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SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments. [PDF]
Dewangan RR +6 more
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Fenestration of Medial Rectus Muscle versus Combined Resection Recession for Management of Near-Distance Disparity Esotropia. [PDF]
Ghali MA, El-Aidy LA, Nasr AA.
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Convergences of Prices and Rates of Inflation [PDF]
AbstractWe consider how unit‐root and stationarity tests can be used to study the convergence of prices and rates of inflation. We show how the joint use of these tests in levels and first differences allows the researcher to distinguish between series that are converging and series that have already converged, and we set out a strategy to establish ...
Fabio Busetti +2 more
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Convergence rates analysis of a multiobjective proximal gradient method
Optimization Letters, 2020Many descent algorithms for multiobjective optimization have been developed in the last two decades. Tanabe et al. (Comput Optim Appl 72(2):339–361, 2019) proposed a proximal gradient method for multiobjective optimization, which can solve multiobjective
H. Tanabe, E. H. Fukuda, Nobuo Yamashita
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Convergence rates of high dimensional Smolyak quadrature
ESAIM: Mathematical Modelling and Numerical Analysis, 2020We analyse convergence rates of Smolyak integration for parametric maps u: U → X taking values in a Banach space X, defined on the parameter domain U = [−1,1]N. For parametric maps which are sparse, as quantified by summability of their Taylor polynomial
J. Zech, C. Schwab
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Rates of convergence for Quicksort
Journal of Algorithms, 2002Summary: The normalized number of key comparisons needed to sort a list of randomly permuted items by the Quicksort algorithm is known to converge in distribution. We identify the rate of convergence to be of the order \(\theta(\ln(n)/n)\) in the Zolotarev metric.
Ralph Neininger, Ludger Rüschendorf
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Verification of Reduced Convergence Rates
Computing, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hsin-Yun Hu, Zi-Cai Li
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Rate of Convergence to a Stable Law
SIAM Journal on Applied Mathematics, 2001The paper deals with the densities of normalized sums of i.i.d. random variables with stable limit law. Under various conditions when the tails are finally of Pareto type (or mixtures of them) the authors introduce uniform rates for the convergence of the densities to the stable densities.
Joseph B. Keller, Rachel Kuske
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