Publications related to Calculus of variations

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Non-local Functionals Related to the Total Variation and Connections with Image Processing

Hoài-Minh Nguyên

We present new results concerning the approximation of the total variation,

\int_{\Omega} |\nabla u|

, of a function

u

by non-local, non-convex functionals of the form $$ \Lambda_\delta u = \int_{\Omega} \int_{\Omega} \frac{\delta \varphi \big( |u(x) - ...

2018

Calculus of variations

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MULTIPLICITY AND CONCENTRATION RESULTS FOR SOME NONLINEAR SCHRODINGER EQUATIONS WITH THE FRACTIONAL p-LAPLACIAN

Non-local Functionals Related to the Total Variation and Connections with Image Processing

An artificial neural network as a troubled-cell indicator

SENSITIVITY ANALYSIS OF A PATIENT SPECIFIC FINITE ELEMENT MODEL FOR SHOULDER ARTHOPLASTY

Verification of Gyrokinetic codes: Theoretical background and applications

A multisymplectic integrator for elastodynamic frictionless impact problems

MATHICSE Technical Report : Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

GlobalBioIm: A Unifying Computational Framework for Solving Inverse Problems

Discovering Structured Variations Via Template Matching

A multisymplectic integrator for elastodynamic frictionless impact problems

MULTIPLICITY AND CONCENTRATION RESULTS FOR SOME NONLINEAR SCHRODINGER EQUATIONS WITH THE FRACTIONAL p-LAPLACIAN

Verification of Gyrokinetic codes: Theoretical background and applications

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Non-local Functionals Related to the Total Variation and Connections with Image Processing

SENSITIVITY ANALYSIS OF A PATIENT SPECIFIC FINITE ELEMENT MODEL FOR SHOULDER ARTHOPLASTY

An artificial neural network as a troubled-cell indicator

MATHICSE Technical Report : Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method

GlobalBioIm: A Unifying Computational Framework for Solving Inverse Problems

Discovering Structured Variations Via Template Matching