Results 241 to 250 of about 1,539,341 (287)

RC-LDPC-Polar Codes for Information Reconciliation in Continuous-Variable Quantum Key Distribution. [PDF]

Entropy (Basel)
Hua F, Chen K, Deng W, Cheng J, Guo B, Xie H.   +5 more
europepmc   +1 more source

On Sampling-Times-Independent Identification of Relaxation Time and Frequency Spectra Models of Viscoelastic Materials Using Stress Relaxation Experiment Data. [PDF]

Materials (Basel)
Stankiewicz A, Juściński S, Błażewicz-Woźniak M.   +2 more
europepmc   +1 more source

The Epidemiologic Comparison of Two Correlated Relative Risks: A Simple but Efficient Clinical Trial Design for Assessing Risk-Reduction and Treatment Significance. [PDF]

Medicina (Kaunas)
Efird JT, Dupuis GN, Choi YM, Wu H.
europepmc   +1 more source

Growth of <i>Chlorella vulgaris</i> Under Atmospheric CO₂ in Lab-Scale Photobioreactors: Effects of Aeration Rate and Growth Model Comparison. [PDF]

Bioengineering (Basel)
Pavlov VA, Grigorenko AV, Astafieva AP, Vlaskin MS.   +3 more
europepmc   +1 more source

A fast, accurate and oscillation-free spectral collocation solver for high-dimensional transport problems. [PDF]

Sci Rep
Cavallini N, Manzini G, Funaro D, Favalli A.   +3 more
europepmc   +1 more source

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Rates of Ideal Convergence for Approximation Operators

Mediterranean Journal of Mathematics, 2010
This paper presents some convergence results on the Korovkin-type approximation theory when the notion of \({\mathcal I}\)-convergence is used, where \({\mathcal I}\) is an ideal in \(\mathbb N\) such that \(\{n\}\in{\mathcal I}\), \(n\in\mathbb N\). This new type of convergence was introduced by \textit{P. Kostyrko, T. Šalát} and \textit{W. Wilczynski}
Duman, Oktay, Erkuş, Duman Esra, Özarslan, Mehmet Ali   +2 more
openaire   +5 more sources

Budget-Dependent Convergence Rate of Stochastic Approximation

SIAM Journal on Optimization, 1998
Summary: Convergence rate results are derived for a stochastic optimization problem where a performance measure is minimized with respect to a vector parameter \(t\). Assuming that a gradient estimator is available and that both the bias and the variance of the estimator are (known) functions of the budget devoted to its computation, the gradient ...
L'Ecuyer, Pierre, Yin, George
openaire   +1 more source