Search results for " Order"

showing 10 items of 827 documents

Polydisperse hard spheres: crystallization kinetics in small systems and role of local structure

2016

We study numerically the crystallization of a hard-sphere mixture with 8\% polydispersity. Although often used as a model glass former, for small system sizes we observe crystallization in molecular dynamics simulations. This opens the possibility to study the competition between crystallization and structural relaxation of the melt, which typically is out of reach due to the disparate timescales. We quantify the dependence of relaxation and crystallization times on density and system size. For one density and system size we perform a detailed committor analysis to investigate the suitability of local structures as order parameters to describe the crystallization process. We find that local…

Statistics and ProbabilityMaterials scienceDispersityFOS: Physical sciencesStatistical and Nonlinear Physics02 engineering and technologyHard spheresCondensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnology01 natural sciencesBond orderlaw.inventionReaction coordinateCrystallization kineticsMolecular dynamicsChemical physicslaw0103 physical sciencesSoft Condensed Matter (cond-mat.soft)Relaxation (physics)Statistics Probability and UncertaintyCrystallization010306 general physics0210 nano-technologyJournal of Statistical Mechanics: Theory and Experiment
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Regression models for multivariate ordered responses via the Plackett distribution

2008

AbstractWe investigate the properties of a class of discrete multivariate distributions whose univariate marginals have ordered categories, all the bivariate marginals, like in the Plackett distribution, have log-odds ratios which do not depend on cut points and all higher-order interactions are constrained to 0. We show that this class of distributions may be interpreted as a discretized version of a multivariate continuous distribution having univariate logistic marginals. Convenient features of this class relative to the class of ordered probit models (the discretized version of the multivariate normal) are highlighted. Relevant properties of this distribution like quadratic log-linear e…

Statistics and ProbabilityNumerical AnalysisMultivariate statisticsGlobal logitsLogistic distributionUnivariateMultivariate normal distributionmultivariate ordered responseProportional oddsBivariate analysisMarginal modelsPlackett distribution.Plackett distributionUnivariate distribution62H05Statistics62J12Statistics::Methodology60E15Statistics Probability and UncertaintyMarginal distributionMultivariate ordered regressionMathematicsMultivariate stable distributionJournal of Multivariate Analysis
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Topological Minimally Entangled States via Geometric Measure

2014

Here we show how the Minimally Entangled States (MES) of a 2d system with topological order can be identified using the geometric measure of entanglement. We show this by minimizing this measure for the doubled semion, doubled Fibonacci and toric code models on a torus with non-trivial topological partitions. Our calculations are done either quasi-exactly for small system sizes, or using the tensor network approach in [R. Orus, T.-C. Wei, O. Buerschaper, A. Garcia-Saez, arXiv:1406.0585] for large sizes. As a byproduct of our methods, we see that the minimisation of the geometric entanglement can also determine the number of Abelian quasiparticle excitations in a given model. The results in …

Statistics and ProbabilityPhysicsQuantum PhysicsFibonacci numberToric codeStrongly Correlated Electrons (cond-mat.str-el)High Energy Physics - Lattice (hep-lat)FOS: Physical sciencesStatistical and Nonlinear PhysicsTorusQuantum entanglementTopologyMultipartite entanglementCondensed Matter - Strongly Correlated ElectronsHigh Energy Physics - LatticeTopological orderStatistics Probability and UncertaintyAbelian groupQuantum Physics (quant-ph)Quantum
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The adaptive nature of liquidity taking in limit order books

2014

In financial markets, the order flow, defined as the process assuming value one for buy market orders and minus one for sell market orders, displays a very slowly decaying autocorrelation function. Since orders impact prices, reconciling the persistence of the order flow with market efficiency is a subtle issue. A possible solution is provided by asymmetric liquidity, which states that the impact of a buy or sell order is inversely related to the probability of its occurrence. We empirically find that when the order flow predictability increases in one direction, the liquidity in the opposite side decreases, but the probability that a trade moves the price decreases significantly. While the…

Statistics and ProbabilityQuantitative Finance - Trading and Market MicrostructureStatistical Finance (q-fin.ST)Limit order book econophysics market efficiencyfinancial instruments and regulationAutocorrelationFinancial marketQuantitative Finance - Statistical FinanceStatistical and Nonlinear PhysicsProbability and statisticsTrading and Market Microstructure (q-fin.TR)Market liquidityFOS: Economics and businessFlow (mathematics)Order (exchange)risk measure and managementOrder bookEconomicsEconometricsmodels of financial marketStatistics Probability and UncertaintyPredictabilityStatistical and Nonlinear Physic
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Stochastic ordering of classical discrete distributions

2010

For several pairs $(P,Q)$ of classical distributions on $\N_0$, we show that their stochastic ordering $P\leq_{st} Q$ can be characterized by their extreme tail ordering equivalent to $ P(\{k_\ast \})/Q(\{k_\ast\}) \le 1 \le \lim_{k\to k^\ast} P(\{k\})/Q(\{k\})$, with $k_\ast$ and $k^\ast$ denoting the minimum and the supremum of the support of $P+Q$, and with the limit to be read as $P(\{k^\ast\})/Q(\{k^\ast\})$ for $k^\ast$ finite. This includes in particular all pairs where $P$ and $Q$ are both binomial ($b_{n_1,p_1} \leq_{st} b_{n_2,p_2}$ if and only if $n_1\le n_2$ and $(1-p_1)^{n_1}\ge(1-p_2)^{n_2}$, or $p_1=0$), both negative binomial ($b^-_{r_1,p_1}\leq_{st} b^-_{r_2,p_2}$ if and on…

Statistics and ProbabilityWaiting timeApplied MathematicsProbability (math.PR)010102 general mathematicsCoupling (probability)Poisson distribution01 natural sciencesStochastic orderingInfimum and supremumHypergeometric distributionCombinatorics010104 statistics & probabilitysymbols.namesakeFOS: MathematicsMonotone likelihood ratiosymbolsLimit (mathematics)60E150101 mathematicsMathematics - ProbabilityMathematicsAdvances in Applied Probability
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Recent applications of point process methods in forestry statistics

2000

Forestry statistics is an important field of applied statistics with a long tradition. Many forestry problems can be solved by means of point processes or marked point processes. There, the "points" are tree locations and the "marks" are tree characteristics such as diameter at breast height or degree of damage by environmental factors. Point pro- cess characteristics are valuable tools for exploratory data analysis in forestry, for describing the variability of forest stands and for under- standing and quantifying ecological relationships. Models of point pro- cesses are also an important basis of modern single-tree modeling, that gives simulation tools for the investigation of forest stru…

Statistics and Probabilitysingle-tree modelsecond order characteristicThinningComputer scienceGeneral MathematicsDiameter at breast heightForestrymodelingvariability indicesField (geography)Point processTree (data structure)Exploratory data analysisEcological relationshipmarkcorrelationStatisticsPoint (geometry)Statistics Probability and UncertaintyecologyGibbs processintensityCox processPoint process
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Combined dynamic response of primary and multiply connected cascaded secondary subsystems

1991

A method is proposed for the deterministic and stochastic non-stationary analysis of linear composite systems with cascaded secondary subsystems subjected to a seismic input. This method makes it possible to evaluate, by means of a unitary formulation, the deterministic and non-stationary stochastic response of both classically and non-classically damped subsystems and of secondary subsystems multiply supported on the primary one, as well as the ground. The proposed procedure is very efficient from a computational point of view, because of the Kronecker algebra systematically employed. Indeed, by using this algebra, it is possible to obtain in a very compact and elegant form the eigenproper…

Stochastic processFunction (mathematics)Geotechnical Engineering and Engineering GeologyTopologyUnitary stateSecond order momentssymbols.namesakeSimple (abstract algebra)Ordinary differential equationKronecker deltaEarth and Planetary Sciences (miscellaneous)symbolsPoint (geometry)AlgorithmMathematicsEarthquake Engineering & Structural Dynamics
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Stochastic Scheduling of Production Orders Under Uncertainty

2018

This paper attempts to solve the problem of searching minimum production order completion time variants by means of stochastic logical structures with all cost curve descent points and corresponding minimum-cost schedules. The analysis presented in this paper considers scheduling of unique and small batch production, predominantly to order, which accounts for changing requirements of the customer, the complexity and long production process makespan including its technical preparation. Scheduling of production order was performed by means of GAN networks and employed the concept of soft relations. The cost/time relation analysis is based on two-node network models using the cost curve. A new…

Stochastic scheduling · Production orders · Uncertainty · Cost curve
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Hybrid equilibrium element with high-order stress fields for accurate elastic dynamic analysis

2021

In the present article the two-dimensional hybrid equilibrium element formulation is initially developed, with quadratic, cubic, and quartic stress fields, for static analysis of compressible and quasi-incompressible elastic solids in the variational framework of the minimum complementary energy principle. Thereafter, the high-order hybrid equilibrium formulation is developed for dynamic analysis of elastic solids in the variational framework of the Toupin principle, which is the complementary form of the Hamilton principle. The Newmark time integration scheme is introduced for discretization of the stress fields in the time domain and dynamic analysis of both the compressible solid and qua…

Stress (mechanics)PhysicsNumerical Analysisequilibrium basedApplied Mathematicsquasi-incompressibleGeneral Engineeringhigh-order stressMechanicsComplementary formHigh orderElement (category theory)dynamic analysis
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Subharmonic phase-lock criteria for a class of weakly non-linear high-order oscillators

1985

Subharmonic frequency entrainment of high-order weakly non-linear oscillators is investigated. For the class of circuits considered, equations are first derived which provide the first approximation values for the amplitudes and phases of the two main spectral components of the steady-state waveform. Necessary and sufficient stability criteria are then derived in explicit from. The example worked out (a negative conductance double-tuned oscillator) shows the efficiency and ease of use of the proposed method.

SubharmonicNegative conductanceApplied MathematicsMathematical analysisComputer Science ApplicationsElectronic Optical and Magnetic MaterialsNonlinear systemAmplitudeControl theoryWaveformElectrical and Electronic EngineeringHigh orderEntrainment (chronobiology)Electronic circuitMathematics
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