Results 71 to 80 of about 20,204 (210)
On Stochastic Subgradient Mirror-Descent Algorithm with Weighted Averaging [PDF]
, 2013 This paper considers stochastic subgradient mirror-descent method for solving constrained convex minimization problems. In particular, a stochastic subgradient mirror-descent method with weighted iterate-averaging is investigated and its per-iterate ...
Angelia Nedic ́ +2 more
core
Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference
Stat, Volume 14, Issue 4, December 2025.ABSTRACT Beta regression is commonly employed when the outcome variable is a proportion. Since its conception, the approach has been widely used in applications spanning various scientific fields. A series of extensions have been proposed over time, several of which address variable selection and penalized estimation, e.g., with an ℓ1$$ {\ell}_1 ...
Niloofar Ramezani, Martin Slawski
wiley +1 more source
Variable Step-size EASI Blind Source Separation Algorithm Based on Crosstalk Error and Separation Degree [PDF]
Jisuanji gongcheng, 2017 When the source signal consists of components with large energy difference or the global matrix is a non-row element dominant matrix,the variable step-size Equivariant Adaptive Separation via Independence(EASI) algorithm based on crosstalk error cannot ...
LI Zhenbi,WANG Kang,JIANG Yuanyuan
doaj +1 more source
On the zero stability of the variable order variable stepsize BDF-Formulas
Numerische Mathematik, 1990 The authors derive bounds for the mesh-size ratios \(h_{j+1}/h_ j\) of nonequidistant grids such that variable order backward differentiation formulas are zero-stable. In the case of 3-step formulas the results of the third author and \textit{P. J. Paes-Lemme} [BIT 24, 85-91 (1984; Zbl 0554.65052)] are substantially improved.
GRIGORIEFF, R.D., Calvo, M., Grande, T.
openaire +1 more source
Permittivity‐asymmetric qBIC metasurfaces for refractive index sensing
Nanophotonics, Volume 14, Issue 27, Page 5311-5321, December 2025.Abstract Bound states in the continuum (BICs) provide exceptional light confinement due to their inherent decoupling from radiative channels. Small symmetry breaking transforms BIC into quasi‐BIC (qBIC) that couples to free‐space radiation enabling ultra‐high‐quality‐factor (Q‐factor) resonances desirable for refractive index (RI) sensing. In practical
Xingye Yang +3 more
wiley +1 more source
Recent Advances in Natural SciencesThis paper aims to evaluate the accuracy and performance of the second derivative block extended trapezoidal rule of the second kind, blended with generalized backward differentiation formulae using variable step sizes, in solving hyperchaotic initial ...
E. J. Onoja, U. W. Sirisena
doaj +1 more source
IEEE Access, 2020 Delayless individual-weighting-factors sign subband adaptive filter (IWF-SSAF) algorithms with a band-dependent variable step-size (BDVSS) were recently introduced to achieve a robust convergence performance against the impulsive interference and to ...
Jung-Hee Kim +3 more
doaj +1 more source
Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Journal of Physics: Conference Series, 2017 Nonlinear phenomena in science and engineering such as a periodically forced oscillator with nonlinear elasticity are often modeled by the Duffing oscillator (Duffing equation). The Duffling oscillator is a type of nonlinear higher order differential equation.
Rasedee, Ahmad Fadly Nurullah +8 more
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Scalable Inference via Averaged Robbins‐Monro Bootstrap
Applied Stochastic Models in Business and Industry, Volume 41, Issue 6, November/December 2025.ABSTRACT Bootstrap procedures represent a straightforward approach to assessing the uncertainty around estimates of interest in statistical models. However, with the rising prevalence of massive datasets in statistical problems, the computational cost of bootstrap methods can quickly become prohibitive in many settings. To this end, this paper proposes
Giuseppe Alfonzetti, Ruggero Bellio
wiley +1 more source
Axioms, 2020 A number of applications from mathematical programmings, such as minimax problems, penalization methods and fixed-point problems can be formulated as a variational inequality model.
Nopparat Wairojjana +4 more
doaj +1 more source