Cleaned-up extraction of test_mu_ellipse from proj_ellipsoid: - quadric.py: minimal Ellipsoid class (standardization, KKT trajectory, extreme roots by exact bracketing, degenerate points, asymptotes). - plot_mu_trajectories.py: the 4-panel figure, typeset with LaTeX. - test_quadric.py: checks against brute-force sampling of the ellipse. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
29 lines
1.1 KiB
Markdown
29 lines
1.1 KiB
Markdown
# mu-trajectories
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Visualize the KKT trajectory of the Euclidean projection of a point `x0` onto an ellipse
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`x'Ax + b'x + c = 0`:
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x(mu) = (I + mu A)^{-1} (x0 - mu b / 2)
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The figure shows the trajectory in the plane, `f(mu) = psi(x(mu))`, the distance
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`||x0 - x(mu)||` and `f'(mu)`, together with the nearest/farthest KKT points `x(mu*)`,
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`x(mu**)` and, when `x0` has a zero standardized coordinate, the degenerate point `x^d`.
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## Usage
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pip install -r requirements.txt
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python plot_mu_trajectories.py # degenerate case x0 = (0, -0.1)
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python plot_mu_trajectories.py --x0 0.3 0.2 --output figures/generic
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pytest
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The ellipse is set by `A`, `B`, `C` at the top of `plot_mu_trajectories.py`.
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Text is typeset with LaTeX (`text.usetex`) when `latex` is on the `PATH`, with the `cm-super` and
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`type1cm` packages; otherwise matplotlib's Computer Modern math font is used.
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## Files
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- `quadric.py`: the `Ellipsoid` class (standardization, trajectory, extreme roots, degenerate points).
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- `plot_mu_trajectories.py`: the figure.
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- `test_quadric.py`: checks against brute-force sampling of the ellipse.
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