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The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
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1970
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Numerical AnalysisMathematical ProgrammingEngineeringSemidefinite ProgrammingNonlinear OptimizationUnconstrained OptimizationInitial MatrixQuadratic FunctionsRegularization (Mathematics)Approximation TheoryLow-rank ApproximationContinuous OptimizationComputer EngineeringMinimization AlgorithmsInverse ProblemsComputer ScienceSignal ProcessingQuadratic ProgrammingGeneral ConsiderationsConvex Optimization
This paper presents a more detailed analysis of a class of minimization algorithms, which includes as a special case the DFP (Davidon-Fletcher-Powell) method, than has previously appeared. Only quadratic functions are considered but particular attention is paid to the magnitude of successive errors and their dependence upon the initial matrix. On the basis of this a possible explanation of some of the observed characteristics of the class is tentatively suggested.
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