Publications associées à Base de Schauder

Symplectic Model-Reduction with a Weighted Inner Product

Jan Sickmann Hesthaven, Babak Maboudi Afkham

In the recent years, considerable attention has been paid to preserving structures and invariants in reduced basis methods, in order to enhance the stability and robustness of the reduced system. In the context of Hamiltonian systems, symplectic model redu ...

2018

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming

Daniel Kuhn, John Lygeros, Peyman Mohajerin Esfahani, Tobias Sutter

We consider linear programming (LP) problems in infinite dimensional spaces that are in general computationally intractable. Under suitable assumptions, we develop an approximation bridge from the infinite-dimensional LP to tractable finite convex programs ...

2018

Participation as Relational Space: A Critical Approach to Analysing Participation in Sustainability Research

Claudia Rebeca Binder Signer, Livia Bianca Fritz

In the field of sustainability, scholars, and policy-makers herald the transformative power of participation in knowledge production. However, a discrepancy between these expectations and the limited understanding of the complex interactions constituting p ...

2018

MATHICSE Technical Report : An algebraic least squares reduced basis method for the solution of parametrized Stokes equations

Alfio Quarteroni, Simone Deparis, Andrea Manzoni, Niccolò Dal Santo

In this paper we propose a new, purely algebraic, Petrov-Galerkin reduced basis (RB) method to solve the parametrized Stokes equations, where parameters serve to identify the (variable) domain geometry. Our method is obtained as an algebraic least squares ...

MATHICSE2018

Reduced Basis Approximation And A Posteriori Error Estimates For Parametrized Elliptic Eigenvalue Problems

Andrea Manzoni, Nicola Parolini

We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized elliptic eigenvalue problems. The method hinges upon dual weighted residual type a posteriori error indicators which estimate, for any value of the paramete ...

Edp Sciences S A2016

MATHICSE Technical Report : An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

Alfio Quarteroni, Andrea Manzoni, Yvon Maday

We propose a new, black-box online stabilization strategy for reduced basis (RB) approx- imations of parameter-dependent advection-diffusion problems in the advection-dominated case. Our goal is to stabilize the RB problem irrespectively of the stabilizati ...

MATHICSE2016

An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

Alfio Quarteroni, Andrea Manzoni, Yvon Maday

We propose a new, black-box online stabilization strategy for reduced basis (RB) approximations of parameter-dependent advection-diffusion problems in the advection-dominated case. Our goal is to stabilize the RB problem irrespectively of the stabilization ...

Elsevier France-Editions Scientifiques Medicales Elsevier2016

MATHICSE Technical Report : Multi space reduced basis preconditioners for large-scale parametrized PDEs

Alfio Quarteroni, Simone Deparis, Andrea Manzoni, Niccolò Dal Santo

In this work we introduce a new two-level preconditioner for the efficient solution of large scale linear systems arising from the discretization of parametrized PDEs. The proposed preconditioner combines in a multiplicative way a reduced basis solver, whi ...

MATHICSE2016

Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries

Alfio Quarteroni, Gianluigi Rozza, Laura Iapichino

The aim of this work is to solve parametrized partial differential equations in computational domains represented by networks of repetitive geometries by combining reduced basis and domain decomposition techniques. The main idea behind this approach is to ...

Elsevier2016

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Base de Schauder

Symplectic Model-Reduction with a Weighted Inner Product

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming

Participation as Relational Space: A Critical Approach to Analysing Participation in Sustainability Research

MATHICSE Technical Report : An algebraic least squares reduced basis method for the solution of parametrized Stokes equations

Spline Shape Processing

Reduced Basis Approximation And A Posteriori Error Estimates For Parametrized Elliptic Eigenvalue Problems

MATHICSE Technical Report : An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

MATHICSE Technical Report : Multi space reduced basis preconditioners for large-scale parametrized PDEs

Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries

Graph Chatbot

Chattez avec Graph Search

Symplectic Model-Reduction with a Weighted Inner Product

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming

Participation as Relational Space: A Critical Approach to Analysing Participation in Sustainability Research

MATHICSE Technical Report : An algebraic least squares reduced basis method for the solution of parametrized Stokes equations

Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries

Reduced Basis Approximation And A Posteriori Error Estimates For Parametrized Elliptic Eigenvalue Problems

Spline Shape Processing

MATHICSE Technical Report : An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

MATHICSE Technical Report : Multi space reduced basis preconditioners for large-scale parametrized PDEs