Guruswami-Sudan Interpolation Basics #
Dense interpolation constraints and normalized witness helpers shared by concrete interpolation backends.
Weighted-degree monomial basis used by dense interpolation.
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Finite Y cap used by positive-Y-weight interpolation backends.
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Number of coefficient columns used by bounded-Y interpolation backends.
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Guruswami-Sudan shifted-degree shifts, shift[j] = j * yWeight params.
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Hasse-derivative constraints for every point and every order a + b < m.
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One interpolation-matrix entry contributed by one monomial and one Hasse constraint.
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Dense Hasse-constraint matrix over an explicitly supplied monomial basis.
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Dense Hasse-constraint matrix for the interpolation problem.
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Dense interpolation matrix for packed point pairs over an explicit basis.
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Dense interpolation matrix for packed point pairs.
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Rebuild a bivariate polynomial from a dense coefficient vector over a supplied basis.
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Rebuild a bivariate polynomial from its dense interpolation coefficient vector.
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Constructive interpolation witness for the messageDegree ≤ 1 GS range.
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Coefficients of a bivariate polynomial in a supplied monomial order.
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Coefficients of a bivariate polynomial in the interpolation monomial order.
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Convert a homogeneous-kernel vector into a normalized basis polynomial.
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Convert a homogeneous-kernel vector into a normalized interpolation polynomial.
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Dimension slack for a supplied interpolation basis.
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Dimension slack condition that guarantees a nontrivial homogeneous kernel.
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Executable recognizer for the semantic interpolation witness contract.