn-no2015132064