Search results for "Computational Mathematic"

showing 10 items of 987 documents

Adaptive Distance-Based Pooling in Convolutional Neural Networks for Audio Event Classification

2020

In the last years, deep convolutional neural networks have become a standard for the development of state-of-the-art audio classification systems, taking the lead over traditional approaches based on feature engineering. While they are capable of achieving human performance under certain scenarios, it has been shown that their accuracy is severely degraded when the systems are tested over noisy or weakly segmented events. Although better generalization could be obtained by increasing the size of the training dataset, e.g. by applying data augmentation techniques, this also leads to longer and more complex training procedures. In this article, we propose a new type of pooling layer aimed at …

Feature engineeringAcoustics and Ultrasonicsbusiness.industryComputer scienceFeature vectorFeature extractionPoolingPattern recognitionConvolutional neural network030507 speech-language pathology & audiology03 medical and health sciencesComputational MathematicsTransformation (function)Feature (computer vision)Adaptive systemComputer Science (miscellaneous)Artificial intelligenceElectrical and Electronic Engineering0305 other medical sciencebusinessIEEE/ACM Transactions on Audio, Speech, and Language Processing
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Avoiding strange attractors in efficient parametric families of iterative methods for solving nonlinear problems

2019

[EN] Searching zeros of nonlinear functions often employs iterative procedures. In this paper, we construct several families of iterative methods with memory from one without memory, that is, we have increased the order of convergence without adding new functional evaluations. The main aim of this manuscript yields in the advantage that the use of real multidimensional dynamics gives us to decide among the different classes designed and, afterwards, to select its most stable members. Moreover, we have found some elements of the family whose behavior includes strange attractors of different kinds that must be avoided in practice. In this sense, Feigenbaum diagrams have resulted an extremely …

Feigenbaum diagramsNumerical AnalysisMathematical optimizationRelation (database)Iterative methodApplied MathematicsNonlinear problems010103 numerical & computational mathematicsConstruct (python library)01 natural sciencesComputational efficiency010101 applied mathematicsComputational MathematicsNonlinear systemRate of convergenceAttractorIterative methods with and without memoryNumerical tests0101 mathematicsMATEMATICA APLICADAQualitative analysisMathematicsParametric statisticsApplied Numerical Mathematics
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More restrictive Gray codes for some classes of pattern avoiding permutations

2009

In a recent article [W.M.B. Dukes, M.F. Flanagan, T. Mansour, V. Vajnovszki, Combinatorial Gray codes for classes of pattern avoiding permutations, Theoret. Comput. Sci. 396 (2008) 35-49], Dukes, Flanagan, Mansour and Vajnovszki present Gray codes for several families of pattern avoiding permutations. In their Gray codes two consecutive objects differ in at most four or five positions, which is not optimal. In this paper, we present a unified construction in order to refine their results (or to find other Gray codes). In particular, we obtain more restrictive Gray codes for the two Wilf classes of Catalan permutations of length n; two consecutive objects differ in at most two or three posit…

Fibonacci number010103 numerical & computational mathematics0102 computer and information sciences01 natural sciencesComputer Science ApplicationsTheoretical Computer ScienceCatalan numberCombinatoricsGray codePermutation010201 computation theory & mathematics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Signal ProcessingOrder (group theory)0101 mathematicsComputingMilieux_MISCELLANEOUSBinomial coefficientInformation SystemsMathematicsInformation Processing Letters
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Application of Operator Splitting Methods in Finance

2016

Financial derivatives pricing aims to find the fair value of a financial contract on an underlying asset. Here we consider option pricing in the partial differential equations framework. The contemporary models lead to one-dimensional or multidimensional parabolic problems of the convection-diffusion type and generalizations thereof. An overview of various operator splitting methods is presented for the efficient numerical solution of these problems.

FinanceMathematical optimizationPartial differential equationbusiness.industry010103 numerical & computational mathematicsType (model theory)01 natural sciencesLinear complementarity problem010101 applied mathematicsOperator splittingValuation of optionsFair valueJump modelEconomicsAsset (economics)0101 mathematicsbusinessMathematical economics
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BEM application on an external problem comparison with both theoretical and finite elements results and observations on divergence strip

1992

Abstract By means of a computer program the Boundary Element Method is applied to a central hole in an undefined plate with uniform load along the boundary. Results are compared with those obtained by Kirsch's theoretical solution and a previous analysis by the Finite Element Method. The calculus of percentage error shows the advantage of the Boundary Element Method on the external problem with regard to the Finite Element Method. The error causes near the boundary internal points are analysed with the existence of a strip, where the result is not reliable in evidence.

Finite element limit analysisApplied MathematicsMathematical analysisGeneral EngineeringGeometryMixed finite element methodBoundary knot methodSingular boundary methodFinite element methodComputational MathematicsMethod of fundamental solutionsBoundary element methodAnalysisMathematicsExtended finite element methodEngineering Analysis with Boundary Elements
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On the convergence of a finite volume method for the Navier–Stokes–Fourier system

2020

Abstract The goal of the paper is to study the convergence of finite volume approximations of the Navier–Stokes–Fourier system describing the motion of compressible, viscous and heat-conducting fluids. The numerical flux uses upwinding with an additional numerical diffusion of order $\mathcal O(h^{ \varepsilon +1})$, $0<\varepsilon <1$. The approximate solutions are piecewise constant functions with respect to the underlying polygonal mesh. We show that the numerical solutions converge strongly to the classical solution as long as the latter exists. On the other hand, any uniformly bounded sequence of numerical solutions converges unconditionally to the classical solution of t…

Finite volume methodApplied MathematicsGeneral Mathematics010103 numerical & computational mathematics01 natural sciences010101 applied mathematicsComputational Mathematicssymbols.namesakeFourier transformConvergence (routing)symbolsApplied mathematicsNavier stokes0101 mathematicsMathematicsIMA Journal of Numerical Analysis
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An adaptive rectangular mesh administration and refinement technique with application in cancer invasion models

2022

We present an administration technique for the bookkeeping of adaptive mesh refinement on (hyper-)rectangular meshes. Our technique is a unified approach for h-refinement on 1-, 2- and 3D domains, which is easy to use and avoids traversing the connectivity graph of the ancestry of mesh cells. Due to the employed rectangular mesh structure, the identification of the siblings and the neighbouring cells is greatly simplified. The administration technique is particularly designed for smooth meshes, where the smoothness is dynamically used in the matrix operations. It has a small memory footprint that makes it affordable for a wide range of mesh resolutions over a large class of problems. We pre…

Finite volume methodRC0254 Neoplasms. Tumors. Oncology (including Cancer)Applied MathematicsT-NDASCancer invasionNumerical Analysis (math.NA)Mesh administration510Adaptive mesh refinementRC0254Computational MathematicsSDG 3 - Good Health and Well-beingFOS: MathematicsMathematics - Numerical AnalysisQA Mathematicsh-refinementddc:510QA
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Objective function design for robust optimality of linear control under state-constraints and uncertainty

2009

We consider a model for the control of a linear network flow system with unknown but bounded demand and polytopic bounds on controlled flows. We are interested in the problem of finding a suitable objective function that makes robust optimal the policy represented by the so-called linear saturated feedback control. We regard the problem as a suitable differential game with switching cost and study it in the framework of the viscosity solutions theory for Bellman and Isaacs equations. © 2009 EDP Sciences, SMAI.

Flow control (data)Mathematical optimizationControl and OptimizationControl (management)State (functional analysis)Optimal control viscosity solutions differential games switching flow control networksOptimal controlComputational MathematicsControl and Systems EngineeringControl theoryViscosity (programming)Bounded functionDifferential gameMathematicsLinear control
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Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering

2017

Clustering is an unsupervised machine learning and pattern recognition method. In general, in addition to revealing hidden groups of similar observations and clusters, their number needs to be determined. Internal clustering validation indices estimate this number without any external information. The purpose of this article is to evaluate, empirically, characteristics of a representative set of internal clustering validation indices with many datasets. The prototype-based clustering framework includes multiple, classical and robust, statistical estimates of cluster location so that the overall setting of the paper is novel. General observations on the quality of validation indices and on t…

Fuzzy clusteringlcsh:T55.4-60.8Computer scienceSingle-linkage clusteringCorrelation clustering02 engineering and technologycomputer.software_genrelcsh:QA75.5-76.95Theoretical Computer Scienceprototype-based clusteringCURE data clustering algorithm020204 information systemsprototype-based clustering; clustering validation index; robust statisticsConsensus clusteringalgoritmit0202 electrical engineering electronic engineering information engineeringlcsh:Industrial engineering. Management engineeringCluster analysisk-medians clusteringta113Numerical Analysisbusiness.industryPattern recognitionDetermining the number of clusters in a data setComputational MathematicsComputingMethodologies_PATTERNRECOGNITIONComputational Theory and Mathematicsrobust statistics020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceArtificial intelligenceData miningtiedonlouhintabusinessclustering validation indexcomputerAlgorithms
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Quantum chemical modelling of polarons and perovskite solid solutions

2001

Abstract Following our previous study [J. Phys.: Condens. Matter 10 (1998) 6271] of a single Nb impurity and Nb clusters in KTaO 3 , we present results of the calculations for a series of perovskite KNb x Ta 1− x O 3 (KTN) solid solutions ( x =0, 0.125, 0.25, 0.75, 1). The quantum chemical method of the intermediate neglect of the differential overlap (INDO) combined with the large unit cell (LUC) periodic model is used. According to the INDO calculations, Nb impurity becomes off-center in KTaO 3 already at the lowest studied concentrations ( x =0.125), in a good agreement with XAFS measurements. We compare our results with previous ab initio FP-LMTO calculations. Quantum chemical calculati…

General Computer ScienceChemistryAb initioGeneral Physics and AstronomyGeneral ChemistryElectronPolaronMolecular physicsX-ray absorption fine structureComputational MathematicsMechanics of MaterialsImpurityComputational chemistryGeneral Materials ScienceGround statePerovskite (structure)Solid solutionComputational Materials Science
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