Results 41 to 50 of about 222,626 (184)
Jaynes' MaxEnt, Steady State Flow Systems and the Maximum Entropy Production Principle
, 2009 Jaynes' maximum entropy (MaxEnt) principle was recently used to give a conditional, local derivation of the ``maximum entropy production'' (MEP) principle, which states that a flow system with fixed flow(s) or gradient(s) will converge to a steady state ...
Chun-Yong Chan +2 more
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How multiplicity determines entropy and the derivation of the maximum entropy principle for complex systems [PDF]
, 2014 The maximum entropy principle (MEP) is a method for obtaining the most likely distribution functions of observables from statistical systems, by maximizing entropy under constraints.
Beck, M. Gell-Mann, R. Hanel, S. Thurner
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A critique of Jaynes' maximum entropy principle
Advances in Applied Mathematics, 1981 AbstractFriedman and Shimony exhibited an anomaly in Jaynes' maximum entropy prescription: that if a certain unknown parameter is assumed to be characterized a priori by a normalizable probability measure, then the prior and posterior probabilities computed by means of the prescription are consistent with probability theory only if this measure assigns
Cardoso Dias, Penha Maria +1 more
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Transport of charged particles: Entropy production and Maximum Dissipation Principle [PDF]
Journal of Mathematical Analysis and Applications, 2015 In order to describe the dynamics of crowded ions (charged particles), we use an energetic variation approach to derive a modified Poisson-Nernst-Planck (PNP) system which includes an extra dissipation due to the effective velocity differences between ion species.
Hsieh, Chia-Yu +4 more
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Is Turbulence a State of Maximum Energy Dissipation?
Entropy, 2017 Turbulent flows are known to enhance turbulent transport. It has then even been suggested that turbulence is a state of maximum energy dissipation.
Martin Mihelich +3 more
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Principle of maximum entropy in the estimation of suspended sediment concentration
RBRHThe concern with water quality has been promoting development of better monitoring and control techniques every day. As sediments transport most of water contaminants, their study is fundamental.
Patrícia Diniz Martins +1 more
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Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy [PDF]
IEEE Transactions on Information Theory, 1980 Jaynes's principle of maximum entropy and Kullbacks principle of minimum cross-entropy (minimum directed divergence) are shown to be uniquely correct methods for inductive inference when new information is given in the form of expected values. Previous justifications use intuitive arguments and rely on the properties of entropy and cross-entropy as ...
Shore, John E., Johnson, Rodney W.
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, 2010 We give a new proof of the theorems on the maximum entropy principle in Tsallis statistics. That is, we show that the $q$-canonical distribution attains the maximum value of the Tsallis entropy, subject to the constraint on the $q$-expectation value and ...
Johnson O., Shigeru Furuichi, Tsallis C.
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Maximum Entropy Principle and the Higgs Boson Mass
, 2014 A successful connection between Higgs boson decays and the Maximum Entropy Principle is presented. Based on the information theory inference approach we determine the Higgs boson mass as $M_H= 125.04\pm 0.25$ GeV, a value fully compatible to the LHC ...
Alves, Alexandre +2 more
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Non-Life Insurance Pricing: Multi Agents Model
, 2004 We use the maximum entropy principle for pricing the non-life insurance and recover the B\"{u}hlmann results for the economic premium principle.
A. H. Darooneh +21 more
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