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Record W7133037821

Provably Stable Discontinuous Spectral-Element Methods with the Summation-by-Parts Property: Unified Matrix Analysis and Efficient Tensor-Product Formulations on Curved Simplices

2024· dissertation· W7133037821 on OpenAlexfundno aff
Tristan Montoya

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldEngineering
TopicAdvanced Numerical Methods in Computational Mathematics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsCurvilinear coordinatesDiscretizationDiscontinuous Galerkin methodNonlinear systemConservation lawTetrahedronPartial differential equationLinear systemNumerical analysis
DOInot available

Abstract

fetched live from OpenAlex

Discontinuous spectral-element methods (DSEMs) provide a flexible high-order spatial discretization approach for time-dependent conservation laws, but are traditionally regarded as lacking robustness relative to conventional second-order numerical methods for such partial differential equations. This thesis describes a unifying matrix analysis framework based on the summation-by-parts (SBP) property for the construction and analysis of DSEMs which are provably stable for linear or nonlinear hyperbolic problems. Within such a framework, we obtain algebraic proofs of conservation and energy stability as well as of the discrete equivalence between strong and weak formulations for discontinuous Galerkin and flux reconstruction schemes on general element types. The proposed methodology is also applied to the development of a new class of efficient and robust DSEMs on triangles and tetrahedra through the construction of sparse tensor-product operators in collapsed coordinates which satisfy the SBP property and are amenable to efficient sum-factorization algorithms. These SBP operators are used to construct split-form and flux-differencing DSEMs on curved triangular and tetrahedral unstructured grids which are conservative, free-stream preserving, and energy-stable for the linear advection equation or entropy stable for nonlinear hyperbolic systems. By exploiting the structure of the proposed operators as well as that of the Proriol-Koornwinder-Dubiner polynomial basis and using a weight-adjusted approximation to avoid the inversion of the curvilinear modal mass matrix, we obtain fully explicit algorithms of reduced complexity which facilitate the efficient extension of provably stable DSEMs on triangles and tetrahedra to arbitrarily high-order accuracy. The proposed schemes are compared to non-tensorial energy- and entropy-stable formulations on triangles and tetrahedra in a series of numerical experiments involving the solution of the linear advection and compressible Euler equations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.383
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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