Linked from

The 12 pages that link to Convex combination, each with the reason it gives.

• Convex setRelated: Every point on a segment is a convex combination of its endpoints.

• Barycentric coordinatesRelated: Nonnegative barycentric coordinates place a point inside the convex hull of the reference points.

• Linear combinationCompared with: Its coefficient restrictions confine results to the vectors' convex hull.

• Convex hullBroader topic: Every point in the hull is a convex combination of points from the original set.

• Extreme pointRelated: A point is extreme precisely when no nontrivial such combination of other points produces it.

• ConvexityRelated: Convex combinations express the points that a convex set must contain.

• Affine combinationCompared with: It adds nonnegativity to the affine-combination constraint, restricting results to a convex hull.

• Carathéodory's theoremRelated: Membership in a convex hull means having a finite convex-combination representation.

• Weighted averageRelated: Normalized weights make the result a convex combination of the values.

• Gauss–Lucas theoremBroader topic: The root-balance equation expresses a critical point as a convex combination of roots.

• Fáry's theoremRelated: Tutte's construction places vertices using convex combinations of neighboring positions.

• Brunn–Minkowski theoremRelated: Normalized convex combinations connect the theorem to concavity of volume roots.