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Problem-solving strategies for interpolation in numerical methods
Passed 22 of 24 test cases with the skill, and 19 of 24 without it.
3 fixed19 passed either way2 still failing0 broke
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One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the recommended one-line shell command using uv run python to evaluate a B-spline at x=1.5 using make_interp_spline for x=[0,1,2,3] and y=[0,1,4,9]?
| Checked | Without skill | With skill |
|---|---|---|
| Includes make_interp_spline(x, y, k=3) in the uv run python command string. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when working on interpolation problems in numerical methods.
Assess Data Characteristics
Select Interpolation Method
Implement with SciPy
scipy.interpolate.CubicSpline(x, y) - natural cubic splinescipy.interpolate.make_interp_spline(x, y, k=3) - B-splinescipy.interpolate.interp1d(x, y, kind='cubic') - 1D interpolationValidate Results
sympy_compute.py limit "interp_error" --at boundariesHigh-Dimensional Considerations
test cases passed, vs 19 / 24 without
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