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» The Guarding Problem - Complexity and Approximation
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NIPS
2008
15 years 8 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
IPCO
2001
166views Optimization» more  IPCO 2001»
15 years 8 months ago
Approximate k-MSTs and k-Steiner Trees via the Primal-Dual Method and Lagrangean Relaxation
Garg [10] gives two approximation algorithms for the minimum-cost tree spanning k vertices in an undirected graph. Recently Jain and Vazirani [16] discovered primal-dual approxima...
Fabián A. Chudak, Tim Roughgarden, David P....
SODA
1997
ACM
114views Algorithms» more  SODA 1997»
15 years 8 months ago
Better Approximation Guarantees for Job-shop Scheduling
Job-shop scheduling is a classical NP-hard problem. Shmoys, Stein, and Wein presented the first polynomial-time approximation algorithm for this problem that has a good (polylogar...
Leslie Ann Goldberg, Mike Paterson, Aravind Sriniv...
FSTTCS
2003
Springer
15 years 12 months ago
On the Covering Steiner Problem
The Covering Steiner problem is a common generalization of the k-MST and Group Steiner problems. An instance of the Covering Steiner problem consists of an undirected graph with ed...
Anupam Gupta, Aravind Srinivasan
175
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IFIP
2004
Springer
16 years 1 days ago
Solving Packing Problem with Weaker Block Solvers
We study the general packing problem with M constraints. In [Jansen and Zhang, TCS 2002] a c(1 + ε)-approximation algorithm for the general packing problem was proposed. A block s...
Hu Zhang