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314 3. Reference Manual<br />

Show the root locus.<br />

In[6]:= RootLocusPlot[rloc, LinearRegionLimit −> Infinity,<br />

PlotRange −> 5.0*^6]<br />

Cbc$Q$T5 = 5.000e-12 .. 5.000e-11 (0% .. 100%)<br />

6<br />

4. 10<br />

Im s<br />

Poles<br />

0%<br />

6<br />

2. 10<br />

6 6<br />

-4. 10 -2. 10<br />

6<br />

-2. 10<br />

6<br />

2. 10<br />

6<br />

4. 10<br />

Re s<br />

100%<br />

Zeros<br />

0%<br />

6<br />

-4. 10<br />

100%<br />

Out[6]= Graphics <br />

3.8.7 LREigenpair<br />

LREigenpair[A, B, theta0]<br />

LREigenpair[dae, theta0]<br />

solves the GEP described by the matrix pencil A B for an<br />

eigenvalue Λ near the initial guess theta0 where A and B<br />

must be real-valued square matrices of equal dimensions<br />

solves the GEP defined by the coefficient matrix of the AC<br />

DAEObject dae for an eigenvalue Λ near theta0<br />

Command structure of LREigenpair.<br />

As an alternative to the QZ algorithm, Analog Insydes provides the function LREigenpair for<br />

solving GEPs iteratively using a variant of the Jacobi orthogonal correction method. This approach is<br />

more efficient and reliable than the QZ algorithm for large GEPs when only one single eigenvalue<br />

is sought. In addition to the eigenvalue, LREigenpair also yields the corresponding left and<br />

right eigenvectors. The argument dae has to be an AC DAEObject written in matrix form (see<br />

CircuitEquations in Section 3.5.1).<br />

If the target eigenvalue is complex, the initial guess theta0 must also be a complex number.<br />

LREigenpair returns a list of the form {{lambda, v, u, r v , r u , iter}}, where lambda, v, and u denote<br />

the calculated eigenvalue and eigenvectors, r v and r u the corresponding L norms of the residual<br />

vectors

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