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CIAC
2010
Springer
282views Algorithms» more  CIAC 2010»
14 years 3 days ago
Improved Approximations for TSP with Simple Precedence Constraints
In this paper, we consider variants of the traveling salesman problem with precedence constraints. We characterize hard input instances for Christofides' algorithm and Hoogeve...
Hans-Joachim Boeckenhauer, Ralf Klasing, Tobias Mo...
MOR
2007
149views more  MOR 2007»
13 years 8 months ago
LP Rounding Approximation Algorithms for Stochastic Network Design
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
Anupam Gupta, R. Ravi, Amitabh Sinha
CORR
2007
Springer
131views Education» more  CORR 2007»
13 years 8 months ago
Approximation Algorithms for Multiprocessor Scheduling under Uncertainty
Motivated by applications in grid computing and projects management, we study multiprocessor scheduling in scenarios where there is uncertainty in the successful execution of jobs...
Guolong Lin, Rajmohan Rajaraman
JDA
2006
90views more  JDA 2006»
13 years 8 months ago
An improved approximation algorithm for the asymmetric TSP with strengthened triangle inequality
We consider the asymmetric traveling salesperson problem with -parameterized triangle inequality for [1/2, 1). That means, the edge weights fulfill w(u, v)
Markus Bläser, Bodo Manthey, Jiri Sgall
NIPS
2004
13 years 10 months ago
VDCBPI: an Approximate Scalable Algorithm for Large POMDPs
Existing algorithms for discrete partially observable Markov decision processes can at best solve problems of a few thousand states due to two important sources of intractability:...
Pascal Poupart, Craig Boutilier