Quadratic programs
quadratic_program.py states a small quadratic program with CVXPY, a Python library for convex optimization. It solves the program for four shapes of the objective and every direction of its linear term. Cell by cell, the notebook holds the argument of a short lesson: the standard form, why the problem matters, its geometry, duality, and the key ideas. One notebook backs all three views.
Compare the views
Lecture is a Reveal.js deck. Each slide projects one notebook cell or draws from the notebook's region, bowl, and solution values. Step through the two-dimensional example to add the walls, the feasible region, the level curves, and the solution in turn. On the next slide, change the shape of P and the direction of q with the notebook's own controls.
Explainer is a single HTML page. Its reading column projects the notebook's Markdown, while the figure, the solution summary, and a table of dual values stay beside it. The native Shape of P and Direction of q controls select one of 48 prepared notebook states.
Lab is a Svelte app drawn with D3. Drag the handle around the dial, or scrub the value curve beneath it, to turn q. The notebook's sweep records the solution for 180 directions, so the optimum, the level curves, the readout, and the active walls update in the browser. Shape of P selects one of four prepared states.
Open Notebook to read the analysis the three views share.
Run locally
From the repository root:
uv run marimo edit examples/quadratic_program.py --sandboxStudio opens the Explainer, the notebook's default view. The Lecture and Lab views build with the Deno toolchain supplied by marimo-studio[deno]. All three views load their fonts from jsDelivr.
Read the source
The notebook adapts the quadratic program notebook from marimo's learn repository, published under the MIT License.