In convex geometry and vector algebra, a convex combination is a linear combination of points (which can be vectors, scalars, or more generally points...

one can define the related concepts of affine combination, conical combination, and convex combination, and the associated notions of sets closed under...

this property characterizes convex sets. Such an affine combination is called a convex combination of u1, ..., ur. The convex hull of a subset S of a real...

In geometry, the convex hull, convex envelope or convex closure of a shape is the smallest convex set that contains it. The convex hull may be defined...

non-empty convex compact set which does not contain the origin, then the convex conical hull of S is a closed set. Affine combination Convex combination Linear...

{\displaystyle P} . Equivalently, x {\displaystyle x} can be written as the convex combination of d + 1 {\displaystyle d+1} or fewer points in P {\displaystyle P}...

is a state that can not be written as a probabilistic mixture, or convex combination, of other quantum states. There are several equivalent characterizations...

combinations of b→ with coefficients from the rows in A. Convex combination Conical combination Linear combination Affine space Affine geometry Affine hull Gallier...

A convex polytope is a special case of a polytope, having the additional property that it is also a convex set contained in the n {\displaystyle n} -dimensional...

expressed using coefficients that sum to one. Such a linear combination is called a convex combination. Using the previous example, we would get the following...

the function value at any convex combination of elements in the domain is greater than or equal to that convex combination of those domain elements. Equivalently...

can be defined as a set X {\displaystyle X} equipped with a binary convex combination operation c λ : X × X → X {\displaystyle c_{\lambda }:X\times X\rightarrow...

combinations with positive coefficients. It follows that convex cones are convex sets. The definition of a convex cone makes sense in a vector space over any ordered...

analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces...

the convex combination 0.5 x + 0.5 y = ( 4 , 4 ) {\displaystyle 0.5x+0.5y=(4,4)} is worse than both of them since its utility is 4. A set of convex-shaped...

for constrained convex optimization. Also known as the conditional gradient method, reduced gradient algorithm and the convex combination algorithm, the...

tight curves Combination – One edge of the blade is convexed, the opposite edge concaved, so the tool can be used on concaved and convexed surfaces. Spokeshaves...

induction, a set Q is convex if and only if every convex combination of members of Q also belongs to Q. By definition, a convex combination of an indexed subset {v0...

probability density function if it exists) can be expressed as a convex combination (i.e. a weighted sum, with non-negative weights that sum to 1) of...

mathematician Johan Jensen, relates the value of a convex function of an integral to the integral of the convex function. It was proved by Jensen in 1906, building...

it. For any system, the state space is a convex set: Any mixed state can be written as a convex combination of pure states, though not in a unique way...

_{1}P_{1}+\cdots +\theta _{k}P_{k}.} (Such a decomposition of X is known as a 'convex combination'.) A proof of the theorem based on Hall's marriage theorem is given...

more precise by generalizing the notion of weighted average from a convex combination to an integral taken over the set E of extreme points. Here C is a...

algorithm) is an algorithm for decomposing a bistochastic matrix into a convex combination of permutation matrices. It was published by Garrett Birkhoff in 1946...

problems in mathematical programming can be formulated as problems on convex sets or convex bodies. Six kinds of problems are particularly important:: Sec.2 ...

separable states are multipartite quantum states that can be written as a convex combination of product states. Product states are multipartite quantum states...

of the option is given by a closed form formula and it is a linear convex combination of Black Scholes prices of call options with volatilities σ 1 , …...

\mathbb {Z} ^{n}} is integrally convex if any point y in the convex hull of X can be expressed as a convex combination of the points of X that are "near"...

{\displaystyle x^{\ast }} is not a vertex itself, it must be the convex combination of vertices of P {\displaystyle P} , say x 1 , . . . , x t {\displaystyle...

Gaussian kernel, then the value of the filtered signal will be a convex combination of the input values (the coefficients (the kernel) integrate to 1...