Примеры использования Vector space на Английском языке и их переводы на Русский язык
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The norm is a continuous function on its vector space.
It forms a vector space over the two-element finite field.
The signature of a lattice is the signature of the form on the vector space.
A vector space with such an order is called an ordered vector space. .
W12 can be constructed from the affine geometry on the vector space F3×F3, an S(2,3,9) system.
The complex four-dimensional vector space on the same basis is called the algebra of biquaternions.
The lattice is positive definite, Lorentzian, andso on if its vector space is.
It is a vector space over the residue field k:= R/ m{\displaystyle{\mathfrak{m.
Any such sequence is uniquely determined by a choice of two elements,so the vector space is two-dimensional.
The vector space associated with these vectors is often called the feature space. .
In linear algebra, a one-form on a vector space is the same as a linear functional on the space. .
A vector space on which a norm is defined is then called a normed space or normed vector space. .
It is a locally convex topological vector space, with the seminorms being the suprema on compact subsets.
Train an autoencoder network to reconstruct images of handwritten digits after projecting them to a lower-dimensional"code" vector space.
Most often, the set is a vector space, and the group represents symmetries of the vector space. .
The matrices generated according to this distribution can act as rotation operators for vectors in-dimensional vector space.
Let V be an n-dimensional complex vector space with basis θ i, i 1,…, n{\displaystyle\theta_{i}, i=1,\ldots, n.
In a vector space, the set of scalars is a field and acts on the vectors by scalar multiplication, subject to certain axioms such as the distributive law.
Like the quaternions,the set of hyperbolic quaternions form a vector space over the real numbers of dimension 4.
In linear algebra, a vector space is an algebraic structure that allows for adding any two vectors and for scaling vectors. .
More generally, given a field F one can define bk(X, F),the kth Betti number with coefficients in F, as the vector space dimension of HkX, F.
It says that every sufficiently high-dimensional normed vector space will have low-dimensional subspaces that are approximately Euclidean.
Any action of the group by continuous affine transformations on a compact convex subset of a(separable) locally convex topological vector space has a fixed point.
Take X{\displaystyle X}to be the vector space of all possible inputs, and Y{\displaystyle Y} to be the vector space of all possible outputs.
For all the problems below, assume that we are given(in addition to other more specific inputs)a basis for the vector space V and a norm N. The norm usually considered is L2.
To put it more abstractly every semi-normed vector space is a topological vector space and thus carries a topological structure which is induced by the semi-norm.
Phrased somewhat differently, the first part says that a linear operator J on a complex finite-dimensional vector space stabilizes a complete flag V1,…, Vn.
Given a hermitian structure on a vector space, J and Ω are related via Ω a b- g a c J c b{\displaystyle\Omega_{ ab}=- g_{ ac}{ J^{ c}}_{ b}} where g a c{\displaystyle g_{ac}} is the metric.
This model can be generalized to model an n+ 1{\displaystyle n+1} dimensional hyperbolic space by replacing the real number x by a vector in an n dimensional Euclidean vector space.
The Lie group G L n× GL m{\displaystyle GL_{n}\times GL_{m}} acts on the vector space C n⊗ C m{\displaystyle\mathbb{C}^{n}\otimes\mathbb{C}^{m}} in a natural way.