Initial commit
This commit is contained in:
29
A题/数值分析检验/Prompt/8.md
Normal file
29
A题/数值分析检验/Prompt/8.md
Normal file
@@ -0,0 +1,29 @@
|
||||
TASK: Global sensitivity on TTE using Sobol (Saltelli sampling), deterministic.
|
||||
|
||||
INPUT DATA:
|
||||
- z0 = 1.00
|
||||
- Baseline params from BASELINE_CONFIG_v1
|
||||
- Select exactly 6 uncertain scalar parameters (must exist in params):
|
||||
k_L, k_C, k_N, κ (signal exponent), R_ref, α_Q
|
||||
- Define ±20% uniform ranges around baseline for each.
|
||||
- Sampling:
|
||||
N_base = 512
|
||||
Saltelli scheme with seed = 20260201
|
||||
|
||||
METHODOLOGY:
|
||||
1) Generate Saltelli samples (A, B, A_Bi matrices).
|
||||
2) For each sample, run simulation to get TTE_hours.
|
||||
3) Compute Sobol first-order S_i and total-order ST_i.
|
||||
|
||||
DELIVERABLES:
|
||||
A) SOBOL_TABLE_v1 (CSV):
|
||||
param, S_i, ST_i
|
||||
B) SOBOL_RANKING_v1 (JSON): params ordered by ST_i descending
|
||||
C) COMPUTE_LOG_v1 (JSON): N_evals_total, failures_count (must be 0)
|
||||
|
||||
VALIDATION:
|
||||
- failures_count must be 0.
|
||||
- All S_i and ST_i must lie in [-0.05, 1.05] else FAIL (numerical sanity).
|
||||
|
||||
OUTPUT FORMAT:
|
||||
CSV, JSON, JSON. No prose.
|
||||
Reference in New Issue
Block a user