No clear winner. The survival gap is under 10 percentage points and the balanced-score gap is under 0.05, so neither SolvSRK nor the best baseline clears the win threshold. Either works — choose on cost, licensing, or integration effort. All verdicts →
Nonlinear diode clipper with Shockley model; stiffness from conduction switching at signal peaks
Canonical benchmark implementation
Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.
def rhs(t: float, y: np.ndarray) -> np.ndarray:
V_C1, I_L, V_C2 = float(y[0]), float(y[1]), float(y[2])
V_in = v_in(t)
# Kirchhoff: forward diode clips V_C2
I_D = i_diode(V_C2)
dV_C1 = (V_in - V_C1) / (R_s * C1) - I_L / C1
dI_L = (V_C1 - V_C2) / L
dV_C2 = I_L / C2 - (I_D + V_C2 / R_L) / C2
return np.array([dV_C1, dI_L, dV_C2])Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.
Fingerprint
Spread: low
Default noise: low
Recommendation snapshot
Clean best: Vern9
Noisy best: SciPy BDF
Coverage
14 solver arms · clean + 5 noise levels
Ranked on survival, precision, and speed
20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: Diode clipper audio circuit (diode-clipper-audio-circuit)
Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.
Self-reported by Resonix Labs · not independently verified
Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.
Objective
Best overall trade-off of survival, precision, and speed.
Noise level
| # | Solver | Survival | SCD | nfev | Wall | Score |
|---|---|---|---|---|---|---|
| 1 | Vern9external | 100% | 10.2 | 83,154 | 5.06 s | 0.861 |
| 2 | SolvSRK | 100% | 9.8 | 134,749 | 560 ms | 0.853 |
| 3 | SciPy RadauSciPy | 100% | 9.4 | 203,350 | 4.57 s | 0.842 |
| 4 | Vern7external | 100% | 9.2 | 80,052 | 5.05 s | 0.839 |
| 5 | SciPy DOP853SciPy | 100% | 8.7 | 59,654 | 542 ms | 0.825 |
| 6 | Tsit5external | 100% | 8.1 | 72,366 | 7.15 s | 0.811 |
| 7 | SciPy RK45SciPy | 100% | 7.8 | 81,464 | 813 ms | 0.805 |
| 8 | SciPy LSODASciPy | 100% | 7.2 | 45,608 | 321 ms | 0.791 |
| 9 | CVODE Adamsexternal | 100% | 7.2 | 33,265 | 338 ms | 0.791 |
| 10 | FBDFexternal | 100% | 7.2 | 73,213 | 6.04 s | 0.790 |
| 11 | SciPy RK23SciPy | 100% | 6.6 | 246,173 | 2.89 s | 0.776 |
| 12 | CVODE BDFexternal | 100% | 6.5 | 31,904 | 329 ms | 0.775 |
| 13 | SciPy BDFSciPy | 100% | 6.5 | 95,971 | 3.05 s | 0.774 |
| 14 | TRBDF2external | 100% | 2.3 | 65,168 | 5.94 s | 0.673 |
At Clean, best balanced arm is Vern9 · SolvSRK survival 100%, SCD 9.8.
Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →
SolvScout · free
This page shows one published benchmark cell. SolvScout fingerprints your ODE, compares it to the full corpus, and recommends a solver with the same survival / precision / speed ranking you see here — including when a SciPy arm wins.
SolvSRK · 30-day trial
SolvSRK is the stiffness-adaptive integrator behind the SolvSRK column in these tables. Create an account, activate a machine, and take a 30-day trial — same binary you'd ship after purchase.
Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is — a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.
@misc{resonix_evidence_diode_clipper_audio_circuit_2026,
title = {Resonix Evidence Portal: Diode clipper audio circuit},
author = {{Resonix Labs (Canada) Inc.}},
year = {2026},
howpublished = {\url{https://resonix.tech/evidence/problems/diode-clipper-audio-circuit}},
note = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels
Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology
Self-reported by Resonix Labs · not independently verified · Verification status