Publication | Closed Access
Some properties of an upper bound for μ
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Citations
16
References
1996
Year
Numerical AnalysisConic OptimizationMathematical ProgrammingEngineeringLower BoundConvex Upper BoundSemidefinite ProgrammingFunctional AnalysisExplicit Lipschitz ConstantUpper BoundApproximation TheoryVariational InequalityLow-rank Approximation
A convex upper bound of the mixed structured singular value /spl mu/ is analyzed. The upper bound is based on a multiplier method. It is simple, it can exploit low-rank properties, and it is shown to be less conservative than the well-known (D,G)-scaling. A direct relationship with (D,G)-scaling is given. The upper bound can be modified to one that is continuous with an explicit Lipschitz constant.
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