نتایج جستجو برای: geometric random variable

تعداد نتایج: 608815  

2014

4.* Use 3. to show that the average number of visits to a > 0 before returning to the origin is 1 (hint: show that it is closely related to the expectation of some geometric random variable). Solution: let Na be the number of visits to a before returning to 0. Using question 3. one has P(Na = 0) = 1 2 + 1 2 (1− 1/a) (call that probability q). Note that once you’ve made a visit to a (that is giv...

2005
Nicholas M. Katz

trace function 45, 46-48, 50, 51, 56, 62, 64 adapted stratification 12, 24, 26, 37, 38, 46, 48, 63, 121, 408 additive character sums 2, 7, 8, 111-158, 161-183, 270-280, 427-428 analytic rank 8, 443, 444, 445, 447, 449, 451, 453 analytic rank, geometric see "geometric analytic rank" analytic rank, quadratic see "quadratic analytic rank" Analytic Rank Theorem 445, 450-454 approximate trace fu...

Journal: :Computer Communications 2010
Leonidas Tzevelekas Konstantinos Oikonomou Ioannis Stavrakakis

0140-3664/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.comcom.2010.01.026 q This work has been supported in part by the proje Architecture) (IST-27489), the PENED 2003 program Research and Technology (GSRT) co-financed by the and by National Sources (25%) and the NoE CONTENT * Corresponding author. Address: National and Kapo Department of Informatics and Telecommunications, I Tel.: +30...

Journal: :Journal of the American Statistical Association 2017

Journal: :International Journal of Bifurcation and Chaos 2009

Journal: :Discrete Applied Mathematics 2009

Journal: :Progress in probability 2021

Given a dense countable set in metric space, the infinite random geometric graph is with given vertex and where any two points at distance less than 1 are connected, independently, some fixed probability. It has been observed by Bonato Janssen that some, but not all, such settings, resulting does depend on choices, sense it almost surely isomorphic to graph. While this notion makes general cont...

Geometric programming is efficient tool for solving a variety of nonlinear optimizationproblems. Geometric programming is generalized for solving engineering design. However,Now Geometric programming is powerful tool for optimization problems where decisionvariables have exponential form.The geometric programming method has been applied with known parameters. However,the observed values of the ...

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