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4 553 (0,195s)

Result

Stable computations of generalized inverses of positive semidefinite matrices

Some efficient methods for solving linear systems with a symmetric positive semidefinite matrix in the FETI context are reviewed.

BA - Obecná matematika

  • 2014
  • Jx
  • Link
Result

Semidefinite Representation of Convex Hulls of Rational Varieties

Using elementary duality properties of positive semidefinite moment matrices parameterized algebraic varieties is semidefinite representable (that is, it can be represented as a projection of an affine section of the cone o...

BA - Obecná matematika

  • 2011
  • Jx
  • Link
Result

Sign-changing diagonal perturbations of Laplacian matrices of graphs

of the graph Laplacian matrix. We generalize our results to positive semidefinite matricesIn this paper we provide sufficient conditions for positive (semi)definiteness of sign-changing diagonal perturbations of positive semide...

Pure mathematics

  • 2017
  • Jimp
  • Link
Result

Semidefinite Geometry of the Numerical Range

of positive semidefinite matrices (or semidefinite cone for short). In particular), an affine section of the semidefinite cone, is always dual to the numerical range of a matrix, which is therefore an affine proje...

BA - Obecná matematika

  • 2010
  • Jx
Result

Matrices and Graphs in Euclidean Geometry.

Theory of matrices, in particular positive semidefinite matrices, as well as theory of finite nondirected graphs is applied to study basic notions of Euclidean geometry. Special kinds of simplices are studied in detail. In ...

BA - Obecná matematika

  • 2001
  • B
Result

Optimal singular correlation matrices estimated when sample size is less than the number of random variables

for such optimal singular positive semidefinite correlation matrices. Many examples of optimal correlation matrices are given, both analytically and numerically. of optimal correlation matrices in relation to corr...

BB - Aplikovaná statistika, operační výzkum

  • 2012
  • Jx
Result

A variant of Schur's product theorem and its applications

We show the following version of the Schur's product theorem. If M is a positive semidefinite matrix with all entries on the diagonal equal to one, then the matrix M.M-E/n is positive semidefinite. As a corollary of this result, we ...

Pure mathematics

  • 2020
  • Jimp
  • Link
Result

Analysis of fixing nodes used in generalized inverse computation

a generalized inverse of a symmetric positive semidefinite matrix, for example in the solution of contact problems. Systems with semidefinite matrices can be solved by standarddirect methods for the solution of systems wit...

BA - Obecná matematika

  • 2014
  • Jx
  • Link
Result

Cholesky decomposition of a positive semidefinite matrix with known kernel

The Cholesky decomposition of a symmetric positive semidefinite matrix A is a useful tool for solving the related consistent system of linear equations or evaluating the action of a generalized inverse, especially when A is relatively large ...

BA - Obecná matematika

  • 2011
  • Jx
  • Link
Result

About algorithm for sum of squares decomposition of real polynomial

Sum of squares decomposition is a well-known method for proving of polynomial nonnegativity. But how to generate this with help of computer?...

AM - Pedagogika a školství

  • 2014
  • D
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