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** Every vector space has a basis.
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** and vector
** The closed unit ball of the dual of a normed vector space over the reals has an extreme point.
** On every infinite-dimensional topological vector space there is a discontinuous linear map.
** vector algebra and vector differential operators
** Parity function, a Boolean function whose value is 1 if the input vector has an odd number of ones
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** the category of vector spaces over a field K.
** the category of vector spaces over a field K.
** K-Vect, the category of vector spaces over a field K
** The category of finite-dimensional vector spaces
** Linear algebra explains how a vector space can be given a basis, and then any vector can be expressed in this basis.
** Lyapunov vector
** Sample a new position y by adding a normally distributed random vector to the current position x
** is the-dimensional input vector.
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** d ( p * E, p * F, σ ( D )) is the " difference element " of K ( B ( X )/ S ( X )) associated to two vector bundles p * E and pF on B ( X ) and an isomorphism σ ( D ) between them on the subspace S ( X ).
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