Sampling, approximation, and interpolation of differential forms by admissible integral k-meshes

Abstract In this work, we introduce the concept of admissible integral k -mesh for sampling differential forms with continuous coefficients on a real body $$E\\subset \\mathbb {R}^n$$ E ⊂ R n , and provide two techniques for the construction of admissible integral k -meshes on real bodies enjoying the Markov or the Bernstein inequality. Admissible integral k -meshes allow for the construction of robust approximation schemes, and are used to extract interpolation sets with high stability properties. To this end, the concepts of Fekete currents and Leja sequences of currents are formalized, and a numerical scheme for their approximation is proposed.

Authors

Institutions

Publication Details

Journal
Advances in Computational Mathematics
Published
2026-09-15
DOI
https://doi.org/10.1007/s10444-026-10343-2
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Sampling, approximation, and interpolation of differential forms by admissible integral k-meshes

Ludovico Bruni Bruno, Federico Piazzon
Advances in Computational Mathematics
Probabilistic and Robust Engineering Design
article

Sampling, approximation, and interpolation of differential forms by admissible integral k-meshes

Ludovico Bruni Bruno, Federico Piazzon
article en

Abstract

Abstract In this work, we introduce the concept of admissible integral k -mesh for sampling differential forms with continuous coefficients on a real body $$E\subset \mathbb {R}^n$$ E ⊂ R n , and provide two techniques for the construction of admissible integral k -meshes on real bodies enjoying the Markov or the Bernstein inequality. Admissible integral k -meshes allow for the construction of robust approximation schemes, and are used to extract interpolation sets with high stability properties. To this end, the concepts of Fekete currents and Leja sequences of currents are formalized, and a numerical scheme for their approximation is proposed.

Advances in Computational MathematicsVol. 52(5)
University of Padua (IT), Politecnico di Torino (IT)
Reduced inequalities
Openalex Percentile: Top 8%
Probabilistic and Robust Engineering Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.