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AAIM
2007
Springer
145views Algorithms» more  AAIM 2007»
16 years 11 days ago
Improved Approximation Algorithms for Predicting RNA Secondary Structures with Arbitrary Pseudoknots
We study three closely related problems motivated by the prediction of RNA secondary structures with arbitrary pseudoknots: the MAXIMUM BASE PAIR STACKINGS problem proposed by Ieon...
Minghui Jiang
FOCS
2003
IEEE
15 years 11 months ago
Approximation Algorithms for Orienteering and Discounted-Reward TSP
In this paper, we give the rst constant-factor approximationalgorithmfor the rooted Orienteering problem, as well as a new problem that we call the Discounted-Reward TSP, motivate...
Avrim Blum, Shuchi Chawla, David R. Karger, Terran...
DAC
1996
ACM
15 years 10 months ago
Efficient Approximation Algorithms for Floorplan Area Minimization
Approximation has been shown to be an eective method for reducing the time and space costs of solving various oorplan area minimization problems. In this paper, we present several...
Danny Z. Chen, Xiaobo Hu
ICALP
2010
Springer
15 years 11 months ago
The Positive Semidefinite Grothendieck Problem with Rank Constraint
Given a positive integer n and a positive semidefinite matrix A = (Aij ) ∈ Rm×m the positive semidefinite Grothendieck problem with rank-nconstraint is (SDPn) maximize mX i=1 ...
Jop Briët, Fernando Mário de Oliveira ...
STOC
2004
ACM
118views Algorithms» more  STOC 2004»
16 years 6 months ago
Boosted sampling: approximation algorithms for stochastic optimization
Several combinatorial optimization problems choose elements to minimize the total cost of constructing a feasible solution that satisfies requirements of clients. In the STEINER T...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...