The traditional approach for analyzing interaction data from biosensors instruments is based
on the simplified assumption that also larger biomolecules interactions are homogeneous. It …

We introduce stochastic asymptotical regularization (SAR) methods for the uncertainty
quantification of the stable approximate solution of ill-posed linear-operator equations …

The a posteriori stopping rule plays a significant role in the design of efficient stochastic
algorithms for various tasks in computational mathematics, such as inverse problems …

$ U $-statistics represent a fundamental class of statistics arising from modeling quantities of
interest defined by multi-subject responses. $ U $-statistics generalize the empirical mean of …

In the present paper, a three‐dimensional numerical model has been built using ANSYS
code to analyze the static and fatigue behavior of a welded design based on four …

An information processing apparatus (2000) acquires time-series data (14) output by a
sensor (10) and computes a plurality of feature constants θi and a contribution value ξi …