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APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
16 years 7 days 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
ICS
2001
Tsinghua U.
15 years 11 months ago
Optimizing strategies for telescoping languages: procedure strength reduction and procedure vectorization
At Rice University, we have undertaken a project to construct a framework for generating high-level problem solving languages that can achieve high performance on a variety of pla...
Arun Chauhan, Ken Kennedy
ECOOP
2000
Springer
15 years 11 months ago
Optimizing Java Programs in the Presence of Exceptions
The support for precise exceptions in Java, combined with frequent checks for runtime exceptions, leads to severe limitations on the compiler’s ability to perform program optimiz...
Manish Gupta, Jong-Deok Choi, Michael Hind
ICCAD
1994
IEEE
117views Hardware» more  ICCAD 1994»
15 years 10 months ago
Optimization of critical paths in circuits with level-sensitive latches
A simple extension of the critical path method is presented which allows more accurate optimization of circuits with level-sensitive latches. The extended formulation provides a s...
Timothy M. Burks, Karem A. Sakallah
VIP
2003
15 years 8 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao