Recherche

Afficher tous les résultats pour

Accueil

Concept

Opérateur (mathématiques)

Science formelle
Mathématiques
Analyse (mathématiques)
Équation différentielle

Publications associées (22)

Page 2 sur 3

À propos
Confidentialité
Mentions légales

Graph Chatbot

Procrustes Metrics and Optimal Transport for Covariance Operators

Valentina Masarotto

Covariance operators play a fundamental role in functional data analysis, providing the canonical means to analyse functional variation via the celebrated Karhunen-Loève expansion. These operators may themselves be subject to variation, for instance in con ...

EPFL2019

Spinning operators and defects in conformal field theory

Marco Meineri

We study the kinematics of correlation functions of local and extended operators in a conformal field theory. We present a new method for constructing the tensor structures associated to primary operators in an arbitrary bosonic representation of the Loren ...

Springer Nature2019

Teleoperation with a wearable sensor system

David Atienza Alonso, Dario Floreano, Silvestro Micera, Stefano Mintchev, Jenifer Cléa Miehlbradt, Fiorenzo Artoni, Martina Coscia, Fabio Isidoro Tiberio Dell'Agnola, Alexandre Thierry Cherpillod

A method for remotely controlling an operated unmanned object, comprises defining of a set of control movements of an operator; selecting of minimal necessary signals to reliably acquire the operator's control movements; defining of a mapping of the contro ...

2019

Quantification Of Resting-State Fmri Networks Driven By Hemodynamically Informed Spatiotemporal Regularization

Dimitri Nestor Alice Van De Ville, Fikret Isik Karahanoglu, Younes Farouj

The brain's spontaneous fluctuations measured by functional magnetic resonance imaging during rest cluster into recurrent activity patterns known as resting-state networks (RSNs). The spatial organization of RSNs in health and disease has been immensely in ...

IEEE2018

Stochastic partial differential equations driven by Lévy white noises : generalized random processes, random field solutions and regularity

Thomas Marie Jean-Baptiste Humeau

We study various aspects of stochastic partial differential equations driven by Lévy white noise. This driving noise, which is a generalization of Gaussian white noise, can be viewed either as a generalized random process or as an independently scattered r ...

EPFL2017

First-order expansion of homogenized coefficients under Bernoulli perturbations

Jean-Christophe Mourrat

Divergence-form operators with stationary random coefficients homogenize over large scales. We investigate the effect of certain perturbations of the medium on the homogenized coefficients. The perturbations considered are rare at the local level, but when ...

Gauthier-Villars/Editions Elsevier2015

On the eigenvalue decay of solutions to operator Lyapunov equations

Daniel Kressner

This paper is concerned with the eigenvalue decay of the solution to operator Lyapunov equations with right-hand sides of finite rank. We show that the kth (generalized) eigenvalue decays exponentially in root k, provided that the involved operator A gener ...

Elsevier Science Bv2014

Phase properties of operator valued measures in phase space

Vivishek Sudhir

The Wigner phase operator (WPO) is identified as an operator valued measure (OVM) and its eigenstates are obtained. An operator satisfying the canonical commutation relation with the Wigner phase operator is also constructed and this establishes a Wigner d ...

Taylor & Francis Ltd2013

Effect Analysis for Programs with Callbacks

Viktor Kuncak, Etienne Kneuss, Philippe Paul Henri Suter

We introduce a precise interprocedural effect analysis for programs with mutable state, dynamic object allocation, and dynamic dispatch. Our analysis is precise even in the presence of dynamic dispatch where the context-insensitive estimate on the number o ...

Springer Berlin Heidelberg2013

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Matthias Seeger, Andreas Krause

Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is either sampled from a Gaussian process (GP) or has low norm in a reproducing ...

Institute of Electrical and Electronics Engineers2012