| 1. | Furthermore, the interpolant is a polynomial and thus infinitely differentiable.
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| 2. | This suffices to show that ? is a suitable interpolant in this case.
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| 3. | The nature of the interpolant circuit can be arbitrary.
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| 4. | Having S = 0 means the solution is the " natural " spline interpolant.
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| 5. | For example, the interpolant above has a local maximum at " x"
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| 6. | This clearly yields a bound on how well the interpolant can approximate the unknown function.
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| 7. | The interpolant is linear along lines quadratic.
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| 8. | In curve fitting problems, the constraint that the interpolant has to go exactly through the data points is relaxed.
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| 9. | The initial simplex must have at least one face which contains a zero of the unique linear interpolant on that face.
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| 10. | Another disadvantage is that the interpolant is not differentiable at the point " x " " k ".
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