Inverse Problems · 2013 · 11 citations · 20 references
Natural SciencesMathematicsOptimizationEigenvalue ProblemsInverse ProblemsMatrix ComputationNumerical AnalysisNumerical Linear AlgebraAlternating Direction Method Of MultipliersEigenvalue AlgorithmsEigenvalue ComputationInverse Eigenvalue ProblemsNonlinear Eigenvalue Problems
This paper shows that the alternating direction method of multipliers (ADMM) is efficient for solving the semidefinite inverse quadratic eigenvalue problem (SDIQEP) with a partial eigenstructure. We derive several ADMM-based iterative schemes for SDIQEP and demonstrate their efficiency for large-scale cases of SDIQEP numerically. © 2013 IOP Publishing Ltd.
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