- semidefinite matrix
- мат. полуопределенная матрица
Большой англо-русский и русско-английский словарь. 2001.
semidefinite matrix
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Semidefinite programming — (SDP) is a subfield of convex optimization concerned with the optimization of a linear objective function over the intersection of the cone of positive semidefinite matrices with an affine space.Semidefinite programming is a relatively new field… … Wikipedia
Positiv semidefinite Matrix — Definitheit ist ein Begriff aus dem mathematischen Teilgebiet der linearen Algebra. Er beschreibt, welche Vorzeichen reelle quadratische Formen annehmen können, die durch Matrizen oder allgemeiner durch Bilinearformen erzeugt werden.… … Deutsch Wikipedia
Matrix norm — In mathematics, a matrix norm is a natural extension of the notion of a vector norm to matrices. Contents 1 Definition 2 Induced norm 3 Entrywise norms 3.1 Frobenius norm … Wikipedia
Semidefinite embedding — (SDE) or maximum variance unfolding (MVU) is an algorithm in computer science, that uses semidefinite programming to perform non linear dimensionality reduction of high dimensional vectorial input data. Non linear dimensionality reduction… … Wikipedia
Matrix (mathematics) — Specific elements of a matrix are often denoted by a variable with two subscripts. For instance, a2,1 represents the element at the second row and first column of a matrix A. In mathematics, a matrix (plural matrices, or less commonly matrixes)… … Wikipedia
Semidefinite Optimierung — In der Semidefiniten Programmierung (SDP, auch Semidefinite Optimierung) werden Optimierungsprobleme untersucht, deren Variablen keine Vektoren, sondern symmetrische Matrizen sind. Als Nebenbedingung wird verlangt, dass diese Matrizen positiv… … Deutsch Wikipedia
Semidefinite Programmierung — In der Semidefiniten Programmierung (SDP, auch Semidefinite Optimierung) werden Optimierungsprobleme untersucht, deren Variablen keine Vektoren, sondern symmetrische Matrizen sind. Als Nebenbedingung wird verlangt, dass diese Matrizen positiv… … Deutsch Wikipedia
Matrix multiplication — In mathematics, matrix multiplication is a binary operation that takes a pair of matrices, and produces another matrix. If A is an n by m matrix and B is an m by p matrix, the result AB of their multiplication is an n by p matrix defined only if… … Wikipedia
Positive-definite matrix — In linear algebra, a positive definite matrix is a matrix that in many ways is analogous to a positive real number. The notion is closely related to a positive definite symmetric bilinear form (or a sesquilinear form in the complex case). The… … Wikipedia
Covariance matrix — A bivariate Gaussian probability density function centered at (0,0), with covariance matrix [ 1.00, .50 ; .50, 1.00 ] … Wikipedia
Density matrix — Mixed state redirects here. For the psychiatric condition, see Mixed state (psychiatry). In quantum mechanics, a density matrix is a self adjoint (or Hermitian) positive semidefinite matrix (possibly infinite dimensional) of trace one, that… … Wikipedia
