AbstractWe study the geometrical properties of the Frobenius condition number on the cone of symmetric and positive definite matrices. This number, related to the cosine of the angle between a given matrix and its inverse, is equivalent to the classical 2-norm condition number, but has a direct and natural geometrical interpretation. In particular we establish bounds for the ratio between the angle that a matrix forms with the identity ray and the angle that the inverse of that matrix forms with the identity ray. These bounds allow us to establish new lower bounds for the condition number, that only require the trace and the Frobenius norm of the matrix
Given a real N by N matrix A, write p(A) for the maximum angle by which A rotates any unit vector. ...
AbstractIn this note we generalize an upper bound given in Guggenheimer et al. (College Math. J. 26(...
AbstractPositive definite and semidefinite matrices are characterized in terms of positive definiten...
We present some lower bounds for the Frobenius condition number of a positive definite matrix depen...
We present some lower bounds for the Frobenius condition number of a positive definite matrix depend...
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduc...
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduc...
AbstractIn matrix computations, such as in factoring matrices, Hermitian and, preferably, positive d...
In matrix computations, such as in factoring matrices, Hermitian and, preferably, positive definite ...
The nearest symmetric positive semidefinite matrix in the Frobenius norm to an arbitrary real matrix...
AbstractThe nearest symmetric positive semidefinite matrix in the Frobenius norm to an arbitrary rea...
<p>This topology is easily visualized in case of 2x2 matrices; any 2x2 covariance matrix can be seen...
AbstractThe principal pivoting scheme for quadratic programming is used to derive finite criteria fo...
AbstractWe shall discuss geometric properties of a quadrangle with parallelogramic properties in a c...
The Frobenius normal form of a matrix is an important tool in analyzing its properties. When a matri...
Given a real N by N matrix A, write p(A) for the maximum angle by which A rotates any unit vector. ...
AbstractIn this note we generalize an upper bound given in Guggenheimer et al. (College Math. J. 26(...
AbstractPositive definite and semidefinite matrices are characterized in terms of positive definiten...
We present some lower bounds for the Frobenius condition number of a positive definite matrix depen...
We present some lower bounds for the Frobenius condition number of a positive definite matrix depend...
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduc...
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduc...
AbstractIn matrix computations, such as in factoring matrices, Hermitian and, preferably, positive d...
In matrix computations, such as in factoring matrices, Hermitian and, preferably, positive definite ...
The nearest symmetric positive semidefinite matrix in the Frobenius norm to an arbitrary real matrix...
AbstractThe nearest symmetric positive semidefinite matrix in the Frobenius norm to an arbitrary rea...
<p>This topology is easily visualized in case of 2x2 matrices; any 2x2 covariance matrix can be seen...
AbstractThe principal pivoting scheme for quadratic programming is used to derive finite criteria fo...
AbstractWe shall discuss geometric properties of a quadrangle with parallelogramic properties in a c...
The Frobenius normal form of a matrix is an important tool in analyzing its properties. When a matri...
Given a real N by N matrix A, write p(A) for the maximum angle by which A rotates any unit vector. ...
AbstractIn this note we generalize an upper bound given in Guggenheimer et al. (College Math. J. 26(...
AbstractPositive definite and semidefinite matrices are characterized in terms of positive definiten...