Results 51 to 60 of about 184,563 (268)
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source
In the context of modular function spaces, we propose and investigate the Fibonacci-Ishikawa iteration method applied to non-expansive, asymptotically monotonic mathematical operators.
Anita Tomar +4 more
doaj +1 more source
Almost Everywhere Convergence of Orthogonal Series Revisited
We deal with single and double orthogonal series and give sufficient conditions which ensure their convergence almost everywhere. Among others, we prove that if \[ \sum^ \infty_{j= 3} \sum^ \infty_{k= 3} a_{jk}^ 2\log j\log k\log^ 2_ +(1/a^ 2_{jk})
Moricz, F., Tandori, K.
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Racism at Work: A Critical Qualitative Investigation
ABSTRACT An area of life that is profoundly impacted by anti‐Black racism is the world of work. Black Americans face persistent barriers from hiring to wage inequality to everyday mistreatment. In response, we conducted a critical qualitative investigation to explore how racism manifests in workplaces, uncover overlooked aspects of Black Americans ...
Michael Gordon +3 more
wiley +1 more source
Convergence Almost Everywhere and Divergence Everywhere of Taylor and Dirichlet Series
Nine theorems are proved. The following ones are typical. Theorem 3.2. There exists a Dirichlet series \[ f(x):= \sum^\infty_{n=1} a_n n^{-s} \] with convergence and boundedness in the half-plane \(\mathbb{C}_0:=\{s\in\mathbb{C}:\text{Re}(s)> 0\}\), and such that \(\sum a_n n^{it}\) diverges for each \(t\in\mathbb{R}\). Theorem 5.3. Let \((a_n\geq 1)\)
Bayart, F. +2 more
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Machine‐learning potentials are increasingly taking on the exploratory tasks of homogeneous catalysis, enabling rapid conformer sampling and reaction‐space mapping. However, when selectivity depends on subtle electronic effects, electronic‐structure methods remain essential.
Maxime Ferrer +3 more
wiley +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
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Nonsmooth spectral gradient methods for unconstrained optimization
To solve nonsmooth unconstrained minimization problems, we combine the spectral choice of step length with two well-established subdifferential-type schemes: the gradient sampling method and the simplex gradient method.
Milagros Loreto +3 more
doaj +1 more source
On almost-everywhere convergence of inverse spherical transforms [PDF]
Suppose that \(G\) is a noncompact, connected, semisimple Lie group with finite center and real rank one, and with a maximal compact subgroup \(K\). We assume that an Iwasawa decomposition \(G=ANK\) is fixed. Let \({\mathcal A}\) denote the Lie algebra of \(A\), so that \({\mathcal A}\) is isomorphic to the real line.
Meaney, Christopher, Prestini, Elena
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A goodness‐of‐fit test for regression models with discrete outcomes
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source

