Nghĩa của từ vector space bằng Tiếng Việt

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Đặt câu có từ "vector space"

1. A Basis of a vector space is any linearly independent subset of it that spans the whole vector space

2. Gensim is a Python+NumPy framework for Vector Space modelling.

3. More generally, they may be elements of some vector space or algebra.

4. On a complex vector space, a Bilinear form takes values in the complex numbers

5. (Article in which a vector space model was presented) David Dubin (2004), The Most Influential Paper Gerard Salton Never Wrote (Explains the history of the Vector Space Model and the non-existence of a frequently cited publication) Description of the vector space model Description of the classic vector space model by Dr E. Garcia Relationship of vector space search to the "k-Nearest Neighbor" search Bag-of-words model Compound term processing Conceptual space Eigenvalues and eigenvectors Inverted index Nearest neighbor search Sparse distributed memory w-shingling G. Salton , A. Wong , C. S. Yang, A vector space model for automatic indexing, Communications of the ACM, v.18 n.11, pp. 613-620, Nov. 1975

6. More precisely, an affine space is a set with a free transitive vector space action.

7. Recall the dimension of an affine space is the dimension of its associated vector space.

8. So, an inner product on a real vector space is a positive-definite symmetric bilinear form.

9. A Bilinear space is a vector space equipped with a speci c choice of Bilinear form

10. A symmetric Bilinear form on a vector space is a Bilinear map from two copies of the vector space to the field of scalars such that the order of the two vectors does not affect the value of the map

11. In the words of John Baez, "an affine space is a vector space that's forgotten its origin".

12. In particular examples, an inverse vector space search engine includes multiple genres each associated with multiple keywords.

13. Mechanisms are provided for generating an inverse vector space search engine to automatically categorize and/or tag semi-structured data.

14. Codomain The Codomain of a linear transformation is the vector space which contains the vectors resulting from the transformation's action

15. Codomain the Codomain of a linear transformation is the vector space which contains the vectors resulting from the transformation s action

16. G. Salton, A. Wong, and C. S. Yang (1975), "A Vector Space Model for Automatic Indexing," Communications of the ACM, vol.

17. An affine frame for A consists of a point p ∈ A and a basis (e1,... en) of the vector space TpA = Rn.

18. 24 The matrix theory is presented in classical algebraic form with no recourse to the notions and nomenclature of vector space theory.

19. Given an associative algebra A (not of characteristic 2), one can construct a Jordan algebra A+ using the same underlying addition vector space.

20. In other words, each vector in the vector space can be written exactly in one way as a linear combination of the Basis vectors

21. If D is an Absorbing disk in a vector space X then there exists an Absorbing disk E in X such that E + E ⊆ D.

22. In linear algebra, a convex cone is a subset of a vector space over an ordered field that is closed under linear combinations with positive coefficients.

23. In fact, a Bilinear form can take values in any vector space , since the axioms make sense as long as vector addition and scalar multiplication are defined.

24. Apolar (not comparable) Having no polarity (chemistry, physics) Having no dipole Orthogonal under the polar pairing between the symmetric algebra of a vector space and its dual

25. Suppose that U has even dimension and a non-singular bilinear form with discriminant d, and suppose that V is another vector space with a quadratic form.

26. In other words, it is a Bilinear function that maps every pair (,) of elements of the vector space to the underlying field such that (,) = (,) for every and in .

27. Let(X, T) be a separated topological vector space, B be a closed bounded convex set. T drop property and quasi T drop property of set B is introduced.

28. Bilinear form over R consisting of the vector space Rp+qand the Bilinear form given by the diagonal matrix whose rst pentries are 1 and whose last qentries are 1

29. Bilinear forms and their matrices Joel Kamnitzer March 11, 2011 0.1 Definitions A Bilinear form on a vector space V over a field F is a map H : V ×V → F

30. In one implementation, a system explores the link structure of a directed graph and embeds the vertices of the directed graph into a vector space while preserving affinities that are present among vertices of the directed graph.

31. A multidigraph.They are commonly used in representation theory: a representation V of a quiver assigns a vector space V(x) to each vertex x of the quiver and a linear map V(a) to each arrow a.

32. Bilinear may refer to: Bilinear sampling (also called "Bilinear filtering"), a method in computer graphics for choosing the color of a texture; Bilinear form, a type of mathematical function from a vector space to the underlying field

33. The study of logarithms of matrices leads to Lie theory since when a matrix has a logarithm then it is in a Lie group and the logarithm is the corresponding element of the vector space of the Lie algebra.

34. A vector Basis of a vector space is defined as a subset of vectors in that are linearly independent and span.Consequently, if is a list of vectors in , then these vectors form a vector Basis if and only if every can be uniquely written as

35. A Basis B of a vector space V over a field F (such as the real numbers R or the complex numbers C) is a linearly independent subset of V that spans V.This means that a subset B of V is a Basis if it satisfies the two following conditions:

36. Math 55a: Intro to SPLAG [SPLAG = Sphere Packings, LAttices and Groups, the title of Conway and Sloane's celebrated treatise.Most of the following can be found in Chapter 1.] Let V be a vector space of finite dimension n over R.A lAttice in V is the set of integer linear combinations of a basis, or equivalently the subgroup of V generated by the basis vectors.