Download Algorithms and Data Structures: 2nd Workshop, WADS '91 by Walter Cunto, J. Ian Munro, Patricio V. Poblete (auth.), PDF

By Walter Cunto, J. Ian Munro, Patricio V. Poblete (auth.), Frank Dehne, Jörg-Rüdiger Sack, Nicola Santoro (eds.)

This quantity offers the complaints of the second one Workshop on Algorithms and knowledge constructions (WADS '91), held at Carleton collage in Ottawa. The workshop used to be geared up via the varsity of laptop technological know-how at Carleton collage. The workshop alternates with the Scandinavian Workshop on set of rules concept (SWAT), carrying on with the culture of SWAT '88 (LNCS, Vol. 318), WADS '89 (LNCS, Vol. 382), and SWAT '90 (LNCS, Vol. 447). From 107 papers submitted, 37 have been chosen for presentation on the workshop. additionally, there have been five invited presentations.

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LNCS, vol. 2719, pp. 145–156. Springer, Heidelberg (2003) 3. : The approximation gap for the metric facility location problem is not yet closed. Operations Research Letters (ORL) 35(3), 379–384 (2007) 4. : Improved combinatorial algorithms for facility location and k-median problems. In: Proc. of the 40th IEEE Symp. on Foundations of Computer Science (FOCS), pp. 378–388. IEEE Computer Society Press, Los Alamitos (1999) 5. : Improved approximation algorithms for uncapacitated facility location. In: Proc.

240–257 (2002) 16. : Approximation algorithms for facility location problems (Lecture Notes), Report No. pdf 17. : Approximating the two-level facility location problem via a quasi-greedy approach. Mathematical Programming, Ser. A 108, 159–176 (2006) Improved Approximation Algorithms for the Spanning Star Forest Problem Ning Chen1, , Roee Engelberg2, , C. il 1 Abstract. A star graph is a tree of diameter at most two. A star forest is a graph that consists of node-disjoint star graphs. In the spanning star forest problem, given an unweighted graph G, the objective is to find a star forest that contains all the vertices of G and has the maximum number of edges.

Dokl. 4 (1963) 10. : Budget optimization in searchbased advertising auctions. In: Proceedings of the 8th ACM Conference on Electronic Commerce, (to appear) 11. : A multiple-choice secretary problem with applications to online auctions. In: SODA, pp. 630–631 (2005) 12. : Average-case analysis of off-line and on-line knapsack problems. In: SODA, pp. 179–188 (1995) 13. : Stochastic on-line knapsack problems. Mathematical Programming 68, 73–104 (1995) 14. : Randomized Algorithms. Cambridge University Press, Cambridge (1995) 15.

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