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CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 2 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
ASPDAC
2009
ACM
184views Hardware» more  ASPDAC 2009»
13 years 11 months ago
FastRoute 4.0: global router with efficient via minimization
The number of vias generated during the global routing stage is a critical factor for the yield of final circuits. However, most global routers only approach the problem by chargin...
Yue Xu, Yanheng Zhang, Chris Chu
NIPS
1993
13 years 8 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
ICCSA
2005
Springer
14 years 1 months ago
Comparison of Global Optimization Methods for Drag Reduction in the Automotive Industry
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...
Laurent Dumas, Vincent Herbert, Frédé...
APLAS
2006
ACM
13 years 11 months ago
Combining Offline and Online Optimizations: Register Allocation and Method Inlining
Abstract. Fast dynamic compilers trade code quality for short compilation time in order to balance application performance and startup time. This paper investigates the interplay o...
Hiroshi Yamauchi, Jan Vitek