Publications related to Variational principle

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

Abstract Tolerance analysis is an important step to validate assembly process planning scenario. Simulations are generally performed to evaluate the expected geometrical variations of the assembled product. When the simulation models take into account part ...

2013

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

Loïc Andolfatto

Tolerance analysis is an important step to validate assembly process planning scenario. Simulations are generally performed to evaluate the expected geometrical variations of the assembled product. When the simulation models take into account part complian ...

2013

Euler-Poincare Formulation Of Hybrid Plasma Models

Cesare Tronci

Three different hybrid Vlasov-fluid systems are derived by applying reduction by symmetry to Hamilton's variational principle. In particular, the discussion focuses on the Euler-Poincare formulation of three major hybrid MHD models, which are compared in t ...

2012

Background-free imaging of plasmonic structures with cross-polarized apertureless scanning near-field optical microscopy

Klaus Kern, Moritz Esslinger

We present advances in experimental techniques of apertureless scanning near-field optical microscopy (aSNOM). The rational alignment procedure we outline is based upon a phase singularity that occurs while scanning polarizers around the nominal cross-pola ...

2012

A High–Performance Parallel Implementation of the Chambolle Algorithm

David Atienza Alonso, Abdulkadir Akin, Ivan Beretta, Alessandro Antonio Nacci

The determination of the optical flow is a central problem in image processing, as it allows to describe how an image changes over time by means of a numerical vector field. The estimation of the optical flow is however a very complex problem, which has be ...

ACM and IEEE Press2011

A New Hybrid Bayesian-Variational Particle Filter With Application To Mitotic Cell Tracking

Michaël Unser, Ricard Delgado Gonzalo

Tracking algorithms are traditionally based on either a variational approach or a Bayesian one. In the variational case, a cost function is established between two consecutive frames and minimized by standard optimization algorithms. In the Bayesian case, ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

A New Hybrid Bayesian-Variational Particle Filter with Application to Mitotic Cell Tracking

Michaël Unser, Ricard Delgado Gonzalo

Tracking algorithms are traditionally based on either a variational approach or a Bayesian one. In the variational case, a cost function is established between two consecutive frames and minimized by standard optimization algorithms. In the Bayesian case, ...

IEEE2011

Vison excitations in near-critical quantum dimer models

Dmitri Ivanov

We study vison excitations in a quantum dimer model interpolating between the Rokhsar-Kivelson models on the square and triangular lattices. In the square-lattice case, the model is known to be critical and characterized by U(1) topological quantum numbers ...

2011

Introduction to Geometric Mechanics and AVI

Yves Weinand, Tudor Ratiu, François Marie Alain Demoures

The goal of this short presentation is to introduce Geometric Mechanics as well as Asynchronous Variational Integrators (AVI). The geometric point of view in mechanics combined with solid analysis has been a phenomenal success in linking various diverse ar ...

2010

An optimal first-order solver for the TV-$L_1$ optical flow problem

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo

In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

L_1

norm data fidelity constraint using a variational method. We build upon Nesterov's framework for ...

2010

Variational principle

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On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

Euler-Poincare Formulation Of Hybrid Plasma Models

Background-free imaging of plasmonic structures with cross-polarized apertureless scanning near-field optical microscopy

A High–Performance Parallel Implementation of the Chambolle Algorithm

A New Hybrid Bayesian-Variational Particle Filter With Application To Mitotic Cell Tracking

A New Hybrid Bayesian-Variational Particle Filter with Application to Mitotic Cell Tracking

Vison excitations in near-critical quantum dimer models

Introduction to Geometric Mechanics and AVI

An optimal first-order solver for the TV-$L_1$ optical flow problem

Euler-Poincare Formulation Of Hybrid Plasma Models

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

A High–Performance Parallel Implementation of the Chambolle Algorithm

Background-free imaging of plasmonic structures with cross-polarized apertureless scanning near-field optical microscopy

A New Hybrid Bayesian-Variational Particle Filter with Application to Mitotic Cell Tracking

A New Hybrid Bayesian-Variational Particle Filter With Application To Mitotic Cell Tracking

Vison excitations in near-critical quantum dimer models

An optimal first-order solver for the TV-$L_1$ optical flow problem

Introduction to Geometric Mechanics and AVI