Search results for "Optimization"

showing 10 items of 2824 documents

ChPT parameters from tau-decay data

2015

Using the updated ALEPH V-A spectral function from tau decays, we determine the lowest spectral moments of the left-right correlator and extract dynamical information on order parameters of the QCD chiral symmetry breaking. Uncertainties associated with violations of quark-hadron duality are estimated from the data, imposing all known short-distance constraints on a resonance-based parametrization. Employing proper pinched weight functions, we obtain an accurate determination of the effective chiral couplings L10 and C87 and the dimension-six and -eight contributions in the Operator Product Expansion.

Chiral anomalyPhysicsQuantum chromodynamicsNuclear and High Energy PhysicsParticle physicsChiral perturbation theory010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyFOS: Physical sciencesDuality (optimization)01 natural sciencesHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]Nambu–Jona-Lasinio model0103 physical sciencesHigh Energy Physics::ExperimentOperator product expansion010306 general physicsChiral symmetry breakingParametrization
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Ab initio calculations and vibrational spectroscopy on the phenylenediamine isomers

1998

Molecular orbital calculations at HF and MP2 levels have been performed using the 6-3IG** basis set for full geometry optimization of the phenylenediamine isomers. Our results show that only a transoid conformer is found for o-phenylenediamine, whereas cis and trans conformers exist for m- and p-phenylenediamine. Vibrational normal modes have been also analyzed for the gas phase and in chloroform solution, and compared with experimental data we have obtained using FTIR spectroscopy. © 1998 Elsevier Science B.V.

ChloroformChemistryInfrared spectroscopyCondensed Matter PhysicsBiochemistrychemistry.chemical_compoundAb initio quantum chemistry methodsComputational chemistryPhysical chemistryFTIR spectroscopy Geometry optimization Vibrational mode analysisMolecular orbitalPhysical and Theoretical ChemistryFourier transform infrared spectroscopyConformational isomerismCis–trans isomerismBasis set
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A complementary mobile phase approach based on the peak count concept oriented to the full resolution of complex mixtures

2011

Situations of minimal resolution are often found in liquid chromatography, when samples that contain a large number of compounds, or highly similar in terms of structure and/or polarity, are analysed. This makes full resolution with a single separation condition (e.g., mobile phase, gradient or column) unfeasible. In this work, the optimisation of the resolution of such samples in reversed-phase liquid chromatography is approached using two or more isocratic mobile phases with a complementary resolution behaviour (complementary mobile phases, CMPs). Each mobile phase is dedicated to the separation of a group of compounds. The CMPs are selected in such a way that, when the separation is cons…

Chromatography Reverse-PhaseChromatographyResolution (mass spectrometry)business.industryChemistryComputationSample (material)Organic ChemistryPhase (waves)General MedicineComplex MixturesBiochemistryColumn (database)Analytical ChemistryGenetic algorithmLocal search (optimization)businessLinear searchJournal of Chromatography A
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Peak deconvolution in one-dimensional chromatography using a two-way data approach.

2002

A deconvolution methodology for overlapped chromatographic signals is proposed. Several single-wavelength chromatograms of binary mixtures, obtained in different runs at diverse concentration ratios of the individual components, were simultaneously processed (multi-batch approach), after being arranged as two-way data. The chromatograms were modelled as linear combinations of forced peak profiles according to a polynomially modified Gaussian equation. The fitting was performed with a previously reported hybrid genetic algorithm with local search, leaving all model parameters free. The approach yielded more accurate solutions than those found when each experimental chromatogram was fitted in…

ChromatographyChromatographyResolution (mass spectrometry)Matching (graph theory)Chemistrybusiness.industryOrganic ChemistryBinary numberGeneral MedicineBiochemistryAnalytical Chemistrysymbols.namesakeData Interpretation StatisticalGaussian functionsymbolsFigure of meritLocal search (optimization)DeconvolutionbusinessLinear combinationJournal of chromatography. A
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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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State-feedback sampled-data control design for nonlinear systems via passive theory

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/230413 Open Access This paper investigates the problem of passive controller design for a class of nonlinear systems under variable sampling. The Takagi-Sugeno (T-S) fuzzy modeling method is utilized to represent the nonlinear systems. Attention is focused on the design of passive controller for the T-S fuzzy systems via sampled-data control approach. Under the concept of very-strict passivity, a novel time-dependent Lyapunov functional is constructed to develop passive analysis criteria and passive controller synthesis conditions. A new …

Class (computer programming)EngineeringArticle Subjectbusiness.industrylcsh:MathematicsGeneral MathematicsPassivityGeneral EngineeringControl engineeringFuzzy control systemlcsh:QA1-939Fuzzy logicNonlinear systemlcsh:TA1-2040Control theoryConvex optimizationState (computer science)VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411lcsh:Engineering (General). Civil engineering (General)business
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Combining workload balance and patient priority maximisation in operating room planning through hierarchical multi-objective optimisation

2022

Abstract Previous analysis suggested the opportunity to consider the preferences of different stakeholders (hospital, patients, doctors and nurses) through the adoption of both patient priority maximisation and workload balance as performance criteria. The aim of this paper is to develop an effective and efficient solution approach for the operating room planning and scheduling capable to take into account the patient priority maximisation and workload balance criteria at the same time. This work is inspired by the need of a deeper understanding of the quality of the solutions obtained when a combination of the two criteria leads the OR planning decisions. Starting from a hierarchical multi…

Class (computer programming)Information Systems and ManagementGeneral Computer ScienceOperations researchExploitbusiness.industryComputer sciencemedia_common.quotation_subjectMatheuristics Operating room planning and scheduling OR in health servicesOperating room planning and schedulingOperating room managementWorkloadManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringScheduling (computing)Quantitative analysis (finance)Modeling and SimulationMatheuristicsMatheuristics; Operating room planning and scheduling; OR in health servicesQuality (business)Local search (optimization)OR in health servicesSettore MAT/09 - Ricerca Operativabusinessmedia_common
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Heuristic Solutions for a Class of Stochastic Uncapacitated p-Hub Median Problems

2019

In this work, we propose a heuristic procedure for a stochastic version of the uncapacitated r-allocation p-hub median problem with nonstop services. In particular, we assume that the number of hubs to which a terminal can be allocated is bounded from above by r. Additionally, we consider the possibility of shipping traffic directly between terminals (nonstop services). Uncertainty is associated with the traffic to be shipped between nodes and with the transportation costs. If we assume that such uncertainty can be captured by a finite set of scenarios, each of which with a probability known in advance, it is possible to develop a compact formulation for the deterministic equivalent proble…

Class (computer programming)Mathematical optimizationComputer scienceHeuristicTransportationHeuristicsHeuristic procedureNonStopStochastic programmingCivil and Structural EngineeringTransportation Science
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Duality theory for multi-marginal optimal transport with repulsive costs in metric spaces

2018

In this paper we extend the duality theory of the multi-marginal optimal transport problem for cost functions depending on a decreasing function of the distance (not necessarily bounded). This class of cost functions appears in the context of SCE Density Functional Theory introduced in "Strong-interaction limit of density-functional theory" by M. Seidl.

Class (set theory)Control and OptimizationComputer Science::Information Retrieval010102 general mathematicsFOS: Physical sciencesContext (language use)Function (mathematics)Mathematical Physics (math-ph)01 natural sciences010101 applied mathematicsComputational MathematicsMetric spaceMathematics - Analysis of PDEsControl and Systems EngineeringOptimization and Control (math.OC)Bounded functionFOS: MathematicsApplied mathematicsDensity functional theoryLimit (mathematics)0101 mathematicsMathematics - Optimization and ControlMathematical PhysicsMathematicsAnalysis of PDEs (math.AP)
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Model approximation for two-dimensional Markovian jump systems with state-delays and imperfect mode information

2014

Published version of an article in the journal: Multidimensional Systems and Signal Processing. Also available from the publisher at: http://dx.doi.org/10.1007/s11045-013-0276-x This paper is concerned with the problem of {Mathematical expression} model approximation for a class of two-dimensional (2-D) discrete-time Markovian jump linear systems with state-delays and imperfect mode information. The 2-D system is described by the well-known Fornasini-Marchesini local state-space model, and the imperfect mode information in the Markov chain simultaneously involves the exactly known, partially unknown and uncertain transition probabilities. By using the characteristics of the transition proba…

Class (set theory)Mathematical optimizationMarkov chainmodel approximationApplied Mathematicstwo-dimensional systemsMarkovian jump systemsRegular polygonMode (statistics)imperfect mode informationState (functional analysis)VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Computer Science ApplicationsMarkovian jumpMarkovian jump linear systemsArtificial IntelligenceHardware and ArchitectureSignal ProcessingApplied mathematicsstate-delaysImperfectSoftwareInformation SystemsMathematics
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