A definition of bivariate matrix functions is introduced and some theoretical as well as algorithmic aspects are analyzed. It is shown that our framework naturally extends the usual notion of (univariate) matrix functions and allows to unify existing results on linear matrix equations and derivatives of matrix functions
For matrix functions $f$ we investigate how to compute a matrix-vector product $f(A)b$ without expli...
Let f(X1,X2,…,Xk) be a matrix function over the field of complex numbers, where X1,X2,…,Xk are a fam...
Summary. For matrix functions f we investigate how to compute a matrix-vector product f(A)b without ...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
AbstractWe study various notions of multivariate functions which map families of positive semidefini...
AbstractWe present a matrix formalism to study univariate polynomials. The structure of this formali...
The main object of this investigation is to define a multivariable matrix generalization of Gould-Ho...
This paper presents an overview of the modern developments around the multivariable hypergeometric m...
AbstractSome results on scalar variable Laplace transforms are generalized to the matrix-variate cas...
This book enables readers who may not be familiar with matrices to understand a variety of multivari...
AbstractWhittaker functions arise naturally in many topics in physical, biological, and social scien...
AbstractVarious concepts of a Bezoutian of two rational matrix functions are introduced, thereby ext...
Various numerical linear algebra problems can be formulated as evaluating bivariate function of matr...
Various numerical linear algebra problems can be formulated as evaluating bivariate function of matr...
For matrix functions $f$ we investigate how to compute a matrix-vector product $f(A)b$ without expli...
Let f(X1,X2,…,Xk) be a matrix function over the field of complex numbers, where X1,X2,…,Xk are a fam...
Summary. For matrix functions f we investigate how to compute a matrix-vector product f(A)b without ...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
AbstractWe study various notions of multivariate functions which map families of positive semidefini...
AbstractWe present a matrix formalism to study univariate polynomials. The structure of this formali...
The main object of this investigation is to define a multivariable matrix generalization of Gould-Ho...
This paper presents an overview of the modern developments around the multivariable hypergeometric m...
AbstractSome results on scalar variable Laplace transforms are generalized to the matrix-variate cas...
This book enables readers who may not be familiar with matrices to understand a variety of multivari...
AbstractWhittaker functions arise naturally in many topics in physical, biological, and social scien...
AbstractVarious concepts of a Bezoutian of two rational matrix functions are introduced, thereby ext...
Various numerical linear algebra problems can be formulated as evaluating bivariate function of matr...
Various numerical linear algebra problems can be formulated as evaluating bivariate function of matr...
For matrix functions $f$ we investigate how to compute a matrix-vector product $f(A)b$ without expli...
Let f(X1,X2,…,Xk) be a matrix function over the field of complex numbers, where X1,X2,…,Xk are a fam...
Summary. For matrix functions f we investigate how to compute a matrix-vector product f(A)b without ...
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