SIAM Journal on Scientific and Statistical Computing
The Riccati equation
Matrix computations (3rd ed.)
A Stabilized QMR Version of Block BiCG
SIAM Journal on Matrix Analysis and Applications
Solution of the matrix equation AX + XB = C [F4]
Communications of the ACM
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
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We will concentrate on the numerical computation of so-called tall and skinny solutions X of the Sylvester equations AX - XB = C. By this we mean that A is an n × n matrix with cheaply applicable action (A is for example sparse), and B a k × k matrix, with k ≤ n. This type of Sylvester equation plays an important role in the computation of invariant subspaces when block Rayleigh quotient or block Jacobi-Davidson methods are used.There exist essentially two types of subspace projection methods for such equations. One in which the tall skinny matrices are treated as rigid objects, and one in which they are treated as a basis of a subspace. In this paper we review the two different types, design new methods, and aim to identify which application should make use of which solution method.