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Titlebook: New Trends in Parameter Identification for Mathematical Models; Bernd Hofmann,Antonio Leitão,Jorge P. Zubelli Book 2018 Springer Internati

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Adaptivity and Oracle Inequalities in Linear Statistical Inverse Problems: A (Numerical) Survey, . is a bounded linear operator between Hilbert spaces, and . is Gaussian white noise..We discuss order optimality of a posteriori parameter choice rules by means of oracle inequalities and review known results for the discrepancy principle, the unbiased risk estimation procedure, the Lepskiı̆-type
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Relaxing Alternating Direction Method of Multipliers (ADMM) for Linear Inverse Problems,ced to the standard algorithm allowing more flexible updating of the Lagrange multiplier. The convergence result is established for the Relaxing ADMM for the noise free data under appropriate assumptions. We also calibrate the convergence of the algorithm for the noisy data when noise vanishes by a
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ue to the diverse representations of female avatars within the space which go against the prevailing gender normativity and hyper-gendered embodiment seen elsewhere on SL. Due to the varied expressions of femaleness shown within Greek Gold, it is an excellent site for the exploration of the ideas of
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Uno Hämarik,Urve Kangrothis democratic drive, lurks a creeping crisis. Under neoliberalism, criticality has become a zone of value production. A self-deprecating irony, exposing and re-enacting this position of impotence, is one of the few gestures left in the arsenal of critical art. Against this irony, this book pits ov
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