Results 211 to 220 of about 1,911,572 (273)

Nonlinear Monte Carlo Methods with Polynomial Runtime for Bellman Equations of Discrete Time High-Dimensional Stochastic Optimal Control Problems. [PDF]

Appl Math Optim
Beck C, Jentzen A, Kleinberg K, Kruse T.
europepmc   +1 more source

Integrated artificial neurons from metal halide perovskites.

Mater Horiz
de Boer JJ, Ehrler B.
europepmc   +1 more source

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Stochastic Geometry

Lecture notes in mathematics, 2019
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications ...
Wilfrid S. Kendall, M. N. M. Lieshout, Ole E. Barndorff-Nielsen   +2 more
openaire   +3 more sources

Cache-Enabled UAV Emergency Communication Networks: Performance Analysis With Stochastic Geometry

IEEE Transactions on Vehicular Technology, 2023
The unmanned aerial vehicles (UAVs) are able to assist damaged cellular networks as aerial base stations (ABSs) due to their flexibility and affordability.
C. Fan, Xu Zhou, Tiankui Zhang, Wenqiang Yi, Yuanwei Liu   +4 more
semanticscholar   +1 more source

MIMO Assisted Networks Relying on Intelligent Reflective Surfaces: A Stochastic Geometry Based Analysis

IEEE Transactions on Vehicular Technology, 2022
Intelligent reflective surfaces (IRSs) are invoked for improving both the spectral efficiency (SE) and energy efficiency (EE). Specifically, an IRS-aided multiple-input multiple-output network is considered, where the performance of randomly roaming ...
Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, L. Hanzo   +5 more
semanticscholar   +1 more source

Modeling and Analysis of mmWave UAV Swarm Networks: A Stochastic Geometry Approach

IEEE Transactions on Wireless Communications, 2022
In order to evaluate the impacts of swarm distribution characteristics of unmanned aerial vehicles (UAVs) and the complexity of millimeter wave (mmWave) propagations on the coverage performance of UAV networks, this paper develops a stochastic geometry ...
Xiaoming Shi, Na Deng
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Multi-UAV Enabled Aerial-Ground Integrated Networks: A Stochastic Geometry Analysis

IEEE Transactions on Communications, 2022
Multiple unmanned aerial vehicles (UAVs) can function as aerial base stations to provide flexible and reliable communication services for massive ground devices (GDs).
Shangwei Zhang, Yajie Zhu, Jiajia Liu
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Stochastic Geometry for Wireless Networks

, 2012
Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices
M. Haenggi
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Stochastic Geometry and Its Applications.

Journal of the American Statistical Association, 1988
23. Stochastic Geometry and its Applications. By D. Stoyan, W. S. Kendall and J. Mecke. ISBN 0 471 90519 4. Wiley, 1987. 345p. £23.50. (Wiley Series in Probability and Mathematical Statistics. A co‐production with Akademie‐Verlag, GDR.)
B. D. Ripley, D. Stoyan, W. S. Kendall, J. Mecke   +3 more
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Stochastic Geometry

1993
Publisher Summary This chapter discusses stochastic geometry. Random points are the simplest random objects in geometry. They can be used in different ways, to generate a great variety of random geometrical objects, and they have applications in several domains—for instance, in statistics, computer geometry, and pattern analysis.
Weil, Wolfgang, Wieacker, John Andre
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