Analysis of some Krylov subspace approximations to the matrix exponential operator
SIAM Journal on Numerical Analysis
Software for simplified Lanczos and QMR algorithms
Applied Numerical Mathematics - Special issue on iterative methods for linear equations
A Krylov projection method for systems of ODEs
Selected papers of the second international conference on Numerical solution of Volterra and delay equations : Volterra centennial: Volterra centennial
On Krylov Subspace Approximations to the Matrix Exponential Operator
SIAM Journal on Numerical Analysis
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
Linear Optimal Control Systems
Linear Optimal Control Systems
Efficient Computation of the Matrix Exponential by Generalized Polar Decompositions
SIAM Journal on Numerical Analysis
Computation of the Exponential of Large Sparse Skew-Symmetric Matrices
SIAM Journal on Scientific Computing
Approximation of the matrix exponential operator by a structure-preserving block Arnoldi-type method
Applied Numerical Mathematics
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The approximation of exp(A)V where A is a real matrix and V a rectangular matrix is the key ingredient of many exponential integrators for solving systems of ordinary differential equations. In this paper we give an appropriate structure preserving approximation method to exp(A)V when A is a Hamiltonian or skew-Hamiltonian 2n-by-2n real matrix. Our approach is based on Krylov subspace methods that preserve Hamiltonian or skew-Hamiltonian structure. In this regard we use a symplectic Lanczos algorithm to compute the desired approximation.