Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 41 min ago
PreprintLicence not statedHAL

Key challenges and bridges among convergence analysis techniques for polytopal methods

Related

  1. poly_rust: a domain-specific language for polytopal methods with a Rust interpreter
    Daniele A. Di Pietro
    arXivPreprintCC BY-NC-ND 4.0Full textNumerical analysis & scientific computingarXiv
  2. Diffusion Approximations to Schrödinger Bridges and the Convergence of Entropic Potentials
    Garrett Mulcahy, Soumik Pal
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  3. Comparative Analysis of Microgrid Control Techniques using Variance-Based Methods
    Khaled Belhouchet, Abdelhakim Idir, Assam Zorig +3
    Reliability: Theory & ApplicationsPeer-reviewedCC BY-NCFull textGeneral mathematicsDOAJ
  4. Mini-Batch Pruning Techniques in Stochastic Gradient Descent Methods
    Roberto Cavoretto, Alessandra De Rossi, Enrico Scibilia
    MathematicsPeer-reviewedCC BY 4.0General mathematicsCrossref
  5. On The Linear Convergence of Bregman Proximal Gradient Methods with Applications to Kullback--Leibler regression
    Jonathan Chirinos-Rodríguez, Christian Daniele, Cédric Févotte +1
    HALPreprintLicence not statedOptimisation & controlHAL
BibTeX
@misc{veiga2026challenges,
  title = {{Key challenges and bridges among convergence analysis techniques for polytopal methods}},
  author = {Lourenço Beirão da Veiga and Daniele A. Di Pietro and Jérôme Droniou},
  howpublished = {HAL},
  year = {2026},
  month = may,
  eprint = {2605.23405},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05765171v1},
}
RIS
TY  - UNPB
TI  - Key challenges and bridges among convergence analysis techniques for polytopal methods
AU  - Lourenço Beirão da Veiga
AU  - Daniele A. Di Pietro
AU  - Jérôme Droniou
PY  - 2026
DA  - 2026/05/22
PB  - HAL
UR  - https://hal.science/hal-05765171v1
ER  -