Diode clipper audio circuit
PARITYS1 · dim 3No 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
Problem definition
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.
Show canonical RHS excerpt
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])- Parameters
- C1 = 4.7e-08
- C2 = 4.7e-08
- L = 0.1
- R_L = 10000
- R_s = 1000
- Initial condition
- y(0) = [0, 0, 0]
- Horizon
- t ∈ [0, 0.1]
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
Versions & freeze
Methodology →- Freeze
- 2026-08-13
- libsolvsrk
- 2.3.0
- SciPy
- 1.14
- SUNDIALS
- CVODE (bundled backend)
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
Results matrix
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 →
Cite this page
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://resonixusa.com/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.}
}Related
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