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129
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ISCOPE
1999
Springer
15 years 8 months ago
Generic Graph Algorithms for Sparse Matrix Ordering
Fill-reducing sparse matrix orderings have been a topic of active research for many years. Although most such algorithms are developed and analyzed within a graph-theoretical frame...
Lie-Quan Lee, Jeremy G. Siek, Andrew Lumsdaine
124
Voted
IPCO
2004
107views Optimization» more  IPCO 2004»
15 years 5 months ago
A Robust Optimization Approach to Supply Chain Management
Abstract. We propose a general methodology based on robust optimization to address the problem of optimally controlling a supply chain subject to stochastic demand in discrete time...
Dimitris Bertsimas, Aurélie Thiele
149
Voted
SAGA
2009
Springer
15 years 10 months ago
Scenario Reduction Techniques in Stochastic Programming
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
Werner Römisch
105
Voted
IFIP
1994
Springer
15 years 7 months ago
Program Speedups in Theory and Practice
The aim of this discussion paper is to stimulate (or perhaps to provoke) stronger interactions among theoreticians and practitioners interested in efficient problem solutions. We ...
Neil D. Jones
WOTUG
2008
15 years 5 months ago
Solving the Santa Claus Problem: a Comparison of Various Concurrent Programming Techniques
Abstract. The Santa Claus problem provides an excellent exercise in concurrent programming and can be used to show the simplicity or complexity of solving problems using a particul...
Jason Hurt, Jan Bækgaard Pedersen