New sequential and parallel algorithms for computing the β-spectrum

Parallel Computing Algorithms for Tandem Mass Spectrum Analysis

New Sequential and Parallel Derivative-Free Algorithms for Unconstrained Minimization

This paper presents sequential and parallel derivative-free algorithms for finding a local minimum of smooth and nonsmooth functions of practical interest. It is proved that, under mild assumptions, a sufficient decrease condition holds for a nonsmooth function. Based on this property, the algorithms explore a set of search directions and move to a point with a sufficiently lower functional val...

Parallel and Sequential Optical Computing

We present a number of computational complexity results for an optical model of computation called the continuous space machine. We also describe an implementation for an optical computing algorithm that can be easily defined within the model. Our optical model is designed to model a wide class of optical computers, such as matrix vector multipliers and pattern recognition architectures. It is ...

Sequential and parallel algorithms for DNA sequencing

MOTIVATION Reconstruction of the original DNA sequence in the sequencing by the hybridization approach (SBH) requires computational support due to a large number of possible combinations. One can notice a lack of algorithms admitting false-negative data and giving in addition all possible solutions. RESULTS In this paper, a new method of sequencing has been proposed. An algorithm based on its...

Efficient Algorithms for Computing the beta-spectrum