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Abstract A signi cant number of
problems arising in science and
engineering can be modeled by a
system of PDE's, which after discretization
in space leads to non linear dynamical
systems of the form G(x; alpha)
= 0 depending on a parameter alpha.
In this work we analize some Krylov
methods as GMRES (Generalized Minimal
Residual) and IRA (Implicitly Restarted
Arnoldi) when they are imbbeded
in a continuation framework to compute
solutions of the parameterized non
linear system G(x; alpha) = 0, for
different values of the parameter
alpha. By using these techniques
it is possible to detect and compute
important steady states which give
us information about the stability
of the modeled process. Experiments
on several test problems reveal
the reliability of this approach
in the accurate detection of critical
and bifurcation points. Additionally,
stability in continuation points
is obtained at no cost.
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