Ulrich Tulowitzki

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We present a general scheme for improving the asymptotic behavior of a given nonlinear programming algorithm without incurring a significant increase in storage overhead. To enhance the rate of convergence we compute search directions by partially solving a sequence of quadratic programming (QP) problems as suggested by Dembo [6]. The idea is illustrated on(More)
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