For matrix functions $f$ we investigate how to compute a matrix-vector product $f(A)b$ without explicitly computing $f(A)$. A general method is described that applies quadrature to the matrix version of the Cauchy integral theorem. Methods specific to the logarithm, based on quadrature, and fractional matrix powers, based on solution of an ordinary differential equation initial value problem, are also presente
A method of matrix differential calculus based on differentials is presented. Several definitions of...
New methods are proposed for the numerical evaluation of $f(\A)$ or $f(\A) b$, where $f(\A)$ is a fu...
New methods are proposed for the numerical evaluation of $f(\A)$ or $f(\A) b$, where $f(\A)$ is a fu...
Summary. For matrix functions f we investigate how to compute a matrix-vector product f(A)b without ...
The need to evaluate a function $f(A)\in\mathbb{C}^{n \times n}$ of a matrix $A\in\mathbb{C}^{n \tim...
The need to evaluate a function $f(A)\in\mathbb{C}^{n \times n}$ of a matrix $A\in\mathbb{C}^{n \tim...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
The main focus of this paper is the solution of some partial differential equations of fractional or...
The main focus of this paper is the solution of some partial differential equations of fractional or...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
New algorithms are developed for estimating the condition number of $f(A)b$, where $A$ is a matrix a...
New algorithms are developed for estimating the condition number of $f(A)b$, where $A$ is a matrix a...
AbstractThis paper deals with the study of the hypergeometric function with matrix arguments F(A,B;C...
AbstractWe use the Cayley–Hamilton theorem and the sequence of Horner polynomials associated with a ...
A definition of bivariate matrix functions is introduced and some theoretical as well as algorithmic...
A method of matrix differential calculus based on differentials is presented. Several definitions of...
New methods are proposed for the numerical evaluation of $f(\A)$ or $f(\A) b$, where $f(\A)$ is a fu...
New methods are proposed for the numerical evaluation of $f(\A)$ or $f(\A) b$, where $f(\A)$ is a fu...
Summary. For matrix functions f we investigate how to compute a matrix-vector product f(A)b without ...
The need to evaluate a function $f(A)\in\mathbb{C}^{n \times n}$ of a matrix $A\in\mathbb{C}^{n \tim...
The need to evaluate a function $f(A)\in\mathbb{C}^{n \times n}$ of a matrix $A\in\mathbb{C}^{n \tim...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
The main focus of this paper is the solution of some partial differential equations of fractional or...
The main focus of this paper is the solution of some partial differential equations of fractional or...
Matrix functions are used in many areas of linear algebra and arise in numerous applications in scie...
New algorithms are developed for estimating the condition number of $f(A)b$, where $A$ is a matrix a...
New algorithms are developed for estimating the condition number of $f(A)b$, where $A$ is a matrix a...
AbstractThis paper deals with the study of the hypergeometric function with matrix arguments F(A,B;C...
AbstractWe use the Cayley–Hamilton theorem and the sequence of Horner polynomials associated with a ...
A definition of bivariate matrix functions is introduced and some theoretical as well as algorithmic...
A method of matrix differential calculus based on differentials is presented. Several definitions of...
New methods are proposed for the numerical evaluation of $f(\A)$ or $f(\A) b$, where $f(\A)$ is a fu...
New methods are proposed for the numerical evaluation of $f(\A)$ or $f(\A) b$, where $f(\A)$ is a fu...