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Exact local finite Riesz solves for practical DPG tests
Definition
Inputs: A finite-dimensional real graph-test space presented as , an ordered finite generating family (not assumed independent), a trial datum , the graph inner product , and the linear functional on .
Output: Either a vector in or the status singular-test-matrix.
Admissible conditions: ; all entries are real and exact; is defined and linear on . The Gram entries and functional values are evaluated exactly. No quadrature or rounded solve is part of this procedure.
Instructions:
- Form and exactly.
- Initialize and compute an unpivoted symmetric factorization in the listed order. At pivot , set
If , return
singular-test-matrix. Otherwise set and - Solve , , and exactly, and return . For , return the zero vector of .
Depends on
Used by
- A smaller constant test space gives a nontrivial practical DPG kernel Counterexample
- An explicit finite model separates ideal and practical test vectors Example
- Exact DPG stability does not certify quadrature or algebraic solve errors Remark
- Fortin stability and quasi-optimality for practical DPG Theorem
Dependency tree · two levels
13 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Jay Gopalakrishnan and Weifeng Qiu, An analysis of the practical DPG method (standard reference, not scraped)
- Leszek Demkowicz and Jay Gopalakrishnan, Analysis of the DPG method for the Poisson equation (standard reference, not scraped)
- Leszek Demkowicz, Mathematical Theory of Finite Elements (standard reference, not scraped)
- C. Carstensen, L. Demkowicz, and J. Gopalakrishnan, A Posteriori Error Control for DPG Methods (standard reference, not scraped)