Titlebook: Network Optimization; Panos M. Pardalos,Donald W. Hearn,William W. Hager Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 199

Coenzyme

书目名称Network Optimization影响因子(影响力)




书目名称Network Optimization影响因子(影响力)学科排名




书目名称Network Optimization网络公开度




书目名称Network Optimization网络公开度学科排名




书目名称Network Optimization被引频次




书目名称Network Optimization被引频次学科排名




书目名称Network Optimization年度引用




书目名称Network Optimization年度引用学科排名




书目名称Network Optimization读者反馈




书目名称Network Optimization读者反馈学科排名

Amylase

,Implementations of Dijkstra’s Algorithm Based on Multi-Level Buckets,A 2-level bucket data structure [6] has been shown to perform well in a Dijkstra’s algorithm implementation [4]. In this paper we study how the implementation performance depends on the number of bucket levels used. In particular we are interested in the best number of levels to use in practice.

冬眠

Lecture Notes in Economics and Mathematical Systemshttp://image.papertrans.cn/n/image/662823.jpg

伪书

地名表

978-3-540-62541-4Springer-Verlag Berlin Heidelberg 1997

合法

放逐某人

Solving the Nonadditive Traffic Equilibrium Problem, simply the sum of the costs on the arcs that constitute that path. The method we describe is based on the recent NE/SQP algorithm, a fast and robust technique for solving nonlinear complementarity problems. Finally, we present an example that illustrates both the importance of using nonadditive costs and the effectiveness of the NE/SQP method.

Constant

,ɛ-Relaxation and Auction Methods for Separable Convex Cost Network Flow Problems,ying framework for the ∈-relaxation method and the auction/sequential shortest path algorithm and, as a consequence, we develop a unified complexity analysis for the two methods. We also present computational results showing that these methods are much faster than earlier relaxation methods, particularly for ill-conditioned problems.

较早

Minatory

A Communication Assignment Problem on Trees: Heuristics and Asymptotic Behavior,torial structure of the problem at hand.The second part of the paper investigates the asymptotic behavior of the CAP-T. It is shown that, under natural probabilistic constraints on the problem data, the ratio between the maximum and the minimum values of the objective function taken over the whole s