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» A New Approach to Strongly Polynomial Linear Programming
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BMCBI
2002
108views more  BMCBI 2002»
15 years 1 months ago
A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Sean R. Eddy
CORR
2008
Springer
139views Education» more  CORR 2008»
15 years 1 months ago
Exact two-terminal reliability of some directed networks
Abstract-- The calculation of network reliability in a probabilistic context has long been an issue of practical and academic importance. Conventional approaches (determination of ...
Christian Tanguy
POPL
2007
ACM
16 years 1 months ago
Locality approximation using time
Reuse distance (i.e. LRU stack distance) precisely characterizes program locality and has been a basic tool for memory system research since the 1970s. However, the high cost of m...
Xipeng Shen, Jonathan Shaw, Brian Meeker, Chen Din...
DAM
2008
111views more  DAM 2008»
15 years 1 months ago
Sums of squares based approximation algorithms for MAX-SAT
We investigate the Semidefinite Programming based Sums of squares (SOS) decomposition method, designed for global optimization of polynomials, in the context of the (Maximum) Sati...
Hans van Maaren, Linda van Norden, M. J. H. Heule
ORL
2006
105views more  ORL 2006»
15 years 1 months ago
Inventory placement in acyclic supply chain networks
The strategic safety stock placement problem is a constrained separable concave minimization problem and so is solvable, in principle, as a sequence of mixed-integer programming p...
Thomas L. Magnanti, Zuo-Jun Max Shen, Jia Shu, Dav...