HPC Tier Module

Tumor Invasion (Fisher-KPP Reaction-Diffusion)

Propagate a Fisher-KPP invasion front and verify its speed against the exact c = 2*sqrt(rD) - in the browser.

See it run - a worked example, 100% in this browser tab

The problem

The mathematics of invasion fronts is taught with simulations whose front speed is rarely checked against the exact KPP law, leaving students and modelers unable to tell a correct solve from a plausible-looking one.

The local-first solution

This plugin marches the cited Fisher-KPP equation by explicit or IMEX finite differences in exact f64, measures the front position over time, and fits its speed against the closed-form minimal wave speed - all deterministic and in your browser with no upload.

What it does

Method-of-lines solve with a centred 3-point Laplacian and a logistic reaction source
Explicit forward-Euler or IMEX (implicit diffusion, explicit reaction) integrators
Diffusion Fourier number and reaction step number computed and stability-flagged
Measures the front position at a level set and fits its propagation speed
Checks the speed against the closed-form c_min = 2*sqrt(rD)
Verifies saturation at the carrying capacity behind the front

Honest scope

Exact: the 3-point Laplacian, the forward-Euler and backward-Euler/Thomas steps, the logistic source, the Fourier-number stability test, and the closed-form minimal wave speed it is checked against. The model uses a single dimensionless density with constant isotropic diffusion and growth, logistic saturation, and 1D geometry; whether D and r match a particular tumor is a separate calibration question. It does not model anisotropic or spatially varying diffusion, mechanical confinement, angiogenesis, treatment terms, multi-species structure, or 2D/3D anatomy. Research and education only - not a clinical, diagnostic, prognostic, or treatment-planning device, and not for medical decisions.

Authorities cited

Run the invasion solve

Compute the front and its wave-speed error in your browser, with nothing uploaded to anyone's cloud. Save the run to Sandbox, attach it to a Worklog case, or share parameters through a Gate portal.

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