The matching problem is well-known to be efficiently solvable, that is, there are algorithms that solve the matching problem using polynomial space and time.
We will show that sampling and random walks can be used to obtain sublinear-time exact algorithms for this problem [3–5]. In particular, we will describe a ...
In this talk, we will describe some results that illustrate surprising effectiveness of randomization in solving exact and approximate matching problems in ...
In this talk, we will describe some results that illustrate surprising effectiveness of randomization in solving exact and approximate matching problems in ...
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Mar 10, 2014 · The maximum matching problem is among the most well-studied problems in combinatorial optimization with many applications.
To conclude this introduction, we discuss background on phylogenetic trees, random matchings, diffusion problems, zonal polynomials, and the Metropolis.
Random walks also provide a general approach to sampling a geometric distri- bution. To sample a given distribution, we set up a random walk whose steady.
Random walks can be used to reach \obscure" parts of large sets, and also to generate random elements in large and complicated sets, such as the set of lattice ...
Sep 29, 2020 · We wish to draw samples from some probability distribution without knowing its exact height at any point. Key Idea 7 : “Wander around” on that ...
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...