Content deleted Content added
m Open access bot: hdl added to citation with #oabot. |
Ira Leviton (talk | contribs) m Fixed references. Please see Category:CS1 maint: numeric names: authors list. |
||
Line 8:
=== When to use ADI ===
If <math>A \in \mathbb{C}^{m \times m}</math> and <math>B \in \mathbb{C}^{n \times n}</math>, then <math> AX - XB = C</math> can be solved directly in <math> \mathcal{O}(m^3 + n^3)</math> using the Bartels-Stewart method.<ref>{{Cite book|title=Matrix computations|
The equation <math> AX-XB=C</math> has a unique solution if and only if <math> \sigma(A) \cap \sigma(B) = \emptyset</math>, where <math> \sigma(M) </math> is the [[Spectrum of a matrix|spectrum]] of <math>M</math>.<ref name=":1" /> However, the ADI method performs especially well when <math>\sigma(A)</math> and <math>\sigma(B)</math> are well-separated, and <math>A</math> and <math>B</math> are [[Normal matrix|normal matrices]]. These assumptions are met, for example, by the Lyapunov equation <math>AX + XA^* = C</math> when <math>A</math> is [[Positive-definite matrix|positive definite]]. Under these assumptions, near-optimal shift parameters are known for several choices of <math>A</math> and <math>B</math>.<ref name=":4" /><ref name=":5" /> Additionally, a priori error bounds can be computed, thereby eliminating the need to monitor the residual error in implementation.
Line 36:
</math>
where the infimum is taken over all rational functions of degree <math>(K, K)</math>.<ref name=":5" /> This approximation problem is related to several results in [[potential theory]],<ref>{{Cite book|title=Logarithmic potentials with external fields|
==== Heuristic shift-parameter strategies ====
|