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A题/数值分析检验/Prompt/6.md
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A题/数值分析检验/Prompt/6.md
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TASK: Run convergence/robustness checks for baseline scenario.
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INPUT DATA:
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- Same configuration as Prompt 5, but run two numerics:
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A) dt = 1.0 s
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B) dt = 0.5 s
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- Use identical params and scenario.
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METHODOLOGY:
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For each z0:
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1) Simulate with dt and dt/2 until termination.
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2) Compare z(t) by resampling dt/2 solution at dt grid (take every 2nd sample).
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3) Compute:
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z_diff_inf = max_k |z_dt[k] - z_dt2[2k]|
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tte_rel_err = |TTE_dt - TTE_dt2| / TTE_dt2
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4) Event-location robustness:
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For each run, report the last two bracketing samples for the triggering event and the interpolated t*.
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DELIVERABLES:
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A) “STEP_HALVING_TABLE_v1” CSV:
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z0, z_diff_inf, tte_rel_err, pass_bool
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B) “EVENT_BRACKET_REPORT_v1” JSON:
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for each z0: {reason, (t_k-1, g_k-1), (t_k, g_k), t_star}
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C) Single line verdict:
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"ROBUSTNESS_PASS" or "ROBUSTNESS_FAIL"
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VALIDATION (hard thresholds):
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- z_diff_inf < 1e-4
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- tte_rel_err < 0.01
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All z0 must pass or verdict is FAIL.
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OUTPUT FORMAT:
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CSV, then JSON, then verdict line. No prose.
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