A posteriori error estimates for the DD+L2 jumps method on the neutron diffusion equations

Patrick Ciarlet, Minh Hieu Do, Mario Gervais, François Madiot

Research output: Contribution to journalArticlepeer-review

Abstract

We analyze a posteriori error estimates for the discretization of the neutron diffusion equations with a Domain Decomposition Method, the so-called DD+L2 jumps method. We provide guaranteed and locally efficient estimators on a base block equation, the one-group neutron diffusion equation. Classically, one introduces a Lagrange multiplier to account for the jumps on the interface. This Lagrange multiplier is used for the reconstruction of the physical variables. Remarkably, no reconstruction of the Lagrange multiplier is needed to achieve the optimal a posteriori estimates.

Original languageEnglish
Pages (from-to)349-365
Number of pages17
JournalComputers and Mathematics with Applications
Volume195
DOIs
Publication statusPublished - 1 Oct 2025

Keywords

  • A posteriori error estimates
  • Diffusion equation
  • Domain decomposition
  • Low regularity solution
  • Mixed formulation
  • Neutronics

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