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A题/数值分析检验/Prompt/3.md
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A题/数值分析检验/Prompt/3.md
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TASK: Produce a deterministic function-level design for simulation with RK4 + nested CPL.
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INPUT DATA:
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- MODEL_SPEC from Prompt 1
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- TTE_SPEC from Prompt 2
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- Scenario definition: provides u(t) = [L(t),C(t),N(t),Ψ(t),T_a(t)] for any t
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- Initial state x0 = [z0, v_p0, T_b0, S0, w0]
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- Fixed constants: dt, t_max
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METHODOLOGY:
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Define these pure functions (no side effects):
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1) params_to_constitutive(x, params):
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returns V_oc, R0, Q_eff at current state (with guards z_eff, floors)
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2) power_mapping(u, x, params):
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returns P_tot
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3) current_cpl(V_oc, v_p, R0, P_tot):
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returns Δ and I using the specified quadratic root
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4) rhs(t, x, u, params):
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computes dx/dt using I(t) found by CPL closure
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RK4 step (must be spelled out exactly):
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Given (t_n, x_n):
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- Compute u_n = scenario.u(t_n)
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- Stage 1 uses rhs(t_n, x_n, u_n)
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- Stage 2 uses rhs(t_n+dt/2, x_n + dt*k1/2, u(t_n+dt/2))
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- Stage 3 uses rhs(t_n+dt/2, x_n + dt*k2/2, u(t_n+dt/2))
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- Stage 4 uses rhs(t_n+dt, x_n + dt*k3, u(t_n+dt))
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- x_{n+1} = x_n + dt*(k1 + 2k2 + 2k3 + k4)/6
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After updating, clamp states to bounds (z,S,w) as per MODEL_SPEC.
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Event evaluation:
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At each grid point, store V_term, z, Δ.
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After each step, check crossings using TTE_SPEC.
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DELIVERABLES:
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A) A complete “SIM_API_v1” specification listing:
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- Function signatures
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- Inputs/outputs (including units)
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- Exactly what arrays are stored each step
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- Termination output bundle
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B) A single canonical output schema:
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"trajectory" table columns exactly:
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t, z, v_p, T_b, S, w, V_oc, R0, Q_eff, P_tot, Δ, I, V_term
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plus metadata: dt, t_max, termination_reason, t_star, TTE_seconds
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VALIDATION:
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- Must state the convergence requirement:
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step-halving: compare dt vs dt/2 with:
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max|z_dt - z_dt2| < 1e-4 and relative TTE error < 1% (exactly these thresholds)
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- Must include feasibility guard: if Δ becomes negative at any rhs evaluation, trigger event DELTA_ZERO.
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OUTPUT FORMAT:
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Return YAML only with keys: SIM_API_v1, OutputSchema, ValidationPlan.
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No prose.
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