convergio 0.1.1

Automatic convergence detection for iterative numerical methods. Stop wasting compute.

Convergio

Automatic convergence detection for iterative numerical methods.

Stop wasting compute. One function call tells you if your solver has converged, is oscillating, is stuck between two states, or is diverging.

"Your solver finished 3000 iterations ago."

Install

pip install convergio

Only dependency: NumPy.

Usage

Analyze a completed run

from convergio import detect

result = detect(my_residual_history)

print(result.state)        # "converged" | "oscillating" | "bistable" | "diverging"
print(result.quality)      # 0.0 — 1.0
print(result.converged_at) # step where convergence was detected
print(result.n_modes)      # number of distinct stable states

Monitor a running simulation

from convergio import watch

mon = watch(var_threshold=1e-6)

for step in range(10000):
    residual = solver.step()
    stop, info = mon.step(residual)
    if stop:
        print(f"Converged at step {step}")
        break

What it detects

State	Meaning	Recommendation
converged	Signal has stabilized	Stop
oscillating	Signal oscillates without settling	Continue or adjust parameters
bistable	Signal jumps between 2+ distinct states	Investigate — multiple solutions exist
diverging	Variance is growing	Restart with different parameters
warming_up	Not enough data yet	Continue

Works with

• FEM / CFD solvers (residual monitoring)
• ML training (loss convergence)
• Monte Carlo simulations (running averages)
• Optimization loops (objective function)
• Molecular dynamics (energy equilibration)
• Any iterative numerical process that produces a scalar time series

API

detect(signal, window=0, var_threshold=1e-6)

Analyze a complete time series. Returns ConvergenceResult.

watch(var_threshold=1e-6, check_every=50, min_steps=100)

Create a live monitor. Returns Watch object. Call .step(value) each iteration.

ConvergenceResult

Field	Type	Description
state	str	converged, oscillating, bistable, diverging, warming_up
quality	float	0.0 — 1.0 convergence quality
converged_at	int or None	Step where convergence detected
final_variance	float	Variance of last window
oscillation_freq	float	Detected oscillation frequency
n_modes	int	Number of distinct stable states
recommendation	str	stop, continue, restart

License

MIT

Author

Maximilian Jurak — 3 Kaiserberge Engineering & Research

[e-mail]