Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For Students · Optimize + UQ

Optimize + UQ for an outlier scan

Built for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition. Simulate an outlier scan live below — adjust the inputs and watch it respond, right in your browser.

Optimization + Uncertainty StudioLive

gradient descent · Monte-Carlo UQ

Controls

Objective f(x)

Presets

Start x₀

Input σ (uncertainty)

▶ Run in Python

Data Inspector

Minimum x-1.3008

f(x) at min-3.5139

Output mean-2.308

Output σ2.207

5–95%-3.51 … 1.44

Governing equation

x min f (x), x_{n + 1} = x_{n} - η \nabla f (x_{n}), η = 0.01, x_{0} = 2.5, x^{⋆} \approx - 1.301

Reading this result: Descent from x₀ = 2.5 settled at x ≈ -1.30. With input σ = 0.4, the output spreads to about 2.21 — uncertainty stays tight near a flat minimum but gets amplified where the curve is steep.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →

Also for:Researchers Educators Engineers Hobbyists & Makers K-12 Students First Responders General version →

More with Optimize + UQ

Optimize + UQ for an A/B test Optimize + UQ for a survey sample Optimize + UQ for a poll margin Optimize + UQ for a quality-control chart Optimize + UQ for a clinical trial Optimize + UQ for a customer churn Optimize + UQ for a click-through rate Optimize + UQ for an exam-score curve

Frequently asked questions

Is this good for students?: Yes — this version of "Optimize + UQ for an outlier scan" is framed for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.