PPolySim OS
Use case · powered by Linear Programming

Linear Programming for a race strategy

Simulate a race strategy live in your browser. This runs the real Linear Programming solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

Linear ProgrammingLive

Controls

Presets

Linear programming maximizes a linear objective subject to linear constraints. The constraints carve out a convex feasible region (shaded), and the optimum always sits at a corner. Slide the objective coefficients and watch the optimal vertex jump between corners — the geometric idea behind the simplex algorithm that runs global logistics and finance.

▶ Run in Python

Data Inspector

Optimal x6.00
Optimal y4.00
Objective value26.00

Governing equation

Reading this result: Maximizing 3·x + 2·y lands the optimum at the corner (6.0, 4.0) worth 26.0 — a linear objective over a convex region always peaks at a vertex, so sliding c₁/c₂ just makes the solution hop between corners.

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

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About this simulation

The full Linear Programming tool models a race strategy with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

More you can do with Linear Programming

Other ways to simulate a race strategy

Frequently asked questions

How do I simulate a race strategy?
Open this page and use the live Linear Programming tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?
Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?
Absolutely — every input is adjustable, and with data import you can drive a race strategy from your own measurements.