Search results for "OPTIMIZATION"

showing 10 items of 2824 documents

Strengthened splitting methods for computing resolvents

2021

In this work, we develop a systematic framework for computing the resolvent of the sum of two or more monotone operators which only activates each operator in the sum individually. The key tool in the development of this framework is the notion of the “strengthening” of a set-valued operator, which can be viewed as a type of regularisation that preserves computational tractability. After deriving a number of iterative schemes through this framework, we demonstrate their application to best approximation problems, image denoising and elliptic PDEs. FJAA and RC were partially supported by the Ministry of Science, Innovation and Universities of Spain and the European Regional Development Fund …

Splitting algorithmControl and Optimization0211 other engineering and technologies47H05 90C30 65K05Elliptic pdesMonotonic function02 engineering and technology01 natural sciencesMonotone operatorOperator (computer programming)Development (topology)Estadística e Investigación OperativaFOS: Mathematics0101 mathematicsImage denoisingResolventMathematics - Optimization and ControlMathematicsResolvent021103 operations researchApplied Mathematics010102 general mathematicsAlgebraComputational MathematicsMonotone polygonOptimization and Control (math.OC)StrengtheningKey (cryptography)Computational Optimization and Applications
researchProduct

Unfolding dynamics of small peptides biased by constant mechanical forces

2018

We show how multi-ensemble Markov state models can be combined with constant-force equilibrium simulations. Besides obtaining the unfolding/folding rates, Markov state models allow gaining detailed insights into the folding dynamics and pathways through identifying folding intermediates and misfolded structures. For two specific peptides, we demonstrate that the end-to-end distance is an insufficient reaction coordinate. This problem is alleviated through constructing models with multiple collective variables, for which we employ the time-lagged independent component analysis requiring only minimal prior knowledge. Our results show that combining Markov state models with constant-force simu…

State modelQuantitative Biology::BiomoleculesMathematical optimization010304 chemical physicsMarkov chainProcess Chemistry and TechnologyDynamics (mechanics)Biomedical EngineeringEnergy Engineering and Power TechnologyFolding (DSP implementation)010402 general chemistry01 natural sciencesIndependent component analysisIndustrial and Manufacturing Engineering0104 chemical sciencesReaction coordinateChemistry (miscellaneous)0103 physical sciencesSmall peptideMaterials ChemistryChemical Engineering (miscellaneous)Statistical physicsConstant (mathematics)MathematicsMolecular Systems Design & Engineering
researchProduct

A comparison of simplex and simulated annealing for optimization of a new rear underrun protective device

2012

In this paper, two optimization approaches to improve the product design process have been analysed. Through the analysis of a case study, concerning the designing of a new High Energy Absorption Rear Underrun Protective Device (HEARUPD), two different optimization approaches (simplex and simulated annealing) have been compared. In the implemented optimization processes, the crash between an economy car and the rear part of a truck has been simulated by dynamic numerical (FEM) analyses. Moreover, authors have proposed the use of a suitable linear function of four variables with the purpose of reducing the multi-objective optimization processes to mono-objective ones. That has been made to s…

State variableEngineeringMathematical optimizationSimplexOptimization problembusiness.industryGeneral EngineeringOptimization Simulated annealing Simplex Numerical crash analysisAdaptive simulated annealingLinear functionFinite element methodComputer Science ApplicationsSimplex algorithmModeling and SimulationSimulated annealingSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialebusinessSoftwareEngineering with Computers
researchProduct

Analysis of multi degree of freedom systems with fractional derivative elements of rational order

2014

In this paper a novel method based on complex eigenanalysis in the state variables domain is proposed to uncouple the set of rational order fractional differential equations governing the dynamics of multi-degree-of-freedom system. The traditional complex eigenanalysis is appropriately modified to be applicable to the coupled fractional differential equations. This is done by expanding the dimension of the problem and solving the system in the state variable domain. Examples of applications are given pertaining to multi-degree-of-freedom systems under both deterministic and stochastic loads.

State variableMathematical optimizationDifferential equationcomplex eigenvalue analysiRational functionfrequency domain analysisDomain (mathematical analysis)Fractional calculusfractional state variablesymbols.namesakeFourier transformDimension (vector space)Multi-degree-of-freedom systems; complex eigenvalue analysis; fractional state variables; frequency domain analysisFrequency domainsymbolsMulti-degree-of-freedom systemSettore ICAR/08 - Scienza Delle CostruzioniMathematics
researchProduct

Solving some optimal control problems using the barrier penalty function method

2005

In this paper we present a new approach to solve the two-level optimization problem arising from an approximation by means of the finite element method of optimal control problems governed by unilateral boundary value problems. The minimized functional depends on control variables and state variables x. The latter are the optimal solution of an auxiliary quadratic programming problem, whose parameters depend on u.

State variableMathematical optimizationOptimization problemControl variablePenalty methodBoundary value problemQuadratic programmingOptimal controlFinite element methodMathematics
researchProduct

Separatrix reconstruction to identify tipping points in an eco-epidemiological model

2018

Many ecological systems exhibit tipping points such that they suddenly shift from one state to another. These shifts can be devastating from an ecological point of view, and additionally have severe implications for the socio-economic system. They can be caused by overcritical perturbations of the state variables such as external shocks, disease emergence, or species removal. It is therefore important to be able to quantify the tipping points. Here we present a study of the tipping points by considering the basins of attraction of the stable equilibrium points. We address the question of finding the tipping points that lie on the separatrix surface, which partitions the space of system traj…

State variableMathematical optimizationRadial basis functionComputer scienceSeparatrixApplied MathematicsStable equilibriumComputational mathematics010103 numerical & computational mathematicsDynamical systemDynamical system01 natural sciences010101 applied mathematicsRegime shiftComputational MathematicsGroup huntingSettore MAT/08 - Analisi NumericaMoving Least Squares approximationAllee threshold; Dynamical system; Group hunting; Moving Least Squares approximation; Radial basis function; Regime shift; Computational Mathematics; Applied MathematicsRegime shiftPoint (geometry)Statistical physics0101 mathematicsMoving least squaresAllee threshold
researchProduct

Observer-based control design for a class of nonlinear systems subject to unknown inputs: LMI approach

2015

This paper deals with the problem of observer-based controller design for a class of nonlinear systems subject to unknown inputs. A novel method is presented to design a controller using estimated state variables which guarantees all the state variables of the closed-loop system converge to the vicinity of the origin and stay there forever. This is done via satisfying several sufficient conditions in terms of nonlinear matrix inequalities. In light of linear algebra, particularly matrix decompositions, the achieved conditions will be converted to a Linear Matrix Inequality (LMI) problem to facilitate the procedure of computing the observer and controller gains. Finally, the effectiveness of…

State-transition matrixMathematical optimizationState variableObserver (quantum physics)ChaoticLinear matrix inequalityNonlinear systemControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control EngineeringLinear algebraObserver based[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringComputingMilieux_MISCELLANEOUSMathematics
researchProduct

Voltage Profile Improvement for Soc Son's Low-Voltage Grid with High Penetration of PV Systems by Optimizing the Location of SVC Devices

2018

This paper presents a method that is applied to optimize the placement of Static VAR compensators in a real low-voltage grid in the Vietnamese territory. In this way, the voltage profile of the distribution grid turns to be improved. A heuristic method, the Binary Particle Swarm Optimization, is used to find a solution to this problem within the Matlab environment. A case study that considers a high penetration of rooftop PV systems in a branch of Soc Son distribution grid is implemented to show the efficiency of the optimization method for this specific application.

Static VAr compensators Reactive power Voltage control Renewable energy sources Particle swarm optimization OptimizationComputer sciencebusiness.industry020209 energyPhotovoltaic systemParticle swarm optimization02 engineering and technologyPenetration (firestop)AC powerGridRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'Energia0202 electrical engineering electronic engineering information engineeringElectronic engineeringbusinessMATLABcomputercomputer.programming_languageVoltage2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
researchProduct

Transitions between imperfectly ordered crystalline structures: A phase switch Monte Carlo study

2012

A model for two-dimensional colloids confined laterally by ``structured boundaries'' (i.e., ones that impose a periodicity along the slit) is studied by Monte Carlo simulations. When the distance $D$ between the confining walls is reduced at constant particle number from an initial value ${D}_{0}$, for which a crystalline structure commensurate with the imposed periodicity fits, to smaller values, a succession of phase transitions to imperfectly ordered structures occur. These structures have a reduced number of rows parallel to the boundaries (from $n$ to $n\ensuremath{-}1$ to $n\ensuremath{-}2$, etc.) and are accompanied by an almost periodic strain pattern, due to ``soliton staircases'' …

Statistical ensemblePhase transitionMathematical optimizationStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodPhase (waves)Thermodynamic integrationFOS: Physical sciencesStatistical mechanicsOrders of magnitude (time)Statistical physicsEnergy (signal processing)Condensed Matter - Statistical MechanicsMathematics
researchProduct

A Comparison of Formulae for Calculating Cost-Efficient Sample Sizes of Case-Control Studies with an Internal Validation Scheme

2000

When a case-control study is planned to include an internal validation study, the sample size of the study and the proportion of validated observations has to be calculated. There are a variety of alternative methods to accomplish this. In this article some possible procedures will be compared in order to clarify whether considerable differences in the suggested optimal designs occur, dependent on the used method.

Statistics and ProbabilityAlternative methodsScheme (programming language)Optimal designMathematical optimizationCost efficiencyEstimation theoryComputer scienceSmall sampleGeneral MedicineSample size determinationStatisticsStatistics Probability and UncertaintyInternal validationcomputercomputer.programming_languageBiometrical Journal
researchProduct