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» Disk Packing in a Square: A New Global Optimization Approach
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INFORMS
2008
48views more  INFORMS 2008»
13 years 3 months ago
Disk Packing in a Square: A New Global Optimization Approach
Bernardetta Addis, Marco Locatelli, Fabio Schoen
COMBINATORICS
2000
95views more  COMBINATORICS 2000»
13 years 4 months ago
Improving Dense Packings of Equal Disks in a Square
We describe a new numerical procedure for generating dense packings of disks and spheres inside various geometric shapes. We believe that in some of the smaller cases, these packi...
David W. Boll, Jerry Donovan, Ronald L. Graham, Bo...
CSB
2005
IEEE
117views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Protein Structure Prediction Using Physical-Based Global Optimization and Knowledge-Guided Fragment Packing
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
Jinhui Ding, Elizabeth Eskow, Nelson L. Max, Silvi...
DAM
2008
111views more  DAM 2008»
13 years 4 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
JMLR
2010
121views more  JMLR 2010»
12 years 11 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor