Search results for "Logarithm"

showing 10 items of 182 documents

Effects of divergent ghost loops on the Green’s functions of QCD

2013

In the present work we discuss certain characteristic features encoded in some of the fundamental QCD Green's functions, whose origin can be traced back to the nonperturbative masslessness of the ghost field, in the Landau gauge. Specifically, the ghost loops that contribute to these Green's functions display infrared divergences, akin to those encountered in the perturbative treatment, in contradistinction to the gluonic loops, whose perturbative divergences are tamed by the dynamical generation of an effective gluon mass. In d=4, the aforementioned divergences are logarithmic, thus causing a relatively mild impact, whereas in d=3 they are linear, giving rise to enhanced effects. In the ca…

High Energy Physics - TheoryQuantum chromodynamicsPhysicsNuclear and High Energy PhysicsToy modelLogarithmHigh Energy Physics::LatticeHigh Energy Physics - Lattice (hep-lat)High Energy Physics::PhenomenologyFOS: Physical sciencesFísicaPropagatorIntegral equationGluonHigh Energy Physics - PhenomenologyTheoretical physicsHigh Energy Physics - Phenomenology (hep-ph)High Energy Physics - LatticeHigh Energy Physics - Theory (hep-th)Lattice (order)Quantum electrodynamicsPhysical Review D
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Machine learning for energy cost modelling in wastewater treatment plants.

2018

Understanding the energy cost structure of wastewater treatment plants is a relevant topic for plant managers due to the high energy costs and significant saving potentials. Currently, energy cost models are generally generated using logarithmic, exponential or linear functions that could produce not accurate results when the relationship between variables is highly complex and non-linear. In order to overcome this issue, this paper proposes a new methodology based on machine-learning algorithms that perform better with complex datasets. In this paper, machine learning was used to generate high-performing energy cost models for wastewater treatment plants, using a database of 317 wastewater…

High energyEnvironmental EngineeringLogarithmComputer science020209 energy02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawWastewaterMachine learningcomputer.software_genre01 natural sciencesWaste Disposal FluidMachine LearningOrder (exchange)0202 electrical engineering electronic engineering information engineeringWaste Management and Disposal0105 earth and related environmental sciencesStructure (mathematical logic)business.industryGeneral MedicineEuropeModel parameterEnergy costCosts and Cost AnalysisSewage treatmentArtificial intelligencebusinesscomputerEnergy (signal processing)Journal of environmental management
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On some inequalities for the identric, logarithmic and related means

2015

We offer new proofs, refinements as well as new results related to classical means of two variables, including the identric and logarithmic means.

InequalityLogarithmMeans of two argumentsmedia_common.quotation_subjectMathematical proofMathematics Subject ClassificationIdentities for meansMathematics - Classical Analysis and ODEsClassical Analysis and ODEs (math.CA)FOS: MathematicsCalculusTrigonometric and hyperbolic inequalitiesInequalities for means26D05 26D15 26D99Analysismedia_commonMathematics
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The Duality of Entropy/Extropy, and Completion of the Kullback Information Complex

2018

The refinement axiom for entropy has been provocative in providing foundations of information theory, recognised as thoughtworthy in the writings of both Shannon and Jaynes. A resolution to their concerns has been provided recently by the discovery that the entropy measure of a probability distribution has a dual measure, a complementary companion designated as &ldquo

Kullback–Leibler divergenceSettore MAT/06 - Probabilita' E Statistica MatematicaLogarithmGeneral Physics and Astronomylcsh:Astrophysics02 engineering and technologyBregman divergenceMathematical proofInformation theory01 natural sciencesArticle010104 statistics & probabilityFermi–Dirac entropyKullback symmetric divergencelcsh:QB460-4660202 electrical engineering electronic engineering information engineeringEntropy (information theory)0101 mathematicslcsh:Sciencerelative entropy/extropyAxiomMathematics020206 networking & telecommunicationslcsh:QC1-999total logarithmic scoring ruleProbability distributiondualityPareto optimal exchangelcsh:QprevisionextropySettore SECS-S/01 - StatisticaentropyMathematical economicslcsh:PhysicsEntropy
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Radial growth of solutions to the poisson equation

2001

We establish a radial growth estimate of the type of the iterated law of the logarithm for solutions to the Poisson equation in the unit ball.

Laplace's equationUnit spheresymbols.namesakeUniqueness theorem for Poisson's equationLogarithmIterated functionDiscrete Poisson equationMathematical analysissymbolsLaw of the iterated logarithmGeneral MedicinePoisson's equationMathematicsComplex Variables, Theory and Application: An International Journal
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From $1$ to $6$: a finer analysis of perturbed branching Brownian motion

2020

The logarithmic correction for the order of the maximum for two-speed branching Brownian motion changes discontinuously when approaching slopes $\sigma_1^2=\sigma_2^2=1$ which corresponds to standard branching Brownian motion. In this article we study this transition more closely by choosing $\sigma_1^2=1\pm t^{-\alpha}$ and $\sigma_2^2=1\pm t^{-\alpha}$. We show that the logarithmic correction for the order of the maximum now smoothly interpolates between the correction in the iid case $\frac{1}{2\sqrt 2}\ln(t),\;\frac{3}{2\sqrt 2}\ln(t)$ and $\frac{6}{2\sqrt 2}\ln(t)$ when $0<\alpha<\frac{1}{2}$. This is due to the localisation of extremal particles at the time of speed change which depen…

LogarithmApplied MathematicsGeneral MathematicsProbability (math.PR)010102 general mathematicsSigmaOrder (ring theory)Branching (polymer chemistry)01 natural sciences010104 statistics & probability60J80 60G70 82B44FOS: Mathematics0101 mathematicsBrownian motionMathematics - ProbabilityMathematicsMathematical physics
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Simulating Term Structure of Interest Rates with Arbitrary Marginals

2007

Decision models under uncertainty need to be feeded with scenarios of the interest rate curve. Such scenarios have to comply, as close as possible, with the empirical distribution of each rate. Simulation models of the term structure usually assume that the conjugate distribution of the interest rates is lognormal. Dynamic models, like vector auto-regression, implicitly postulate that the logarithm of the interest rates is normally distributed. Statistical analyses have, however, shown that stationary transformations (yield changes) of the interest rates are substantially leptokurtic, thus posing serious doubts on the reliability of the available models. We propose in this paper a vector au…

LogarithmAutoregressive modelShort-rate modelComputer sciencemedia_common.quotation_subjectLog-normal distributionEconometricsYield curveEmpirical distribution functionInterest ratemedia_commonTerm (time)SSRN Electronic Journal
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Description of the retention behaviour of solutes in micellar liquid chromatography with organic modifiers: Comparison of two methods

1995

Two methods for the description of the retention behaviour of solutes in micellar liquid chromatography are compared. One of them divides the parameter space into triangular subspaces, fitting a different equation in each subspace. The second method makes use of a unique equation, valid in the whole parameter space. In both cases, equations of the type log k=f (μ, ϕ), and 1/k=f (μ, ϕ), (μ and ϕ are the concentration of surfactant and alcohol, respectively), were used to describe the retention. The use of the hyperbolic function, 1/k=c0+c1μ+c3μϕ, to describe the whole parameter space yielded the best prediction. When a small portion of the parameter space was modelled, a simpler hyperbolic f…

LogarithmChemistryOrganic ChemistryClinical BiochemistryHyperbolic functionAnalytical chemistryThermodynamicsType (model theory)Parameter spaceBiochemistryLinear subspaceAnalytical ChemistryMicellar liquid chromatographyPhase compositionSubspace topologyChromatographia
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Stationary–mobile phase distribution coefficient for polystyrene standards

2002

The measured shifts of the retention volume V R of polystyrene (PS) towards lower values in benzene–methanol (Bz–MeOH), and towards higher values in butanone–heptane (But–Hep) are in agreement with our theoretical model, in which both MeOH and But are adsorbed on Lichrospher. This paved way for us to model the chromatographic stationary (s)-phase as MeOH and the mobile (m)-phase as Bz–MeOH, and to calculate the distribution coefficients for PS. For But–Hep, the s-phase has been modeled as But, and the m-phase as But–Hep. A linear relation for the experimental equilibrium distribution P sm of PS is shown between the s- and m- phases in Bz–MeOH and But–Hep vs. the logarithm of the molecular m…

LogarithmChemistryProcess Chemistry and TechnologyGeneral Chemical EngineeringAnalytical chemistryFiltration and SeparationGeneral ChemistryPartition coefficientchemistry.chemical_compoundAdsorptionVolume (thermodynamics)Phase (matter)Linear relationPolystyreneSeparation Science and Technology
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The Bruce–Roberts Number of A Function on A Hypersurface with Isolated Singularity

2020

AbstractLet $(X,0)$ be an isolated hypersurface singularity defined by $\phi \colon ({\mathbb{C}}^n,0)\to ({\mathbb{C}},0)$ and $f\colon ({\mathbb{C}}^n,0)\to{\mathbb{C}}$ such that the Bruce–Roberts number $\mu _{BR}(f,X)$ is finite. We first prove that $\mu _{BR}(f,X)=\mu (f)+\mu (\phi ,f)+\mu (X,0)-\tau (X,0)$, where $\mu $ and $\tau $ are the Milnor and Tjurina numbers respectively of a function or an isolated complete intersection singularity. Second, we show that the logarithmic characteristic variety $LC(X,0)$ is Cohen–Macaulay. Both theorems generalize the results of a previous paper by some of the authors, in which the hypersurface $(X,0)$ was assumed to be weighted homogeneous.

LogarithmGeneral Mathematics010102 general mathematicsComplete intersection010103 numerical & computational mathematicsFunction (mathematics)Isolated singularity01 natural sciencesCombinatoricsHypersurfaceSingularityHomogeneous0101 mathematicsCharacteristic varietyMathematicsThe Quarterly Journal of Mathematics
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