Search results for "calculu"

showing 10 items of 642 documents

An output-only stochastic parametric approach for the identification of linear and nonlinear structures under random base excitations: Advances and c…

2014

In this paper a time domain output-only Dynamic Identification approach for Civil Structures (DICS) first formulated some years ago is reviewed and presented in a more generalized form. The approach in question, suitable for multi- and single-degrees-of-freedom systems, is based on the statistical moments and on the correlation functions of the response to base random excitations. The solving equations are obtained by applying the Itô differential stochastic calculus to some functions of the response. In the previous version ([21] Cavaleri, 2006; [22] Benfratello et al., 2009), the DICS method was based on the use of two classes of models (Restricted Potential Models and Linear Mass Proport…

Civil structureMathematical optimizationBase excitationGeneralizationMechanical EngineeringSystem identificationStochastic calculusAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsWhite noiseWhite noiseCondensed Matter PhysicsNonlinear systemSettore ICAR/09 - Tecnica Delle CostruzioniNuclear Energy and EngineeringNonlinear stiffneApplied mathematicsNonlinear dampingTime domainSystem identificationCivil and Structural EngineeringMathematicsParametric statisticsEquation solving
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Oscillatory Behavior of Second-Order Nonlinear Neutral Differential Equations

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/143614 Open Access We study oscillatory behavior of solutions to a class of second-order nonlinear neutral differential equations under the assumptions that allow applications to differential equations with delayed and advanced arguments. New theorems do not need several restrictive assumptions required in related results reported in the literature. Several examples are provided to show that the results obtained are sharp even for second-order ordinary differential equations and improve related contributions to the subject.

Class (set theory)Article SubjectDifferential equationlcsh:MathematicsApplied MathematicsDelay differential equationlcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Integrating factorExamples of differential equationsStochastic partial differential equationNonlinear systemOrdinary differential equationCalculusApplied mathematicsAnalysisMathematicsAbstract and Applied Analysis
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Second-Order Calculus on RCD Spaces

2020

In this conclusive chapter we introduce the class of those metric measure spaces that satisfy the Riemannian curvature-dimension condition, briefly called RCD spaces, and we develop a thorough second-order differential calculus over these structures.

Class (set theory)Computer scienceMetric (mathematics)CalculusmedicineOrder (group theory)Differential calculusMathematics::Differential Geometrymedicine.diseaseMeasure (mathematics)Calculus (medicine)
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On the Calmness of a Class of Multifunctions

2002

The paper deals with the calmness of a class of multifunctions in finite dimensions. Its first part is devoted to various conditions for calmness, which are derived in terms of coderivatives and subdifferentials. The second part demonstrates the importance of calmness in several areas of nonsmooth analysis. In particular, we focus on nonsmooth calculus and solution stability in mathematical programming and in equilibrium problems. The derived conditions find a number of applications there.

Class (set theory)Mathematics::Optimization and ControlCalculusStability (learning theory)CalmnessSoftwarePhysics::GeophysicsTheoretical Computer ScienceMathematicsSIAM Journal on Optimization
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A tour of the theory of absolutely minimizing functions

2004

A detailed analysis of the class of absolutely minimizing functions in Euclidean spaces and the relationship to the infinity Laplace equation

Class (set theory)Pure mathematicsHarnack's principleApplied MathematicsGeneral MathematicsInfinity LaplacianEuclidean geometryCalculusHarnack's inequalityMathematicsBulletin of the American Mathematical Society
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Knot Theory, Jones Polynomial and Quantum Computing

2005

Knot theory emerged in the nineteenth century for needs of physics and chemistry as these needs were understood those days. After that the interest of physicists and chemists was lost for about a century. Nowadays knot theory has made a comeback. Knot theory and other areas of topology are no more considered as abstract areas of classical mathematics remote from anything of practical interest. They have made deep impact on quantum field theory, quantum computation and complexity of computation.

Classical mathematicsPure mathematicsComputer scienceComputationCalculusJones polynomialQuantum field theoryMathematics::Geometric TopologyTime complexityPhysics::History of PhysicsTopology (chemistry)Quantum computerKnot theory
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A cognitive architecture for inner speech

2020

Abstract A cognitive architecture for inner speech is presented. It is based on the Standard Model of Mind, integrated with modules for self-talking. Briefly, the working memory of the proposed architecture includes the phonological loop as a component which manages the exchanging information between the phonological store and the articulatory control system. The inner dialogue is modeled as a loop where the phonological store hears the inner voice produced by the hidden articulator process. A central executive module drives the whole system, and contributes to the generation of conscious thoughts by retrieving information from long-term memory. The surface form of thoughts thus emerges by …

Cognitive scienceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer scienceWorking memoryCognitive Neurosciencemedia_common.quotation_subjectInner speechExperimental and Cognitive PsychologyContext (language use)Cognition02 engineering and technologyCognitive architectureCognitive architecture03 medical and health sciences0302 clinical medicineArtificial IntelligencePerception0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBaddeley's model of working memoryEvent calculus030217 neurology & neurosurgerySoftwareHumanoid robotmedia_common
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Classification générique de synthèses temps minimales avec cible de codimension un et applications

1997

In this article we consider the problem of constructing the optimal closed loop control in the time minimal control problem, with terminal constraints belonging to a manifold of codimension one, for systems of the form v = X + uY, v ϵ R2, R3, |u| ≤ 1 under generic assumptions. The analysis is localized near the terminal manifold and is motivated by the problem of controlling a class of chemical systems.

CombinatoricsClass (set theory)Terminal (electronics)lawApplied MathematicsCalculusCodimensionManifold (fluid mechanics)Mathematical PhysicsAnalysisMathematicslaw.inventionAnnales de l'Institut Henri Poincare (C) Non Linear Analysis
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The best choice problem with an unknown number of objects

1993

The secretary problem with a known prior distribution of the number of candidates is considered. Ifp(i)=p(N=i),i ∈ [α, β] ∩ ℕ, whereα=inf{i ∈ℕ:p(i) > 0} andβ=sup{i ∈ℕ:p(i)≳0}, is the prior distribution of the numberN of candidates it will be shown that, if the optimal stopping rule is of the simple form, then the optimal stopping indexj=minΓ satisfies asymptotically (asβ → ∞) the equationj=exp $${{\left[ {\left( {\sum\limits_{i = max(\alpha ,j)}^\beta {p(i) \log (i)/i} } \right)} \right]} \mathord{\left/ {\vphantom {{\left[ {\left( {\sum\limits_{i = max(\alpha ,j)}^\beta {p(i) \log (i)/i} } \right)} \right]} {\left. {\left( {\sum\limits_{i = max(\alpha ,j)}^\beta {p(i)/i} } \right) - 1} \ri…

CombinatoricsStopping setGeneral MathematicsStopping ruleCalculusOptimal stopping ruleManagement Science and Operations ResearchChoice problemSoftwareMathematicsZOR Zeitschrift f�r Operations Research Methods and Models of Operations Research
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Extension of The Stochastic Differential Calculus To Complex Processes

1996

In structural engineering complex processes arise to predict the first excursion failure, fatigue failure, etc. Indeed to solve these problems the envelope function, which is the modulus of a complex process, is usually introduced. In this paper the statistics of the complex response process related to the envelope statistics of linear systems subjected to parametric stationary normal white noise input are evaluated by using extensively the properties of stochastic differential calculus.

Complex responseProcess (engineering)Multivariable calculusExcursionLinear systemMathematical analysisApplied mathematicsDifferential calculusWhite noiseMathematicsParametric statistics
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