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» Convex Programming Methods for Global Optimization
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ICML
2008
IEEE
14 years 8 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr
ITC
1999
IEEE
107views Hardware» more  ITC 1999»
13 years 12 months ago
A high-level BIST synthesis method based on a region-wise heuristic for an integer linear programming
A high-level built-in self-test (BIST) synthesis involves several tasks such as system register assignment, interconnection assignment, and BIST register assignment. Existing high...
Han Bin Kim, Dong Sam Ha
JMLR
2012
11 years 10 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
CP
2005
Springer
14 years 1 months ago
Solving Large-Scale Nonlinear Programming Problems by Constraint Partitioning
Abstract. In this paper, we present a constraint-partitioning approach for finding local optimal solutions of large-scale mixed-integer nonlinear programming problems (MINLPs). Ba...
Benjamin W. Wah, Yixin Chen
ISPD
2006
ACM
158views Hardware» more  ISPD 2006»
14 years 1 months ago
Effective linear programming based placement methods
Linear programming (LP) based methods are attractive for solving the placement problem because of their ability to model Half-Perimeter Wirelength (HPWL) and timing. However, it h...
Sherief Reda, Amit Chowdhary