Results 201 to 210 of about 205,279 (307)

Road traffic estimation and algorithmic routing in a spatially dependent network

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT This work concerns a procedure to estimate the joint distribution of the per‐edge travel times in a road traffic network with spatial dependence. The constructed estimator, based on the realized travel times of a collection of independently operating probe vehicles traversing the network, is shown to be consistent and rate‐optimal.
Rens Kamphuis   +2 more
wiley   +1 more source

When Do Authoritarian Regimes Use Digital Technologies for Covert Repression? A Qualitative Comparative Analysis of Politico‐Economic Conditions

open access: yesSwiss Political Science Review, EarlyView.
Abstract Although autocracies increasingly learn how to integrate digital technologies into their covert repression toolbox, it remains unclear under which conditions they succeed in doing so. While some technologically developed autocracies seldom use covert repression, other technologically underdeveloped autocracies apply significantly more covert ...
Ildar Daminov
wiley   +1 more source

Computing With Residue Numbers in High-Dimensional Representation. [PDF]

open access: yesNeural Comput
Kymn CJ   +6 more
europepmc   +1 more source

Gradings on the algebra of upper triangular matrices and their graded identities

open access: bronze, 2003
Onofrio Mario Di Vincenzo   +2 more
openalex   +1 more source

Teachers’ Gestures and How They Matter

open access: yesTopics in Cognitive Science, EarlyView.
Abstract How do teachers’ gestures influence students’ learning? This article reviews research investigating the role of gestures in communication, focusing on teachers’ communication with their students, primarily in mathematics and science instruction.
R. Breckinridge Church   +4 more
wiley   +1 more source

A new upper bound for the growth factor in Gaussian elimination with complete pivoting

open access: yesBulletin of the London Mathematical Society, EarlyView.
Abstract The growth factor in Gaussian elimination measures how large the entries of an LU factorization can be relative to the entries of the original matrix. It is a key parameter in error estimates, and one of the most fundamental topics in numerical analysis. We produce an upper bound of n0.2079lnn+0.91$n^{0.2079 \ln n +0.91}$ for the growth factor
Ankit Bisain, Alan Edelman, John Urschel
wiley   +1 more source

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