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A multigrid method for PDE-constrained optimization with uncertain inputs

Related publications (40)

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A quasi-dynamic capacity constrained frequency-based transit assignment model

This paper presents a first approach to dynamic frequency-based transit assignment. As such the model aims to close the gap between schedule-based and frequency-based models. Frequency-based approaches have some advantages compared to schedule-based models ...

Elsevier2008

Fountain codes for piecewise stationary channels

Mohammad Amin Shokrollahi, Bertrand Ndzana Ndzana

In this paper, two fixed per-information symbol complexity lossless source coding algorithms are modified for estimation and incremental LT decoding over piecewise stationary memoryless channels (PSMC's) with a bounded number of abrupt changes in channel s ...

IEEE2008

Annotations of maps in collaborative work at a distance

Mauro Cherubini

This thesis inquires how map annotations can be used to sustain remote collaboration. Maps condense the interplay of space and communication, solving linguistic references by linking conversational content to the actual places to which it refers. This is a ...

EPFL2008

Approximating the Gaussian multiple description rate region under symmetric distortion constraints

Suhas Diggavi

We consider multiple description coding for the Gaussian source with K descriptions under the symmetric mean squared error distortion constraints. One of the main contributions is a novel lower bound on the sum rate, derived by generalizing Ozarow’s well-k ...

2008

A stochastic collocation method for elliptic partial differential equations with random input data

Fabio Nobile

In this paper we propose and analyze a stochastic collocation method to solve elliptic partial differential equations with random coefficients and forcing terms ( input data of the model). The input data are assumed to depend on a finite number of random v ...

Society for Industrial and Applied Mathematics2007

Reliability of computational science

Fabio Nobile

Today's computers allow us to simulate large, complex physical problems. Many times the mathematical models describing such problems are based on a relatively small amount of available information such as experimental measurements. The question arises whet ...

Wiley-Blackwell2007

A tutorial on (Bayesian) probability

Claudio Mattiussi

The aim of this tutorial is to show that, when properly formulated, probability theory is simply the science of plausible reasoning, which permits us to represent exactly and to update our state of information about the world. This is nothing new, since in ...

2005

Gracefully Degrading Fair Exchange with Security Modules

Rachid Guerraoui, Gildas Avoine

The fair exchange problem is key to trading electronic items in systems of mutually untrusted parties. In modern variants of such systems, each party is equipped with a tamper proof security module. The security modules trust each other but can only commun ...

2004

From error probability to information theoretic signal and image processing

Torsten Butz

The signal processing community is increasingly interested in using information theoretic concepts to build signal processing algorithms for a variety of applications. A general theory on how to apply the mathematical concepts of information theory to the ...

EPFL2003

Synchrotron spectromicroscopy of cobalt accumulation in granule cells, glial cells and GABAergic neurons

Giorgio Margaritondo

Recent neurobiophysics experiments based on synchrotron spectromicroscopy indicated that aluminium is selectively accumulated by GABAergic neurons and glial cells rather than by granule cells. Does a similar cell specificity occur in the accumulation of ot ...

1996