Results 41 to 50 of about 499,314 (280)
Accelerated Stochastic Approximation
The Annals of Mathematical Statistics, 1958 Using a stochastic approximation procedure $\{X_n\}, n = 1, 2, \cdots$, for a value $\theta$, it seems likely that frequent fluctuations in the sign of $(X_n - \theta) - (X_{n - 1} - \theta) = X_n - X_{n - 1}$ indicate that $|X_n - \theta|$ is small, whereas few fluctuations in the sign of $X_n - X_{n - 1}$ indicate that $X_n$ is still far away from ...
openaire +3 more sources
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Solving the General Fuzzy Random Bilevel Programming Problem Through
IEEE Access, 2018 This paper addresses the general fuzzy random bilevel programming problem in which not only both objective functions, but also the constraints contain fuzzy random variable coefficients.
Aihong Ren
doaj +1 more source
Generalized BSDEs driven by RCLL martingales with stochastic monotone coefficients
Modern Stochastics: Theory and Applications, 2023 A solution is given to generalized backward stochastic differential equations driven by a real-valued RCLL martingale on an arbitrary filtered probability space.
Badr Elmansouri, Mohamed El Otmani
doaj +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Simultaneous perturbation stochastic aproximation for Lipshitz functions
Lietuvos Matematikos Rinkinys, 2004 The convergence conditions of Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm with Gaussian smoothing operator are established in the class of Lipshitz functions.
Vaida Bartkutė, Leonidas Sakalauskas
doaj +3 more sources
Penalization method for a nonlinear Neumann PDE via weak solutions of reflected SDEs
, 2013 In this paper we prove an approximation result for the viscosity solution of a system of semi-linear partial differential equations with continuous coefficients and nonlinear Neumann boundary condition. The approximation we use is based on a penalization
Bahlali, Khaled +2 more
core +3 more sources
Advanced Engineering Materials, EarlyView.Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source
A Multi-Step Richardson-Romberg Extrapolation Method For Stochastic Approximation [PDF]
, 2015 We obtain an expansion of the implicit weak discretization error for the target of stochastic approximation algorithms introduced and studied in [Frikha2013].
Frikha, Noufel, Huang, Lorick
core +2 more sources