SDELab 解随机微分方程的一个Matlab工具包 A package for solving stochastic differential equations in MATLAB
标签： differential stochastic equations package
上传时间： 2013-12-19
上传用户：er1219
A stochastic Parts Program and Noun Phrase Parser for Unrestricted Text
标签： Unrestricted stochastic Program Parser
上传时间： 2013-12-29
上传用户：lhw888
java Labyrinth game；Provides two kinds to produce map s way stochastically: The stochastic distribution point method and the chart depth first traversal the law two kinds.It can searches the shortest way to demonstrate automatically
标签： stochastically stochastic Labyrinth distribut
上传时间： 2016-06-13
上传用户：qilin
一种基于概率的数据降维处理方法：stochastic Neighbor Embedding
标签： stochastic Embedding Neighbor 概率
上传时间： 2016-11-27
上传用户：yan2267246
A stochastic Time-to-Digital Converter for Digital Phase-Locked Loops
标签： Time-to-Digital Phase-Locked stochastic Converter
上传时间： 2014-01-16
上传用户：ANRAN
SIMULATION AND ESTIMATION OF stochastic DIFFERENTIAL EQUATIONS WITH MATLAB
标签： DIFFERENTIAL SIMULATION ESTIMATION stochastic
上传时间： 2017-01-18
上传用户：宋桃子
Solving stochastic Differential Equations with Maple By Sasha Cyganowski
标签： Differential Cyganowski stochastic Equations
上传时间： 2017-03-02
上传用户：qq1604324866
Designing delivery districts for the vehicle routing problem with stochastic demands
标签： stochastic Designing districts delivery
上传时间： 2013-12-13
上传用户：大三三
stochastic diff equ, 随即微分方程的,比较使用
标签： stochastic diff equ 微分方程
上传时间： 2017-07-24
上传用户：Thuan
Part I provides a compact survey on classical stochastic geometry models. The basic models defined in this part will be used and extended throughout the whole monograph, and in particular to SINR based models. Note however that these classical stochastic models can be used in a variety of contexts which go far beyond the modeling of wireless networks. Chapter 1 reviews the definition and basic properties of Poisson point processes in Euclidean space. We review key operations on Poisson point processes (thinning, superposition, displacement) as well as key formulas like Campbell’s formula. Chapter 2 is focused on properties of the spatial shot-noise process: its continuity properties, its Laplace transform, its moments etc. Both additive and max shot-noise processes are studied. Chapter 3 bears on coverage processes, and in particular on the Boolean model. Its basic coverage characteristics are reviewed. We also give a brief account of its percolation properties. Chapter 4 studies random tessellations; the main focus is on Poisson–Voronoi tessellations and cells. We also discuss various random objects associated with bivariate point processes such as the set of points of the first point process that fall in a Voronoi cell w.r.t. the second point process.
标签： stochastic Geometry Networks Wireless Volume and
上传时间： 2020-06-01
上传用户：shancjb
