fix: increase Hayes SDDE trajectories 100→1000 to eliminate ~9% flakiness#3749
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…ness MethodOfSteps(RKMil()) on the Hayes SDDE problem (tspan=[0,10]) gives 𝒪est[:final] with mean ~0.87 and std ~0.12 at 100 trajectories, for a ~9% failure rate against the ±0.3 tolerance. Increasing to 1000 reduces std to ~0.038, making P(fail) < 0.001% without pinning the RNG. Mirrors the DRI1 fix (1e5→1e6 trajectories, already in master). Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
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Summary
Increases
trajectoriesfrom 100 to 1000 in theMethodOfSteps(RKMil())Hayes SDDE convergence test.Root cause: At 100 trajectories,
𝒪est[:final]for the Hayes SDDE problem (tspan=[0,10]) has mean ~0.87 and std ~0.12, giving ~9% failure rate against the ±0.3 tolerance. Increasing to 1000 reduces std to ~0.038 (std ∝ 1/√N), making P(fail) < 0.001% without pinning the RNG. This mirrors the DRI1 fix (1e5→1e6 trajectories) already in master.🤖 Generated with Claude Code