Search results for "Linear"

showing 10 items of 7165 documents

Adaptive mesh refinement techniques for high-order shock capturing schemes for multi-dimensional hydrodynamic simulations

2006

The numerical simulation of physical phenomena represented by non-linear hyperbolic systems of conservation laws presents specific difficulties mainly due to the presence of discontinuities in the solution. State of the art methods for the solution of such equations involve high resolution shock capturing schemes, which are able to produce sharp profiles at the discontinuities and high accuracy in smooth regions, together with some kind of grid adaption, which reduces the computational cost by using finer grids near the discontinuities and coarser grids in smooth regions. The combination of both techniques presents intrinsic numerical and programming difficulties. In this work we present a …

Conservation lawPartial differential equationComputer simulationbusiness.industryAdaptive mesh refinementApplied MathematicsMechanical EngineeringComputational MechanicsComputational fluid dynamicsGridComputer Science ApplicationsNonlinear systemMechanics of MaterialsMesh generationbusinessAlgorithmMathematicsInternational Journal for Numerical Methods in Fluids
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Flotation with sedimentation: Steady states and numerical simulation of transient operation

2020

Abstract A spatially one-dimensional model of the hydrodynamics of a flotation column is based on one continuous phase, the fluid, and two disperse phases: the aggregates, that is, bubbles with attached hydrophobic valuable particles, and the solid particles that form the gangue. A common feed inlet for slurry mixture and gas is considered and the bubbles are assumed to be fully aggregated with hydrophobic particles as they enter the column. The conservation law of the three phases yields a model expressed as a system of partial differential equations where the nonlinear constitutive flux functions come from the drift-flux and solids-flux theories. In addition, the total flux functions are …

Conservation lawPartial differential equationMaterials scienceComputer simulationSedimentation (water treatment)Mechanical EngineeringNumerical analysis02 engineering and technologyGeneral ChemistryMechanics010501 environmental sciencesGeotechnical Engineering and Engineering Geology01 natural sciences020501 mining & metallurgyPhysics::Fluid DynamicsNonlinear system0205 materials engineeringControl and Systems EngineeringSlurryFroth flotation0105 earth and related environmental sciencesMinerals Engineering
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Exact Mechanical Hierarchy of Non-Linear Fractional-Order Hereditariness

2020

Non-local time evolution of material stress/strain is often referred to as material hereditariness. In this paper, the widely used non-linear approach to single integral time non-local mechanics named quasi-linear approach is proposed in the context of fractional differential calculus. The non-linear model of the springpot is defined in terms of a single integral with separable kernel endowed with a non-linear transform of the state variable that allows for the use of Boltzmann superposition. The model represents a self-similar hierarchy that allows for a time-invariance as the result of the application of the conservation laws at any resolution scale. It is shown that the non-linear spring…

Conservation lawState variablePhysics and Astronomy (miscellaneous)Hierarchy (mathematics)Scale (ratio)General Mathematicslcsh:MathematicsTime evolutionmechanical hierarchy02 engineering and technologyfractional calculus021001 nanoscience & nanotechnologylcsh:QA1-939Fractional calculusNonlinear systemSuperposition principle020303 mechanical engineering & transports0203 mechanical engineeringChemistry (miscellaneous)non-linear springpotComputer Science (miscellaneous)Applied mathematics0210 nano-technologyfractional calculus; non-linear springpot; mechanical hierarchyMathematicsSymmetry
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The effect of peatland drainage and restoration on Odonata species richness and abundance

2015

Background Restoration aims at reversing the trend of habitat degradation, the major threat to biodiversity. In Finland, more than half of the original peatland area has been drained, and during recent years, restoration of some of the drained peatlands has been accomplished. Short-term effects of the restoration on peatland hydrology, chemistry and vegetation are promising but little is known about how other species groups apart from vascular plants and bryophytes respond to restoration efforts. Results Here, we studied how abundance and species richness of Odonata (dragonflies and damselflies) respond to restoration. We sampled larvae in three sites (restored, drained, pristine) on each o…

Conservation of Natural ResourcesDragonflyPeatOdonataBiodiversityOdonataMireEnvironmental Science(all)Abundance (ecology)MireAnimalsEcological restorationRestoration ecologyEnvironmental Restoration and RemediationFinlandEcology Evolution Behavior and SystematicsGeneral Environmental SciencebiologyEcologyBiodiversityDisturbancebiology.organism_classificationbiodiversiteettiHabitat destructionLarvaWetlandsLinear ModelsSpecies richnessResearch ArticleBMC Ecology
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Spike train statistics for consonant and dissonant musical accords in a simple auditory sensory model

2010

The phenomena of dissonance and consonance in a simple auditory sensory model composed of three neurons are considered. Two of them, here so-called sensory neurons, are driven by noise and subthreshold periodic signals with different ratio of frequencies, and its outputs plus noise are applied synaptically to a third neuron, so-called interneuron. We present a theoretical analysis with a probabilistic approach to investigate the interspike intervals statistics of the spike train generated by the interneuron. We find that tones with frequency ratios that are considered consonant by musicians produce at the third neuron inter-firing intervals statistics densities that are very distinctive fro…

ConsonantNoise in the nervous system; Analytical theories; Sensor auditory systemStochastic ProcessesQuantitative Biology::Neurons and CognitionInterneuronSensory Receptor CellsSpike trainProbabilistic logicSensor auditory systemSensory systemNoise in the nervous systemConsonance and dissonanceModels BiologicalSettore FIS/03 - Fisica Della MateriaNoiseAnalytical theoriemedicine.anatomical_structureNonlinear DynamicsComputer Science::SoundStatisticsmedicineAuditory PerceptionSpike (software development)MathematicsProbability
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Correction of the deviations in the retention times with Chromolith columns associated to the flow rate: Implications in the modelling of the retenti…

2011

In a previous work (J. Sep. Sci. 2009, 32, 2793-2803), we reported an interpretive optimisation approach to achieve maximal resolution in minimal analysis time, based on models describing the retention and peak shape as a function of mobile phase composition and flow rate. The method was applied to the separation of a group of basic drugs in a Chromolith column. In that work, we found that the retention factors were sensitive to the flow rate. The reason of the observed deviations in retention times is the increase in the column volume at the applied pressure, which decreases the linear velocity inside the column. This behaviour forced to include a correction term in the model that describe…

Constant linear velocityWork (thermodynamics)ChromatographyVolume (thermodynamics)LogarithmChemistryPhase compositionFiltration and SeparationMechanicsAnalytical ChemistryVolumetric flow rateJournal of Separation Science
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Flexible Estimation of Heteroskedastic Stochastic Frontier Models via Two-step Iterative Nonlinear Least Squares

2019

Despite its importance, the monotonicity condition is typically overlooked in stochastic frontier analysis. This article illustrates a straightforward and useful method for the estimation of semiparametric stochastic frontier models imposing such constraint and incorporating exogenous inefficiency effects exploiting the scaling property. An iterative estimation algorithm based on nonlinear least squares is developed and the behavior of the proposed procedure is investigated through a set of Monte Carlo experiments comparing its finite sample properties with those of available alternatives. The simulation results highlight very good performance of the new algorithm which outperforms the comp…

Constraint (information theory)HeteroscedasticityStochastic frontier analysisComputer scienceNon-linear least squaresMonte Carlo methodApplied mathematicsFraction (mathematics)Monotonic functionSample (statistics)SSRN Electronic Journal
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An optimality test for semi-infinite linear programming

1992

In this paper we present a test to characterize the optimal solutions for the continuous semi-infinite linear programming problem. This optimality characterization is a condition of Kuhn–Tucker type. The resolution of a linear program permits to check the optimality of a feasible point,to detect the unboundedness of the problem and to find descent directions. We give some illustrative examples. We show that the local Mangasarian–Fromovitz constraint qualification is almost equivalent to Slater qualification for this problem. Furthermore, it follows from our study that this optimality condition is always necessary for a wide class of semi-infinite linear programming problems

Constraint (information theory)Mathematical optimizationControl and OptimizationLinear programmingSemi-infiniteApplied MathematicsPoint (geometry)Management Science and Operations ResearchType (model theory)Semi-infinite programmingLinear-fractional programmingDescent (mathematics)MathematicsOptimization
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Solution isolation strategies for the Bernstein polytopes-based solver

2013

The Bernstein polytopes-based solver is a new method developed to solve systems of nonlinear equations, which often occur in Geometric Constraint Solving Problems. The principle of this solver is to linearize nonlinear monomials and then to solve the resulting linear programming problems, through linear programming. However, without any strategy for the isolation of the many solutions of multiple-solution systems, this solver is slow in practice. To overcome this problem, we propose in this work, a study of several strategies for solution isolation, through the split of solution boxes into several subboxes, according to three main steps answering the questions: when, where, and how to perfo…

Constraint (information theory)Nonlinear systemMonomialMathematical optimizationLinear programmingComputer scienceBenchmark (computing)PolytopeSolverGeometric modeling2013 7th IEEE GCC Conference and Exhibition (GCC)
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An Operator Splitting Method for Pricing American Options

2008

Pricing American options using partial (integro-)differential equation based methods leads to linear complementarity problems (LCPs). The numerical solution of these problems resulting from the Black-Scholes model, Kou’s jump-diffusion model, and Heston’s stochastic volatility model are considered. The finite difference discretization is described. The solutions of the discrete LCPs are approximated using an operator splitting method which separates the linear problem and the early exercise constraint to two fractional steps. The numerical experiments demonstrate that the prices of options can be computed in a few milliseconds on a PC.

Constraint (information theory)Operator splittingPhysicsActuarial scienceStochastic volatilityDifferential equationComplementarity (molecular biology)Linear problemApplied mathematicsStrike priceLinear complementarity problem
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