Search results for "algorithm."

showing 10 items of 4617 documents

Interior Eigenvalue Density of Jordan Matrices with Random Perturbations

2017

International audience; We study the eigenvalue distribution of a large Jordan block subject to a small random Gaussian perturbation. A result by E. B. Davies and M. Hager shows that as the dimension of the matrix gets large, with probability close to 1, most of the eigenvalues are close to a circle.We study the expected eigenvalue density of the perturbed Jordan block in the interior of that circle and give a precise asymptotic description.; Nous étudions la distribution de valeurs propres d’un grand bloc de Jordan soumis à une petite perturbation gaussienne aléatoire. Un résultat de E. B. Davies et M. Hager montre que quand la dimension de la matrice devient grande, alors avec probabilité…

[ MATH ] Mathematics [math]Jordan matrixSpectral theoryGaussian010102 general mathematicsMathematical analysisPerturbation (astronomy)Mathematics::Spectral Theory01 natural sciences010104 statistics & probabilityMatrix (mathematics)symbols.namesakesymbolsRandom perturbations[MATH]Mathematics [math]MSC: 47A10 47B80 47H40 47A550101 mathematicsDivide-and-conquer eigenvalue algorithmSpectral theoryEigenvalue perturbationEigenvalues and eigenvectorsNon-self-adjoint operatorsMathematics
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Spectral approach to D-bar problems

2017

We present the first numerical approach to D-bar problems having spectral convergence for real analytic, rapidly decreasing potentials. The proposed method starts from a formulation of the problem in terms of an integral equation that is numerically solved with Fourier techniques. The singular integrand is regularized analytically. The resulting integral equation is approximated via a discrete system that is solved with Krylov methods. As an example, the D-bar problem for the Davey-Stewartson II equations is considered. The result is used to test direct numerical solutions of the PDE.© 2017 Wiley Periodicals, Inc.

[ MATH ] Mathematics [math]Spectral approachInverse conductivity problemBar (music)General MathematicsElectrical-impedance tomographyFOS: Physical sciences2 dimensions010103 numerical & computational mathematics01 natural sciencesDiscrete systemsymbols.namesakeConvergence (routing)FOS: MathematicsApplied mathematicsUniquenessStewartson-ii equationsMathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]Electrical impedance tomographyReconstruction algorithmsNumerical-solutionMathematicsNonlinear Sciences - Exactly Solvable and Integrable SystemsApplied MathematicsNumerical Analysis (math.NA)Integral equation010101 applied mathematicsFourier transformsymbolsUniquenessExactly Solvable and Integrable Systems (nlin.SI)
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Automatic detection of P, QRS and T patterns in 12 leads ECG signal based on CWT

2016

International audience; In this paper, a new method based on the continuous wavelet transform is described in order to detect the QRS, P and T waves. QRS, P and T waves may be distinguished from noise, baseline drift or irregular heartbeats. The algorithm, described in this paper, has been evaluated using the Computers in Cardiology (CinC) Challenge 2011 database and also applied on the MIT-BIH Arrhythmia database (MITDB). The data from the CinC Challenge 2011 are standard 12 ECG leads recordings with full diagnostic bandwidth compared to the MITDB which only includes two leads for each ECG signal. Firstly, our algorithm is validated using fifty 12 leads ECG samples from the CinC collection…

[ MATH ] Mathematics [math][ INFO ] Computer Science [cs]Computer science0206 medical engineeringYouden's J statisticHealth Informatics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyQRS[SPI]Engineering Sciences [physics]QRS complexT waveT waves0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][INFO]Computer Science [cs][MATH]Mathematics [math]wavelet transformContinuous wavelet transformECGPdelineationECGP waveWavelet transformP020601 biomedical engineering3. Good healthSignal Processing020201 artificial intelligence & image processingEcg leadEcg signalAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Méthodes géometriques en mécanique spatiale et aspects numériques

2005

We present in this thesis two research projectson the optimal control of the space vehicles.In the first, we have dealt with the orbit transferproblem. We study the minimum time control of a satellite that we want to reach a geostationary orbit. Our contribution is of two kinds. Geometric, first, since we study the controllability of the system together with the geometry of the transfer (structure of the command) by means of geometric control without state constraint tools (minimum principle). Then we present shootingalgorithm and homotopy method. These approaches allow the numerical resolution of problems with strong or low thrust satellites.The second project concerns to the calculation o…

[ MATH ] Mathematics [math]algorithme de tir multipleorbital transfer[MATH] Mathematics [math]<br /> optimal control with state constraints<br />méthode de continuationtransfert orbitalnecessary optimality conditionshomotopy method.rentrée atmosphériqueconditions nécessaires d'optimalitéatmospheric re-entry<br /> multiple shooting algorithm[MATH]Mathematics [math]contrôle optimal avec contraintes sur l'état<br />méthode de continuation.méthodes numériques indirectes
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A simple algorithm for finding short sigma-definite representatives

2010

We describe a new algorithm which for each braid returns a quasi-geodesic sigma-definite word representative, defined as a braid word in which the generator sigma_i with maximal index i appears either only positively or only negatively.

[ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]Braid groupbraid monoids20F3620M0506F05Group Theory (math.GR)02 engineering and technology01 natural sciences[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]Mathematics::Group TheoryMathematics::Category TheoryMathematics::Quantum AlgebraFOS: MathematicsBraidBraid group0101 mathematicsSIMPLE algorithmMathematicsDiscrete mathematicsGenerator (computer programming)algorithmAlgebra and Number Theory010102 general mathematicsSigmaComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)021001 nanoscience & nanotechnologyMathematics::Geometric Topologybraid orderingIndex (publishing)0210 nano-technologyMathematics - Group TheoryWord (computer architecture)Journal of Algebra
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Les tresses : de la topologie à la cryptographie

2009

International audience; Ce texte est une présentation sur les groupes de tresses destinée à un public de non mathématiciens.

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]AlgorithmesNoeuds[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]20F36Groupes de tresses[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]
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Hyperbolic knots and cyclic branched covers

2021

International audience; We collect several results on the determination of hyperbolic knots by means of their cyclic branched covers. We construct examples of knots having two common cyclic branched covers. Finally, we brie y discuss the problem of determination of hyperbolic links

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]Pure mathematicsGeneral Mathematics010102 general mathematicsConstruct (python library)Mathematics::Geometric Topology01 natural sciences[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]0103 physical sciences010307 mathematical physics0101 mathematicsAlgorithm[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]MathematicsPublicacions Matemàtiques
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Convergence rate of a relaxed inertial proximal algorithm for convex minimization

2018

International audience; In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial proximal algorithms that aim to solve monotone inclusions. In this paper, we specialize this study in the case of non-smooth convex minimization problems. We obtain convergence rates for values which have similarities with the results based on the Nesterov accelerated gradient method. The joint adjustment of inertia, relaxation and proximal terms plays a central role. In doing so, we highlight inertial proximal algorithms that converge for general monotone inclusions, and which, in the case of convex minimization, give fast convergence rates of values in the worst case.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Class (set theory)Control and OptimizationInertial frame of referenceLyapunov analysis0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Research01 natural sciencessymbols.namesakenonsmooth convex minimizationrelaxationweak-convergence0101 mathematics[MATH]Mathematics [math]point algorithmMathematics021103 operations researchWeak convergence[QFIN]Quantitative Finance [q-fin]Applied MathematicsHilbert space[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]dynamicsmaximally monotone operatorsInertial proximal method010101 applied mathematicsMonotone polygonRate of convergenceConvex optimizationmaximal monotone-operatorssymbolsRelaxation (approximation)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]subdifferential of convex functionsAlgorithm
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Computation of conjugate times in smooth optimal control: the COTCOT algorithm

2006

Conjugate point type second order optimality conditions for extremals associated to smooth Hamiltonians are evaluated by means of a new algorithm. Two kinds of standard control problems fit in this setting: the so-called regular ones, and the minimum time singular single-input affine systems. Conjugate point theory is recalled in these two cases, and two applications are presented: the minimum time control of the Kepler and Euler equations.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Differential equationComputation010102 general mathematics05 social sciences050301 education[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal control01 natural sciencesEuler equationssymbols.namesakesymbolsOrder (group theory)Point (geometry)Affine transformation[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematics0503 educationAlgorithmMathematicsConjugate
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Recherche Tabou Robuste pour l'allocation de fréquences

2014

National audience; 1. Problématique : depuis le démarrage des réseaux cellulaires (2G, 3G, 3.5G), les opérateurs configuraient manuellement la gestion des paramètres réseau. Avec l'apparition des réseaux 4G/LTE, la notion de Self-Organizing Network (SON) a vu le jour. Les SON introduisent des fonctions avancées de paramétrage automatique du réseau en fonction de la demande. Grâce à cette technologie, les opérateurs peuvent désormais améliorer la flexibilité et les performances du réseau en réduisant les coûts d'exploitation. Notre objectif est de proposer des solutions algorithmiques pouvant s'appliquer au SON. 2. Méthodologie : le problème d'allocation de fréquences est NP-difficile car il…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]optimisation[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]algorithme tabouSONscénariosrobustesse
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