Publications related to Locally convex topological vector space

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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

Locally convex topological vector space

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Safe Convex Learning under Uncertain Constraints

Some regularity results for p-harmonic mappings between Riemannian manifolds

Generalized convex hull construction for materials discovery

Stochastic Three-Composite Convex Minimization with a Linear Operator

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

Approximating Steiner trees and forests with minimum number of Steiner points

Characterizations of Two Channel Orderings: Input-Degradedness and the Shannon Ordering

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

Non-Discriminatory Machine Learning through Convex Fairness Criteria

Some regularity results for p-harmonic mappings between Riemannian manifolds

Safe Convex Learning under Uncertain Constraints

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

Stochastic Three-Composite Convex Minimization with a Linear Operator

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

Generalized convex hull construction for materials discovery

Characterizations of Two Channel Orderings: Input-Degradedness and the Shannon Ordering

Approximating Steiner trees and forests with minimum number of Steiner points

Non-Discriminatory Machine Learning through Convex Fairness Criteria

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method