Newton's method for the matrix square root
Mathematics of Computation
Automatic control systems (6th ed.)
Automatic control systems (6th ed.)
Matrix computations (3rd ed.)
Computing the logarithm of a symmetric positive definite matrix
Applied Numerical Mathematics
A Padé Approximation Method for Square Roots of Symmetric Positive Definite Matrices
SIAM Journal on Matrix Analysis and Applications
A Schur-Parlett Algorithm for Computing Matrix Functions
SIAM Journal on Matrix Analysis and Applications
Computing a matrix function for exponential integrators
Journal of Computational and Applied Mathematics
The Scaling and Squaring Method for the Matrix Exponential Revisited
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)
Computing matrix functions using mixed interpolation methods
Mathematical and Computer Modelling: An International Journal
Hi-index | 7.29 |
Computing a function f(A) of an n-by-n matrix A is a frequently occurring problem in control theory and other applications. In this paper we introduce an effective approach for the determination of matrix function f(A). We propose a new technique which is based on the extension of Newton divided difference and the interpolation technique of Hermite and using the eigenvalues of the given matrix A. The new algorithm is tested on several problems to show the efficiency of the presented method. Finally, the application of this method in control theory is highlighted.