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The application of sparse approximation techniques faces two main problems: (i) algorithms for performing sparse decomposition and their performance analysis and (ii) dictionary composition methods.
SBSI is a modular software suite composed of three major components: SBSINumerics, a high-performance library containing parallelized algorithms for performing parameter fitting; SBSIDispatcher, a middleware application to track experiments and submit jobs to back-end servers; and SBSIVisual, an extensible client application used to configure optimization experiments and view results.
The software side consists of algorithms for performing data partitioning and Naive Bayes classifier.
SALIPS also provides some physical properties of the elements and includes algorithms for performing the simulation of spectra.
To date, the best algorithms for performing placement on Field-Programmable Gate Arrays (FPGAs) are based on Simulated Annealing (SA).
Given their applicability in dynamic networks, we focus on developing fast distributed algorithms for performing random walks in such networks.
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We developed an algorithm for performing simulation of Japanese yukata.
We introduce a variant of the conventional binary collision algorithm for performing Coulomb collisions.
Collision-free schedule is generated by a distributed algorithm for performing data aggregation in wireless sensor network.
This work proposes a novel algorithm for performing robust feature-based stereo-matching, without the ordering constraint.
We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

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CEO of Professional Science Editing for Scientists @ prosciediting.com