On a new type of mixed interpolation
Journal of Computational and Applied Mathematics
On the error estimation for a mixed type of interpolation
Journal of Computational and Applied Mathematics
Derivation of a general mixed interpolation formula
Journal of Computational and Applied Mathematics
Modified quadrature rules based on a generalised mixed interpolation formula
Journal of Computational and Applied Mathematics
On modified Gregory rules based on a generalised mixed interpolation formula
Journal of Computational and Applied Mathematics
Mixed interpolation methods with arbitrary nodes
Journal of Computational and Applied Mathematics
On the hypergeometric matrix function
Journal of Computational and Applied Mathematics
Modern Control Engineering
Laplace approximation for Bessel functions of matrix argument
Journal of Computational and Applied Mathematics
A Schur-Parlett Algorithm for Computing Matrix Functions
SIAM Journal on Matrix Analysis and Applications
Functions of Matrices: Theory and Computation (Other Titles in Applied Mathematics)
Functions of Matrices: Theory and Computation (Other Titles in Applied Mathematics)
Journal of Computational and Applied Mathematics
Transformations between some special matrices
Computers & Mathematics with Applications
Auxiliary model identification method for multirate multi-input systems based on least squares
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Time series AR modeling with missing observations based on the polynomial transformation
Mathematical and Computer Modelling: An International Journal
Observable state space realizations for multivariable systems
Computers & Mathematics with Applications
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Computing matrix functions plays a diverse role in science and engineering. By applying mixed interpolation methods with arbitrary nodes for approximating real functions and the eigenvalues of the given matrix A, we propose a definition for computing the matrix function f(A). We will show the existence and uniqueness of the proposed definition. By using this definition, we present various practical techniques for computing the matrix function f(A). Finally some numerical examples and an application are given to show the applicability and the efficiency of the presented techniques.