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Computing real solutions of polynomial systems via low-rank moment matrix completion
12
Citations
43
References
2012
Year
Unknown Venue
Mathematical ProgrammingNumerical AnalysisSpectral TheoryEngineeringAlgebraic AnalysisMatrix TheoryMoment RelaxationsValidated NumericsMatrix MethodReal Algebraic GeometryApproximation TheoryLow-rank ApproximationInverse ProblemsComputer ScienceReal SolutionsMatrix AnalysisNew AlgorithmMatrix FactorizationReal RootsPolynomial SystemsAlgebraic Method
In this paper, we propose a new algorithm for computing real roots of polynomial equations or a subset of real roots in a given semi-algebraic set described by additional polynomial inequalities. The algorithm is based on using modified fixed point continuation method for solving Lasserre's hierarchy of moment relaxations. We establish convergence properties for our algorithm. For a large-scale polynomial system with only few real solutions in a given area, we can extract them quickly. Moreover, for a polynomial system with an infinite number of real solutions, our algorithm can also be used to find some isolated real solutions or real solutions on the manifolds.
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