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1Tenzornaja trigonometrija

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“Tenzornaja trigonometrija” Metadata:

  • Title: Tenzornaja trigonometrija
  • Author:
  • Languages: English - rus
  • Number of Pages: Median: 320
  • Publisher: ➤  Fizmatkniga - Mir Publisher - Fizmatlit Publisher
  • Publish Date:
  • Publish Location: Moscow, Russia - Moscow

“Tenzornaja trigonometrija” Subjects and Themes:

Edition Identifiers:

First Setence:

"In Theory of Matrices such classical notions as a singular matrix and its rank, eigen subspaces, annuling polynomial, projectors, and so one, have a sense only for exact matrices and at exact computations. ..."
"In Theory of Matrices such usual notions as a singular matrix, its rank, eigenvalues, eigenvectors or eigensubspaces, annuling polynomial, and so one have a sense only for exact matrices and at exact computations. ..."

Access and General Info:

  • First Year Published: 2004
  • Is Full Text Available: Yes
  • Is The Book Public: Yes
  • Access Status: Public

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    Wiki

    Source: Wikipedia

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    Orthogonality

    a right angle, whereas orthogonal is used in generalizations, such as orthogonal vectors or orthogonal curves. Orthogonality is also used with various

    Orthogonal group

    In mathematics, the orthogonal group in dimension n, denoted O(n), is the group of distance-preserving transformations of a Euclidean space of dimension

    Orthogonal matrix

    In linear algebra, an orthogonal matrix, or orthonormal matrix, is a real square matrix whose columns and rows are orthonormal vectors. One way to express

    Orthogonal transformation

    In linear algebra, an orthogonal transformation is a linear transformation T : V → V on a real inner product space V, that preserves the inner product

    Orthogonal functions

    In mathematics, orthogonal functions belong to a function space that is a vector space equipped with a bilinear form. When the function space has an interval

    Orthogonal complement

    the mathematical fields of linear algebra and functional analysis, the orthogonal complement of a subspace W {\displaystyle W} of a vector space V {\displaystyle

    Projection (linear algebra)

    the concept of orthogonality can be used. A projection P {\displaystyle P} on a Hilbert space V {\displaystyle V} is called an orthogonal projection if

    Orthogonal basis

    algebra, an orthogonal basis for an inner product space V {\displaystyle V} is a basis for V {\displaystyle V} whose vectors are mutually orthogonal. If the

    Orthogonal diagonalization

    linear algebra, an orthogonal diagonalization of a normal matrix (e.g. a symmetric matrix) is a diagonalization by means of an orthogonal change of coordinates

    Orthogonal frequency-division multiplexing

    In telecommunications, orthogonal frequency-division multiplexing (OFDM) is a type of digital transmission used in digital modulation for encoding digital