Given a finite number of vectors ${\displaystyle x_{1},x_{2},\dots ,x_{n}}$ in a real vector space, a conical combination, conical sum, or weighted sum of these vectors is a vector of the form

where ${\displaystyle \alpha _{i}}$ are non-negative real numbers.

The name derives from the fact that the set of all conical sum of vectors defines a cone (possibly in a lower-dimensional subspace).

The set of all conical combinations for a given set S is called the conical hull of S and denoted cone(S) or coni(S). That is,

By taking k = 0, it follows the zero vector (origin) belongs to all conical hulls (since the summation becomes an empty sum).

The conical hull of a set S is a convex set. In fact, it is the intersection of all convex cones containing S plus the origin. If S is a compact set (in particular, when it is a finite non-empty set of points), then the condition "plus the origin" is unnecessary.

If we discard the origin, we can divide all coefficients by their sum to see that a conical combination is a convex combination scaled by a positive factor.

Therefore, "conical combinations" and "conical hulls" are in fact "convex conical combinations" and "convex conical hulls" respectively. Moreover, the above remark about dividing the coefficients while discarding the origin implies that the conical combinations and hulls may be considered as convex combinations and convex hulls in the projective space.