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» GMRES Methods for Least Squares Problems
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CPHYSICS
2006
204views more  CPHYSICS 2006»
13 years 8 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
JCC
2010
105views more  JCC 2010»
13 years 7 months ago
Fast determination of the optimal rotational matrix for macromolecular superpositions
: Finding the rotational matrix that minimizes the sum of squared deviations between two vectors is an important problem in bioinformatics and crystallography. Traditional algorith...
Pu Liu, Dimitris K. Agrafiotis, Douglas L. Theobal...
JMLR
2010
121views more  JMLR 2010»
13 years 3 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
JPDC
2006
148views more  JPDC 2006»
13 years 8 months ago
Efficient algorithm for placing a given number of base stations to cover a convex region
In the context of mobile communication, an efficient algorithm for the base-station placement problem is developed in this paper. The objective is to place a given number of base-...
Gautam K. Das, Sandip Das, Subhas C. Nandy, Bhaban...
DICTA
2003
13 years 10 months ago
Algebraic Curve Fitting Support Vector Machines
An algebraic curve is defined as the zero set of a multivariate polynomial. We consider the problem of fitting an algebraic curve to a set of vectors given an additional set of v...
Christian J. Walder, Brian C. Lovell, Peter J. Koo...