Abstract |
Efficient Elimination Orders for the Elimination Problem in Diagnosis
A consistency relation is a constraint on the time evolution of
known variables (and their time derivatives) that is fulfilled if
the known variables are consistent with a model. Such relations are
useful in diagnosis and can be derived using elimination theory.
Unfortunately, even apparently small elimination problems proves
impossible to compute on standard computers. An approach to lessen
the computational burden is to divide the complete elimination
problem into a set of smaller elimination problems. This is done by
analysing the structure of the model equations using graph
theoretical algorithms from the field of sparse factorization of
symmetric matrices. The algorithms are implemented in Mathematica and exemplified on a
fluid-flow system where the original elimination problem does not
terminate. Applying the proposed algorithms give an elimination
strategy that terminates with a solution in just a few seconds.
Erik Frisk
2003


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