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» On the Convergence of Bound Optimization Algorithms
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145
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MP
2006
137views more  MP 2006»
15 years 4 months ago
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
Yu-Hong Dai, Roger Fletcher
SAT
2004
Springer
97views Hardware» more  SAT 2004»
15 years 9 months ago
Using Lower-Bound Estimates in SAT-Based Pseudo-Boolean Optimization
Linear Pseudo-Boolean constraints offer a much more compact formalism to express significant boolean problems in several areas, ranging from Artificial Intelligence to Electroni...
Vasco M. Manquinho, João P. Marques Silva
EOR
2008
136views more  EOR 2008»
15 years 4 months ago
Complexity and exact algorithms for vertex multicut in interval and bounded treewidth graphs
Multicut is a fundamental network communication and connectivity problem. It is defined as: given an undirected graph and a collection of pairs of terminal vertices, find a minimu...
Jiong Guo, Falk Hüffner, Erhan Kenar, Rolf Ni...
144
Voted
FOCS
2004
IEEE
15 years 8 months ago
An Optimal Randomised Cell Probe Lower Bound for Approximate Nearest Neighbour Searching
We consider the approximate nearest neighbour search problem on the Hamming cube {0, 1}d. We show that a randomised cell probe algorithm that uses polynomial storage and word size...
Amit Chakrabarti, Oded Regev
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 10 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál