Robust and optimal control
Parallelizing the QR algorithm for the unsymmetric algebraic eigenvalue problem: myths and reality
SIAM Journal on Scientific Computing
Matrix computations (3rd ed.)
Using PLAPACK: parallel linear algebra package
Using PLAPACK: parallel linear algebra package
ScaLAPACK user's guide
A Note On Parallel Matrix Inversion
SIAM Journal on Scientific Computing
Numerical Computation of Deflating Subspaces of Skew-Hamiltonian/Hamiltonian Pencils
SIAM Journal on Matrix Analysis and Applications
Hi-index | 0.00 |
We investigate the numerical solution of algebraic Bernoulli equations (ABE) via the Newton iteration for the matrix sign function. Bernoulli equations are nonlinear matrix equations arising in control and systems theory in the context of stabilisation of linear systems, coprime factorisation of rational matrix-valued functions, as well as model reduction. The algorithm proposed here is easily parallelisable and thus provides an efficient tool to solve large-scale problems. We report the parallel performance and scalability of our parallel implementations on a cluster of Intel Xeon processors.