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We present extensive simulation studies on the performance of algorithms for the Compton sequence reconstruction used for the development of a portable spectroscopic instrument (COCAE), with the capa...
Sparse PCA: Convex Relaxations, Algorithms and Applications     Sparse PCA  Algorithms  Applications       font style='font-size:12px;'> 2010/11/22
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonzero coefficients in th...
Galois Theory of Algorithms     Galois Theory of Algorithms  math       font style='font-size:12px;'> 2010/11/8
Many different programs are the implementation of the same algorithm. This makes the collection of algorithms a quotient of the collection of programs. Similarly, there are many different algorithms ...
Trajectory averaging for stochastic approximation MCMC algorithms     Trajectory averaging  MCMC algorithms       font style='font-size:12px;'> 2010/11/18
The subject of stochastic approximation was founded by Robbins and Monro [Ann. Math. Statist. 22 (1951) 400--407]. After five decades of continual development, it has developed into an important area...
Optimized gyrosynchrotron algorithms and fast codes      radiation mechanisms  nonthermal  methods  numerical  Sun: flares       font style='font-size:12px;'> 2010/11/16
Gyrosynchrotron (GS) emission of charged particles spiraling in magnetic fields plays an exceptionally important role in astrophysics. In particular, this mechanism makes a dominant contribution to ...
Genetic algorithms and the analysis of SnIa data      Genetic algorithms  analysis of SnIa data        font style='font-size:12px;'> 2010/12/21
The Genetic Algorithm is a heuristic that can be used to produce model independent solutions to an optimization problem, thus making it ideal for use in cosmology and more specifically in the analysis...
We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distr...
Genetic algorithms and the analysis of SnIa data      Genetic algorithms  the analysis of SnIa data        font style='font-size:12px;'> 2010/11/12
The Genetic Algorithm is a heuristic that can be used to produce model independent solutions to an optimization problem, thus making it ideal for use in cosmology and more specifically in the analysis...
Golden and Alternating, fast simple O(lg n) algorithms for Fibonacci     fast simple O(lg n) algorithm  math       font style='font-size:12px;'> 2010/11/24
Two very fast and simple O(lg n) algorithms for individual Fibonacci numbers are given and compared to competing algorithms. A simple O(lg n) recursion is derived that can also be applied to Lucas. A...
Linear differential equations are ubiquitous in science and engineering. Quantum computers can simulate quantum systems, which are described by homogeneous linear differential equations that produce o...
Libpsht (or "library for Performant Spherical Harmonic Transforms") is a collection of algorithms for efficient conversion between spatial-domain and spectral-domain representations of data defined on...
Fast error-tolerant quartet phylogeny algorithms     Fast error-tolerant  quartet phylogeny  algorithms       font style='font-size:12px;'> 2010/11/15
We present an algorithm for phylogenetic reconstruction using quartets that returns the correct topology for $n$ taxa in $O(n \log n)$ time with high probability, in a probabilistic model where a quar...
One of the most important questions in studying quantum computation is: whether a quantum computer can solve NP-complete problems more efficiently than a classical computer? In 2000, adiabatic quantu...
There are good reasons to believe that we are classical algorithms run on (effectively) classical machines. However, the fact that a physical state of a system in a universe described by a classical d...
It is well known that every Del Pezzo surface of degree 5 defined over k is parametrizable over k. In this paper we give an efficient construction for parametrizing, as well as algorithms for construc...

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