Benchmark study finds quantile and z-score marking strategies most robust for adaptive mesh refinement in steady mechanics problems, with Dörfler effective at large parameters and Isolation Forest competitive only under generous settings.
Learning robust marking policies for adaptive mesh refinement.SIAM Journal on Scientific Computing, 46:A264–A289, 2024
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Marking strategies for adaptive mesh refinement: An efficiency-focused benchmark study for steady solid and fluid mechanics problems
Benchmark study finds quantile and z-score marking strategies most robust for adaptive mesh refinement in steady mechanics problems, with Dörfler effective at large parameters and Isolation Forest competitive only under generous settings.