Search results for "Iterative methods"

showing 10 items of 12 documents

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
researchProduct

System identification via optimised wavelet-based neural networks

2003

Nonlinear system identification by means of wavelet-based neural networks (WBNNs) is presented. An iterative method is proposed, based on a way of combining genetic algorithms (GAs) and least-square techniques with the aim of avoiding redundancy in the representation of the function. GAs are used for optimal selection of the structure of the WBNN and the parameters of the transfer function of its neurones. Least-square techniques are used to update the weights of the net. The basic criterion of the method is the addition of a new neurone, at a generic step, to the already constructed WBNN so that no modification to the parameters of its neurones is required. Simulation experiments and compa…

least squares approximations nonlinear dynamical systems identification neural nets iterative methods genetic algorithmsQuantitative Biology::Neurons and CognitionArtificial neural networkNonlinear system identificationIterative methodComputer scienceSystem identificationTransfer functionWaveletSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryRedundancy (engineering)Electrical and Electronic EngineeringRepresentation (mathematics)InstrumentationAlgorithmIEE Proceedings - Control Theory and Applications
researchProduct

Iterative altitude-aiding algorithm for improved GNSS positioning

2011

The system proposed in this study relies on a WAVE P2P network, which is a proper standard to fit the vehicular environment wireless communications requests. Starting from the chance to exchange information given by this infrastructure, the possibility to improve the performance of a global navigation satellite system (GNSS) receiver based on a Kalman filter is considered. This improvement is obtained exploiting the external altitude measurements provided by other peers in the network, equipped with GNSS receivers. The topic of an altitude-aided system has been described in a previous work, that highlighted the need for a parameter that points out the effectiveness and the consistency of th…

GNSS augmentationKalman filters; iterative methods; peer-to-peer computing; satellite navigationsatellite navigationComputer sciencebusiness.industryIterative methodReal-time computingSatellite systemKalman filterGNSS applicationspeer-to-peer computingPhysics::Space PhysicsWirelessiterative methodsSatellite navigationElectrical and Electronic EngineeringbusinessKalman filtersReliability (statistics)Simulation
researchProduct

Wardowski conditions to the coincidence problem

2015

In this article we first discuss the existence and uniqueness of a solution for the coincidence problem: Find p ∈ X such that Tp = Sp, where X is a nonempty set, Y is a complete metric space, and T, S:X → Y are two mappings satisfying a Wardowski type condition of contractivity. Later on, we will state the convergence of the Picard-Juncgk iteration process to the above coincidence problem as well as a rate of convergence for this iteration scheme. Finally, we shall apply our results to study the existence and uniqueness of a solution as well as the convergence of the Picard-Juncgk iteration process toward the solution of a second order differential equation. Ministerio de Economía y Competi…

Statistics and ProbabilityIterative methodsIterative methodCoincidence pointsComplete metric space54H25common fixed pointsConvergence (routing)Applied mathematicsUniquenessMathematicsApplied Mathematics and Statistics47J25lcsh:T57-57.97Applied MathematicsMathematical analysisOrder (ring theory)State (functional analysis)Rate of convergencecoincidence pointsRate of convergenceordinary differential equationsOrdinary differential equationlcsh:Applied mathematics. Quantitative methodsCommon fixed pointsiterative methodslcsh:Probabilities. Mathematical statisticslcsh:QA273-280rate of convergenceFrontiers in Applied Mathematics and Statistics
researchProduct

Evaluating a hierarchical approach to landscape level harvest scheduling

2018

Forest planning at the landscape level has the potential to become a large intractable problem. In Finland, Metsähallitus (the state enterprise that manages federally owned land) creates strategic plans to determine the appropriate harvest level. While these plans are feasible, they are not implementable in practice as the harvests are scattered temporally and spatially. Requiring that harvests be organized both temporally and spatially for practical implementation can result in an intractable problem. Through a hierarchical approach, the problem can be organized into steps in which the intractable problem is broken down into smaller easily solvable parts. As an approximation technique, the…

OptimizationpuunkorjuuStochastic systemslandscape-level planningIterative methodshierarchical planningtactical planningpäätöksentekoStochastic programmingmetsätalousiterointiStrategic planningstrateginen suunnitteluHarvestingmaisemasuunnitteluDecision makingstokastiset prosessit
researchProduct

Advanced techniques for solving groundwater and surface water problems in the context of inverse methods and climate change.

2021

[ES] El tema de la investigación se centra en técnicas avanzadas para manejar problemas de aguas subterráneas y superficiales relacionados con métodos inversos y cambio climático. Los filtros de Kalman, con especial atención en Ensemble Smoother with Multiple Data Assimilation (ES-MDA), se analizan y mejoran para la solución de diferentes tipos de problemas inversos. En particular, la principal novedad es la aplicación de estos métodos para la identificación de series temporales. La primera parte de la tesis, luego de la descripción del método, presenta el desarrollo de un software escrito en Python para la aplicación de la metodología propuesta. El software cuenta con un flujo de trabajo f…

Inverse problemsMathematical optimizationINGENIERIA HIDRAULICAComputer scienceIterative methodsContext (language use)HydrographSurface waterAguas superficialesCovarianceInverse problemStochastic analysisFiltro de KalmanSurrogate modelCambio climáticoClimate changeEnsemble Kalman filterClimate modelAnálisis estocásticoAguas subterráneasKalman filterMetodos iterativosGroundwaterFlow routing
researchProduct

An analytical model for PQ sources in backward/forward methods for distribution networks analysis

2004

In this paper a model of PQ sources useful for distribution systems analysis is developed. In the considered systems there are, in addition to HV/MV sources, other PQ buses, namely active and reactive power supply nodes (Vδ nodes). The general solution strategy is an iterative forward/backward method, in which the state variables are the node voltages. If it is weakly meshed, the network is turned into radial by means of cuts and compensation currents. After the presentation of the general problem, the equations expressing the unknowns for the PQ nodes are treated in detail. These equations belong to the backward sweep of the algorithm. The methodology has been implemented and applied so as…

Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDispersed generation Iterative methods Load flow analysis Distribution networks
researchProduct

Integrating risk management tools for regional forest planning : an interactive multiobjective value at risk approach

2018

In this paper, we present an approach employing multiobjective optimization to support decision making in forest management planning under risk. The primary objectives are biodiversity and timber cash flow, evaluated from two perspectives: the expected value and the value-at-risk (VaR). In addition, the risk level for both the timber cash flow and biodiversity values are included as objectives. With our approach, we highlight the trade-off between the expected value and the VaR, as well as between the VaRs of the two objectives of interest. We employ an interactive method in which a decision maker iteratively provides preference information to find the most preferred management plan and lea…

Pareto optimalityRisk perceptioninteractive multiobjective optimizationEconomic and social effectsIterative methodsmetsänkäsittelyriskienhallintaForestryTimbermetsäsuunnitteluBiodiversityValue engineeringriskinarviointiepävarmuusRisk managementmultiobjective optimizationmetsänhoitoPareto principle
researchProduct

The CC3 model : An iterative coupled cluster approach including connected triples

1997

An alternative derivation of many-body perturbation theory (MBPT) has been given, where a coupled cluster parametrization is used for the wave function and the method of undetermined Lagrange multipliers is applied to set up a variational coupled cluster energy expression. In this variational formulation, the nth-order amplitudes determine the energy to order 2n+1 and the nth-order multipliers determine the energy to order 2n+2. We have developed an iterative approximate coupled cluster singles, doubles, and triples model CC3, where the triples amplitudes are correct through second order and the singles amplitudes are treated without approximations due to the unique role of singles as appro…

PhysicsMany-body problemsIterative methodIterative methodsGeneral Physics and AstronomyRelaxation (iterative method)Function (mathematics)Perturbation theoryFull configuration interactionUNESCO::FÍSICA::Química físicaPhysics and Astronomy (all)Coupled clusterCoupled cluster calculationsPerturbation theory ; Many-body problems ; Coupled cluster calculations ; Iterative methods ; Wave functions ; Variational techniquesComputational chemistryPerturbation theoryPhysical and Theoretical ChemistryPhysics::Chemical PhysicsWave function:FÍSICA::Química física [UNESCO]ParametrizationWave functionsMathematical physicsVariational techniques
researchProduct

Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer

2022

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division multiple access (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral efficiency and resistance towards inter symbol interference (ISI) however when exposed to substantial nonlinear distortion the issue of MAI manifests. Such distortion results when the power amplifiers are driven into saturation or when the transmit signal experiences extreme adverse channel conditions. The proposed technique uses a modified iterative block decision feedback equalizer (IB-DFE) that uses a minimal mean square error (MMSE) receiver …

General Computer ScienceIterative methodsMultiaccess communicationReceiversMMSENonlinear distortionCodesFeedbackCDMA[SPI]Engineering Sciences [physics]CDMA OFDM MAI MMSE IB-DFE Maximum Likelihood (ML)General Materials ScienceSpectral efficiencyMaximum likelihood (Ml)Electrical and Electronic EngineeringOFDMDecision feedback equalizers[PHYS]Physics [physics]TelecomunicacionesPower amplifiersGeneral EngineeringMAIMaximum Likelihood (ML)Multicarrier code division multiple accessAI and TechnologiesBit error rateIB-DFESignal detectionEngineering Research GroupIEEE Access
researchProduct