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EOR
2011
134views more  EOR 2011»
14 years 4 months ago
Linear programming based decomposition methods for inventory distribution systems
We consider an inventory distribution system consisting of one warehouse and multiple retailers. The retailers face random demand and are supplied by the warehouse. The warehouse ...
Sumit Kunnumkal, Huseyin Topaloglu
VLSID
2003
IEEE
103views VLSI» more  VLSID 2003»
15 years 10 months ago
Minimum Dynamic Power CMOS Circuit Design by a Reduced Constraint Set Linear Program
In the previous work, the problem of nding gate delays to eliminate glitches has been solved by linear programs (LP) requiring an exponentially large number ofconstraints. By intr...
Tezaswi Raja, Vishwani D. Agrawal, Michael L. Bush...
AMAI
2006
Springer
14 years 9 months ago
Symmetric approximate linear programming for factored MDPs with application to constrained problems
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Dmitri A. Dolgov, Edmund H. Durfee
TIT
2008
122views more  TIT 2008»
14 years 9 months ago
An Efficient Pseudocodeword Search Algorithm for Linear Programming Decoding of LDPC Codes
Abstract--In linear programming (LP) decoding of a low-density parity-check (LDPC) code one minimizes a linear functional, with coefficients related to log-likelihood ratios, over ...
Michael Chertkov, Mikhail G. Stepanov
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 4 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf