Laplace

拉普拉斯(Pierre-SimonLaplace,1749－1827)是法国分析学家、概率论学家和物理学家，法国科学院院士。1749年3月23日生于法国西北部卡尔瓦多斯的博蒙昂诺日，1827年3月5日卒于巴黎。1816年被选为法兰西学院院士，1817年任该院院长。1812年发表了重要的《概率分析理论》一书，在该书中总结了当时整个概率论的研究，论述了概率在选举审判调查、气象等方面的应用，导入「拉普拉斯变换」等。他是决定论的支持者，提出了拉普拉斯妖。他致力于挽救世袭制的没落：他当了六个星期的拿破仑的内政部长，后来成为元老院的掌玺大臣，并在拿破仑皇帝时期和路易十八时期两度获颁爵位，后被选为法兰西学院院长。拉普拉斯曾任拿破仑的老师，所以和拿破仑结下不解之缘。

Solutions are obtained for Poissson, diffusion, or wave PDEs homogeneous or nonhomogeneous equations

Solutions are obtained for Poissson, diffusion, or wave PDEs homogeneous or nonhomogeneous equations and/or boundary conditions rectangular, cylindrical, or spherical coordinates time, Laplace, or frequency domains Dirichlet, Neumann, Robin, singular, periodic, or incoming/outgoing boundary conditions. Output is suitable for pasting into LaTeX documents.

标签： nonhomogeneous homogeneous Solutions diffusion

上传时间： 2015-10-30

上传用户：JasonC
Stochastic Geometry and Wireless Networks Volume I

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