Results 51 to 60 of about 498,057 (167)

Locality-Aware Distribution Schemes.

, 2021
One of the bottlenecks in parallel query processing is the cost of shuffling data across nodes in a cluster. Ideally, given a distribution of the data across the nodes and a query, we want to execute the query by performing only local computation and no communication: in this case, the query is called parallel-correct with respect to the data ...
Sundarmurthy, Bruhathi, Koutris, Paraschos, Naughton, Jeffrey   +2 more
openaire   +3 more sources

Regional and local factors interact to shape colonization and extinction dynamics of invasive Hydrilla verticillata in a patchy landscape

Ecology and Evolution
Understanding the response of species to global change requires disentangling the drivers of their distributions across landscapes. Colonization and extinction processes, shaped by the interplay of landscape‐level and local patch‐level factors, are key ...
Joshua T. Armstrong, Lesley P. Bulluck, Andrew T. Davidson, Charles Ryland Stunkle, James R. Vonesh   +4 more
doaj   +1 more source

Martingales and Locality in Distributed Computing

BRICS Report Series, 1998
We use Martingale inequalities to give a simple and uniform analysis of two families of distributed randomised algorithms for edge colouring graphs.
openaire   +3 more sources

Singularity Classes of Special 2-Flags

Symmetry, Integrability and Geometry: Methods and Applications, 2009
In the paper we discuss certain classes of vector distributions in the tangent bundles to manifolds, obtained by series of applications of the so-called generalized Cartan prolongations (gCp).
Piotr Mormul
doaj   +1 more source

Densest Local Structures of Uniaxial Ellipsoids

Physical Review X, 2016
Connecting the collective behavior of disordered systems with local structure on the particle scale is an important challenge, for example, in granular and glassy systems.
Fabian M. Schaller, Robert F. B. Weigel, Sebastian C. Kapfer   +2 more
doaj   +1 more source

Noise-robust proofs of quantum network nonlocality [PDF]

Quantum
Quantum networks allow for novel forms of quantum nonlocality. By exploiting the combination of entangled states and entangled measurements, strong nonlocal correlations can be generated across the entire network.
Sadra Boreiri, Bora Ulu, Nicolas Brunner, Pavel Sekatski   +3 more
doaj   +1 more source

Distributed Localization: A Linear Theory

Proceedings of the IEEE, 2018
Fifth-generation (5G) networks providing much higher bandwidth and faster data rates will allow connecting vast number of stationary and mobile devices, sensors, agents, users, machines, and vehicles, supporting Internet-of-Things (IoT), real-time dynamic networks of mobile things . Positioning and location awareness will become increasingly important,
Sam Safavi, Usman A. Khan, Soummya Kar, Jose M. F. Moura   +3 more
openaire   +1 more source

Distributed Computation with Local Advice

Algorithms with advice have received ample attention in the distributed and online settings, and they have recently proven useful also in dynamic settings. In this work we study local computation with advice: the goal is to solve a graph problem Π with a distributed algorithm in T(Δ) communication rounds, for some function T that only depends on the ...
Alkida Balliu, Sebastian Brandt 0002, Fabian Kuhn, Krzysztof Nowicki 0002, Dennis Olivetti, Eva Rotenberg, Jukka Suomela   +6 more
openaire   +3 more sources

Distribution Approach to Local Volatility for European Options in the Merton Model with Stochastic Interest Rates

Entropy
The Dupire formula is a very useful tool for pricing financial derivatives. This paper is dedicated to deriving the aforementioned formula for the European call option in the space of distributions by applying a mathematically rigorous approach developed
Piotr Nowak, Dariusz Gatarek
doaj   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems
Explainable artificial intelligence (XAI) seeks to provide transparency to machine learning models, enabling users tounderstand how and why predictions are generated.
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
doaj   +1 more source