SIAM Journal on Matrix Analysis and Applications · 1988 · 29 citations · 6 references
ComputingComputer ScienceMathematicsAlgorithmsComputational GeometryForm-findingDimension ReductionLinear AlgebraMatrix ComputationNumerical AnalysisComputational Linear AlgebraComputational Matrix TheoryMatrix Representations
In this paper a new method for constructing the unimodular embedding of a polynomial matrix $P( \lambda )$ is derived. As proposed by Eising, the problem can be transformed to one of embedding a pencil, derived from the polynomial matrix $P( \lambda )$. The actual embedding of the pencil is performed here via the staircase form of this pencil, which shortcuts Eising’s construction. This then leads to a new, fast, and numerically reliable algorithm for embedding a polynomial matrix. The new method uses a fast variant of the staircase algorithm and only requires $O( p^3 )$ operations in contrast to the $O( p^4 )$ methods proposed up to now (where p is the largest dimension of the pencil). At the same time we also treat the connected problem of finding the (right) null space and (right) inverse of a polynomial matrix $P( \lambda )$.
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The Algebraic Eigenvalue Problem
E. I., J. H. Wilkinson · Mathematics of Computation · 1966 · 5.2K citations