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» Minimization of an M-convex Function
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DAM
2008
91views more  DAM 2008»
13 years 9 months ago
The Newton Bracketing method for the minimization of convex functions subject to affine constraints
The Newton Bracketing method [9] for the minimization of convex functions f : Rn R is extended to affinely constrained convex minimization problems. The results are illustrated for...
Adi Ben-Israel, Yuri Levin
WCE
2007
13 years 10 months ago
A Multidimensional Bisection Method for Minimizing Function over Simplex
—A new method for minimization problem over simplex, as a generalization of a well-known in onedimensional optimization bisection method is proposed. The convergence of the metho...
A. N. Baushev, E. Y. Morozova
VLSID
1996
IEEE
135views VLSI» more  VLSID 1996»
14 years 1 months ago
Cubical CAMP for minimization of Boolean functions
The paper presents QCAMP, a cube-based algorithm for minimization of single Boolean functions. The algorithm does not generate all the prime cubes, nor does it require the Off-set...
Nripendra N. Biswas, C. Srikanth, James Jacob
IPCO
2001
95views Optimization» more  IPCO 2001»
13 years 10 months ago
Bisubmodular Function Minimization
This paper presents the first combinatorial polynomial algorithm for minimizing bisubmodular functions, extending the scaling algorithm for submodular function minimization due to ...
Satoru Fujishige, Satoru Iwata
CONSTRAINTS
2008
138views more  CONSTRAINTS 2008»
13 years 9 months ago
Minimization of Locally Defined Submodular Functions by Optimal Soft Arc Consistency
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose algorithms have high-order polynomial time complexi...
Martin C. Cooper