Search results for "Functional analysis"

showing 10 items of 1059 documents

Non-separable local polynomial regression cell-average multiresolution operators. Application to compression of images

2016

Abstract Cell-average multiresolution Harten׳s algorithms have been satisfactorily used to compress data. These schemes are based on two operators: decimation and prediction. The accuracy of the method depends on the prediction operator. In order to design a precise function, local polynomial regression has been used in the last years. This paper is devoted to construct a family of non-separable two-dimensional linear prediction operators approximating the real values with this procedure. Some properties are proved as the order of the scheme and the stability. Some numerical experiments are performed comparing the new methods with the classical linear method.

Polynomial regressionDecimationMathematical optimizationComputer Networks and CommunicationsApplied Mathematics020206 networking & telecommunicationsLinear prediction010103 numerical & computational mathematics02 engineering and technologyFunction (mathematics)01 natural sciencesStability (probability)Separable spaceOperator (computer programming)Control and Systems EngineeringCompression (functional analysis)Signal Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsAlgorithmMathematicsJournal of the Franklin Institute
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Non-linear Local Polynomial Regression Multiresolution Methods Using $$\ell ^1$$-norm Minimization with Application to Signal Processing

2015

Harten’s Multiresolution has been developed and used for different applications such as fast algorithms for solving linear equations or compression, denoising and inpainting signals. These schemes are based on two principal operators: decimation and prediction. The goal of this paper is to construct an accurate prediction operator that approximates the real values of the signal by a polynomial and estimates the error using \(\ell ^1\)-norm in each point. The result is a non-linear multiresolution method. The order of the operator is calculated. The stability of the schemes is ensured by using a special error control technique. Some numerical tests are performed comparing the new method with…

Polynomial regressionDecimationMathematical optimizationSignal processingPolynomialOperator (computer programming)Computer scienceCompression (functional analysis)InpaintingData_CODINGANDINFORMATIONTHEORYAlgorithmLinear equation
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A new constructive method using the theory of invariants to obtain material behavior laws

2006

International audience; The aim of this paper is to present a constructive method to derive mechanical behavior laws using the Theory of Invariants and Continuum Thermodynamics. More precisely, we want to construct, in a general way, the state or dissipation potential in a polynomial form given a set of variables V and the material symmetry group S. For this purpose, we show how to obtain a set of generators for the S-invariant polynomials of V. Then, using the Grœbner basis concept, we write all the decompositions of a polynomial of a given degree.

PolynomialAnisotropic material[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]02 engineering and technologyTheory of invariants01 natural sciencesConstructiveSet (abstract data type)Constitutive behavior lawMaterials Science(all)0203 mechanical engineeringModelling and SimulationGeneral Materials Science0101 mathematicsMathematicsDegree (graph theory)Basis (linear algebra)Group (mathematics)Continuum (topology)Applied MathematicsMechanical EngineeringState (functional analysis)16. Peace & justiceCondensed Matter Physics010101 applied mathematics020303 mechanical engineering & transportsMechanics of MaterialsModeling and SimulationLaw[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]International Journal of Solids and Structures
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Spectrum of composition operators on S(R) with polynomial symbols

2020

Abstract We study the spectrum of operators in the Schwartz space of rapidly decreasing functions which associate each function with its composition with a polynomial. In the case where this operator is mean ergodic we prove that its spectrum reduces to {0}, while the spectrum of any non mean ergodic composition operator with a polynomial always contains the closed unit disc except perhaps the origin. We obtain a complete description of the spectrum of the composition operator with a quadratic polynomial or a cubic polynomial with positive leading coefficient.

PolynomialPure mathematicsComposition operatorGeneral Mathematics010102 general mathematicsSpectrum (functional analysis)Quadratic function01 natural sciencesOperator (computer programming)Schwartz space0103 physical sciencesErgodic theory010307 mathematical physics0101 mathematicsCubic functionMathematicsAdvances in Mathematics
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Stability and l1-gain analysis for positive 2D T–S fuzzy state-delayed systems in the second FM model

2014

This paper considers the problems of delay-dependent stability and l"1-gain analysis for a class of positive two-dimensional (2D) Takagi-Sugeno (T-S) fuzzy linear systems with state delays described by the second FM model. Firstly, the co-positive type Lyapunov function method is applied to establish sufficient conditions of asymptotical stability for the addressed positive 2D T-S fuzzy system. Then, the l"1-gain performance analysis for the positive 2D T-S fuzzy delayed system is studied. All the obtained results are formulated in the form of linear matrix inequalities (LMIs) which are computationally tractable. Finally, an illustrative example is given to verify the effectiveness of the p…

Positive 2D systemsLyapunov functionT-S fuzzy systemsCognitive NeuroscienceLinear systemLinear matrix inequalityDelay-dependent stabilityComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy control systemState (functional analysis)Fuzzy logicStability (probability)Computer Science Applicationssymbols.namesakeArtificial IntelligenceControl theorysymbolsCo-positive type Lyapunov functionFuzzy numberCo-positive type Lyapunov function; Delay-dependent stability; Positive 2D systems; T-S fuzzy systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial IntelligenceMathematicsNeurocomputing
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The behavior of solutions of a parametric weighted (p, q)-laplacian equation

2021

<abstract><p>We study the behavior of solutions for the parametric equation</p> <p><disp-formula> <label/> <tex-math id="FE1"> \begin{document}$ -\Delta_{p}^{a_1} u(z)-\Delta_{q}^{a_2} u(z) = \lambda |u(z)|^{q-2} u(z)+f(z,u(z)) \quad \mbox{in } \Omega,\, \lambda >0, $\end{document} </tex-math></disp-formula></p> <p>under Dirichlet condition, where $ \Omega \subseteq \mathbb{R}^N $ is a bounded domain with a $ C^2 $-boundary $ \partial \Omega $, $ a_1, a_2 \in L^\infty(\Omega) $ with $ a_1(z), a_2(z) > 0 $ for a.a. $ z \in \Omega $, $ p, q \in (1, \infty) $ and $ \Delta_{p}^{a_1}, \Delta_{q}^{a_2} $ are weighted …

Positive and negative solutionsGeneral MathematicsNodal solutionsLambdaOmegaCombinatoricssymbols.namesakeMathematics - Analysis of PDEsSettore MAT/05 - Analisi MatematicaQA1-939FOS: Mathematicspositive and negative solutionsResonant Carathéodory functionudc:517.956Physics35J20 35J60Spectrum (functional analysis)weighted (pWeighted (p q)-LaplacianDifferential operatorresonant Carathéodory functionweighted (pq)-LaplacianDirichlet boundary conditionBounded functionq)-laplacianDomain (ring theory)symbolsnodal solutionsParametric power termLaplace operatorMathematicsparametric power termAnalysis of PDEs (math.AP)
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A rank theorem for analytic maps between power series spaces

1994

Power seriesPure mathematicsGeneral MathematicsFundamental theorem of linear algebraDiscontinuous linear mapCombinatoricssymbols.namesakeFréchet spaceLagrange inversion theoremsymbolsOpen mapping theorem (functional analysis)Algebraic geometry and analytic geometryAnalytic functionMathematicsPublications mathématiques de l'IHÉS
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Integrated multi-omics investigations of metalloproteinases in colon cancer: Focus on MMP2 and MMP9

2021

Colorectal cancer (CRC) develops by genetic and epigenetic alterations. However, the molecular mechanisms underlying metastatic dissemination remain unclear and could benefit from multi-omics investigations of specific protein families. Matrix metalloproteinases (MMPs) are proteolytic enzymes involved in ECM remodeling and the processing of bioactive molecules. Increased MMP expression promotes the hallmarks of tumor progression, including angiogenesis, invasion, and metastasis, and is correlated with a shortened survival. Nevertheless, the collective role and the possible coordination of MMP members in CRC are poorly investigated. Here, we performed a multi-omics analysis of MMP expression…

ProteomicsMMP2Epithelial-Mesenchymal TransitionQH301-705.5Colorectal cancerBioinformaticsKaplan-Meier EstimateBiologyMatrix metalloproteinaseMMP9ArticleCatalysisEpigenesis GeneticMetastasisCohort StudiesInorganic ChemistryLymphocytes Tumor-InfiltratingmedicineHumansEpithelial–mesenchymal transitionBiology (General)Physical and Theoretical ChemistrySettore BIO/06 - Anatomia Comparata E CitologiaQD1-999Molecular BiologySpectroscopyTissue Inhibitor of Metalloproteinase-2Functional analysisMMP9Organic ChemistryProteolytic enzymesGeneral Medicinemedicine.diseasePrognosisComputer Science ApplicationsColon cancerExtracellular MatrixGene Expression Regulation NeoplasticChemistryMatrix metalloproteinasesMatrix Metalloproteinase 9Tumor progressionCase-Control StudiesColonic NeoplasmsCancer researchMatrix Metalloproteinase 2Gene expressionMMP2
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Measurement of proton electromagnetic form factors in the time-like region using initial state radiation at BESIII

2021

Physics letters / B 817, 136328 (2021). doi:10.1016/j.physletb.2021.136328

Protonannihilation [electron positron]01 natural sciencesform factor [electron]High Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)BESIII; Electromagnetic form factors; Initial state radiation; ProtonSubatomic Physicsangular distributionNuclear ExperimentPhysicsPhysicsForm factor (quantum field theory)initial-state interaction [radiation]Beijing Stormagnetic [form factor]ratio [form factor]electron positron --> p anti-pcolliding beams [electron positron]ProtonInitial State Radiationpair production [p]electromagnetic [form factor]Born approximationNuclear and High Energy Physicsdata analysis methodQC1-999FOS: Physical sciencesRadiation5303.773-4.600 GeV-cmsNONuclear physicsCross section (physics)Angular distributionElectromagnetic form factors0103 physical sciencesform factor [p]tree approximationddc:530010306 general physicsinitial stateBES010308 nuclear & particles physicshelicity [p]BESIIIState (functional analysis)(p anti-p) [mass spectrum]Electromagnetic form FactorsHigh Energy Physics::Experimentproduction [threshold]Initial state radiationexperimental results
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The Functional Analysis and Functional Analytic Clinical Case Formulation: A Case of Anorexia Nervosa

2009

PsychotherapistAnorexia nervosa (differential diagnoses)Clinical casePsychologyFunctional analysis (psychology)Acceptance and commitment therapy
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