NSF CAREER Proposal Approximation Algorithms for Geometric Computing 下载文档 收藏 打印 转格式 38阅读文档大小:456.59K21页luyinyzha上传于2015-06-05格式:PDF The Design of Approximation Algorithms 热度: experimental comparison of five approximation algorithms for… ...
Approximation algorithms for some routing problems SIAM J. Comput., 7 (1978), pp. 178-193 CrossrefGoogle Scholar [11] A.M. Frieze Worst-case analysis of algorithms for the traveling salesman problem Oper. Res. Verfahren, 32 (1979), pp. 93-112 Google Scholar [12] A.M. Frieze An exten...
We present an approximation algorithm for a special class of conflict graphs with a bounded graph parameter Clique Partition. A Clique Partition of the graph G is a set of cliques such that every vertex in the graph is part of exactly one clique. For any Clique Partition C, we define the...
the circular disk has the greatest area. This is a very old result that has been generalized in many directions. Apart from the fact that one does not need convexity here, essentially the same result holds in all scenarios in which the notions of “perimeter” and “area” can ...
INTRODUCTION 8.1 This chapter surveys approximation algorithms for hard geometric problems. The problems we consider typically take inputs that are point sets or polytopes in two- or three-dimensional space, and seek optimal constructions, (which may be trees, paths, or polytopes). We limit attenti...
Second, we give two fast approximation schemes for the MDST, i.e. factor-(1 + ε) approximation algorithms. One uses a grid and takes O( 1 ε 6 + n) time. The other uses a well-separated pair decomposition and takes O( n
However, it is not known whether a general robust GP can be reformulated as a tractable optimization problem that interior-point or other algorithms can efficiently solve. In this paper we propose an approximation method that seeks a compromise between solution accuracy and computational efficiency. ...
Efficiently accessing the information contained in non-linear and high dimensional probability distributions remains a core challenge in modern statistics. Traditionally, estimators that go beyond point estimates are either categorized as Variational Inf
The red line segment is the first approximation (in parameter space) to the geodesic. The error is significant. Notice that the true length is 0.787856 but the approximating curve has length 0.831760. The "appr curv" measurement, 0.893990 in the image, is the integral of the curvature along ...
The oth- ers tools rely on the use of pre-defined templates to let a user construct a diagram that is a close approximation of what the user has in mind. QuickDraw allows a user to express intent by sketching the diagram itself. It then tries to understand the user's intent through ...