Search results for "statistical [methods]"

showing 10 items of 1664 documents

Do the contact angle and line tension of surface-attached droplets depend on the radius of curvature?

2018

Results from Monte Carlo simulations of wall-attached droplets in the three-dimensional Ising lattice gas model and in a symmetric binary Lennard-Jones fluid, confined by antisymmetric walls, are analyzed, with the aim to estimate the dependence of the contact angle $(\Theta)$ on the droplet radius $(R)$ of curvature. Sphere-cap shape of the wall-attached droplets is assumed throughout. An approach, based purely on "thermodynamic" observables, e.g., chemical potential, excess density due to the droplet, etc., is used, to avoid ambiguities in the decision which particles belong (or do not belong, respectively) to the droplet. It is found that the results are compatible with a variation $[\Th…

Materials scienceStatistical Mechanics (cond-mat.stat-mech)Tension (physics)Antisymmetric relationMonte Carlo methodNucleationFOS: Physical sciences02 engineering and technologyMechanicsCondensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesRadius of curvature (optics)Contact anglePhysics::Fluid Dynamics0103 physical sciencesThermodynamic limitSoft Condensed Matter (cond-mat.soft)General Materials Science010306 general physics0210 nano-technologyCondensed Matter - Statistical MechanicsLine (formation)
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Statics and dynamics of colloid-polymer mixtures near their critical point of phase separation: A computer simulation study of a continuous Asakura–O…

2008

We propose a new coarse-grained model for the description of liquid-vapor phase separation of colloid-polymer mixtures. The hard-sphere repulsion between colloids and between colloids and polymers, which is used in the well-known Asakura-Oosawa (AO) model, is replaced by Weeks-Chandler-Anderson potentials. Similarly, a soft potential of height comparable to thermal energy is used for the polymer-polymer interaction, rather than treating polymers as ideal gas particles. It is shown by grand-canonical Monte Carlo simulations that this model leads to a coexistence curve that almost coincides with that of the AO model and the Ising critical behavior of static quantities is reproduced. Then the …

Materials sciencecritical pointsMonte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyThermodynamicsCondensed Matter - Soft Condensed MatterCritical point (mathematics)Molecular dynamicscolloidspolymer solutionsPhysical and Theoretical Chemistryliquid-vapour transformationsBinodalliquid mixturesLennard-Jones potentialMonte Carlo methodsDisordered Systems and Neural Networks (cond-mat.dis-nn)Statistical mechanicsCondensed Matter - Disordered Systems and Neural Networksself-diffusionIdeal gasliquid theoryCondensed Matter::Soft Condensed Mattermolecular dynamics methodLennard-Jones potentialSoft Condensed Matter (cond-mat.soft)Ising modelstatistical mechanicsphase separationThe Journal of Chemical Physics
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Effect of mixing and spatial dimension on the glass transition

2009

We study the influence of composition changes on the glass transition of binary hard disc and hard sphere mixtures in the framework of mode coupling theory. We derive a general expression for the slope of a glass transition line. Applied to the binary mixture in the low concentration limits, this new method allows a fast prediction of some properties of the glass transition lines. The glass transition diagram we find for binary hard discs strongly resembles the random close packing diagram. Compared to 3D from previous studies, the extension of the glass regime due to mixing is much more pronounced in 2D where plasticization only sets in at larger size disparities. For small size disparitie…

Materials sciencepacs:82.70.DdCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)business.industryDiagramRandom close packBinary numberFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter::Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterOpticsPhase (matter)Mode couplingSoft Condensed Matter (cond-mat.soft)ddc:530Glass transitionbusinesspacs:64.70.Q-Mixing (physics)Condensed Matter - Statistical Mechanicspacs:64.70.PLine (formation)
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Mode-coupling theory of the glass transition for confined fluids

2012

We present a detailed derivation of a microscopic theory for the glass transition of a liquid enclosed between two parallel walls relying on a mode-coupling approximation. This geometry lacks translational invariance perpendicular to the walls, which implies that the density profile and the density-density correlation function depends explicitly on the distances to the walls. We discuss the residual symmetry properties in slab geometry and introduce a symmetry adapted complete set of two-point correlation functions. Since the currents naturally split into components parallel and perpendicular to the walls the mathematical structure of the theory differs from the established mode-coupling eq…

Mathematical analysisFOS: Physical sciencesCovarianceCondensed Matter - Soft Condensed MatterResidual01 natural sciencesSymmetry (physics)010305 fluids & plasmasCorrelation function (statistical mechanics)Classical mechanics0103 physical sciencesMode couplingPerpendicularSoft Condensed Matter (cond-mat.soft)Microscopic theory010306 general physicsGlass transition[PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]Mathematics
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GRASP and path relinking for the equitable dispersion problem

2013

The equitable dispersion problem consists in selecting a subset of elements from a given set in such a way that a measure of dispersion is maximized. In particular, we target the Max-Mean dispersion model in which the average distance between the selected elements is maximized. We first review previous methods and mathematical formulations for this and related dispersion problems and then propose a GRASP with a Path Relinking in which the local search is based on the Variable Neighborhood methodology. Our method is specially suited for instances in which the distances represent affinity and are not restricted to take non-negative values. The computational experience with 120 instances shows…

Mathematical optimizationGeneral Computer Sciencebusiness.industryGRASPManagement Science and Operations ResearchSet (abstract data type)Variable (computer science)Modeling and SimulationPath (graph theory)Local search (optimization)Statistical dispersionbusinessMetaheuristicMathematicsComputers & Operations Research
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Optimization of the objective function –surface quality by end-milling dimensional machining of some aluminum alloys

2019

Abstract In the aerospace industry, the milling of aluminum alloy parts is a machining process with the primary purpose of removing high volumes of material. Aluminum alloys are materials that have relatively good machinability, which helps the process because many of the components of the aircraft are of high dimensions. These parts have many pockets more or less deep, and the removal by cutting off about 90% of the initial volume of the workpiece is a matter of consideration. The manufacturing process is protracted and involves long semi-finishing and finishing operations, so it is recommended that any researcher who begins and finishes an experimental study should do it base on a specifi…

Mathematical optimizationVariablesbusiness.industryComputer scienceMachinabilitymedia_common.quotation_subjectMathematical statisticsProcess (computing)MachiningHistogramStatistical dispersionAerospacebusinessmedia_commonIOP Conference Series: Materials Science and Engineering
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Improvement of Statistical Decisions under Parametric Uncertainty

2011

A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncertainty. Decision‐making under uncertainty is a central problem in statistical inference, and has been formally studied in virtually all approaches to inference. The aim of the present paper is to show how the invariant embedding technique, the idea of which belongs to the authors, may be employed in the particular case of finding the improved statistical decisions under parametric uncertainty. This technique represents a simple and computationally attractive statistical method based on the constructive use of the i…

Mathematical optimizationbusiness.industryDecision ruleMachine learningcomputer.software_genreFrequentist inferenceFiducial inferenceStatistical inferenceSensitivity analysisArtificial intelligenceStatistical theorybusinesscomputerUncertainty analysisParametric statisticsMathematicsAIP Conference Proceedings
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Solving dynamic memory allocation problems in embedded systems with parallel variable neighborhood search strategies

2015

International audience; Embedded systems have become an essential part of our lives, thanks to their evolution in the recent years, but the main drawback is their power consumption. This paper is focused on improving the memory allocation of embedded systems to reduce their power consumption. We propose a parallel variable neighborhood search algorithm for the dynamic memory allocation problem, and compare it with the state of the art. Computational results and statistical tests applied show that the proposed algorithm produces significantly better outcomes than the previous algorithm in shorter computing time.

Mathematical optimizationparallelismmetaheuristicsC dynamic memory allocationComputer sciencebusiness.industryApplied Mathematics[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]Static memory allocationPower consumptionEmbedded systemDiscrete Mathematics and Combinatoricsdynamic memory allocation problemembedded systemsState (computer science)businessMetaheuristicvariable neighborhood searchVariable neighborhood searchDrawbackStatistical hypothesis testing
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Introducing migratory flows in life table construction

2012

The purpose of life tables is to describe the mortality behav iour of particular groups. The construction of general life tables is based on death statis tics and census figures of resident populations under the hypothesis of closed demographic sys tem. Among other assumptions, this hypothesis implicitly assumes that entries (immigrants) a nd exits (emigrants) of the population are usually not significant (being almost of the same magnitu de for each age compensating each other). This paper theoretically extends the classical sol ution to open demographic systems and studies the impact of this hypothesis in constructing a life table. In particular, using the data of residential variations m…

Mathematical statisticsSociologia matemàticaOpen demographic system:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]Mathematical sociology:91 Game theory economics social and behavioral sciences::91D Mathematical sociology [Classificació AMS]Lexis diagramGeneral populationEstadística matemàtica -- Aplicacions:62 Statistics::62Q05 Statistical tables [Classificació AMS]
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Fractional Laplacians and Levy flights in bounded domains

2018

We address L\'{e}vy-stable stochastic processes in bounded domains, with a focus on a discrimination between inequivalent proposals for what a boundary data-respecting fractional Laplacian (and thence the induced random process) should actually be. Versions considered are: restricted Dirichlet, spectral Dirichlet and regional (censored) fractional Laplacians. The affiliated random processes comprise: killed, reflected and conditioned L\'{e}vy flights, in particular those with an infinite life-time. The related concept of quasi-stationary distributions is briefly mentioned.

Mathematics - Spectral TheoryMathematics - Analysis of PDEsStatistical Mechanics (cond-mat.stat-mech)FOS: MathematicsFOS: Physical sciencesMathematical Physics (math-ph)Mathematics::Spectral TheorySpectral Theory (math.SP)Condensed Matter - Statistical MechanicsMathematical PhysicsAnalysis of PDEs (math.AP)
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