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Showing 1 to 20 of 21 for “"Maximum Entropy Principle"”.
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Maximum entropy principle approach for water distribution network optimization
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Essays on Maximum Entropy Principle With Applications to Econometrics and Finance
… and portfolio selection problems using the maximum entropy (ME) principle. Since an entropy measure turns out to be a distance measure between two distributions, it can be used to estimate unknown density function. Entropy can be also interpreted as a measure of the degree of diversification …
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Maximum-entropy principle approach to the multiple travelling salesman problem and related problems
… an investigation into the applications of the maximum-entropy principle as a heuristic for the multiple travelling salesman problem. This is a computationally complex problem which requires special treatment by conventional optimization techniques. Specific focus is given to developing a …
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A mean-field method for driven diffusive systems based on maximum entropy principle
… nonequilibrium system. The application of maximum entropy principle to the system, which is in contact with a heat reservoir, leads to a minimization principle for the generalized Helmholtz free energy. At every level of approximation the latter is expressed in terms of the corresponding …
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First steps in development of a translational non equilibrium model using maximum entropy principle
… similar to method of weighted residuals and maximum entropy principle are used for defining the model and developing the underlying governing equations. The underlying modeling goal was to serve as a bridge in terms of computational cost and accuracy, between high fidelity Boltzmann equations …
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A control system viewpoint for manipulating heat equation and maximum entropy principle for design of experiments
… second part of this work, we also explore the maximum entropy-based approach for optimum feature data imputation and selection of experiments. Tactical selection of experiments to estimate an underlying model is an innate task across various fields. Since each experiment has costs associated …
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Maximum entropy quadratic model to characterize chemical non-equilibrium in re-entry flows
… exhibits significant curvature. By invoking the maximum entropy principle subject to a series of constraints, the logarithm of distribution function is reconstructed using quadratic functions in the internal energy space of the molecular species. The results of the numerical simulations for an …
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Introduction to fast Super-Paramagnetic Clustering
… compared to a modified implementation of a maximum likelihood approach to fast-Super-Paramagnetic Clustering (f-SPC). The methods are first applied standard toy test-case problems, and then to a dataset of 447 stocks traded on the New York Stock Exchange (NYSE) over 1249 days. The signal to …
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Probabilistic Modeling of Multi-relational and Multivariate Discrete Data
… relations, and model the discrete data by the maximum entropy principle, such that in a statistically well-founded way we can gauge the surprisingness of a discovered bicluster chain with respect to what we already know. We design an algorithm for approximating the most informative …
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Entropy Based Framework for Static and Dynamic Coverage and Clustering Problems
… optimization problems are solved in a Maximum Entropy Principle (MEP) based framework. The proposed algorithms are computationally efficient and scalable with respect to the size of the underlying data, and are designed to avoid local minima. A characteristic feature of the proposed …
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Modelos microeconométricos de elección en agricultura en condiciones de riesgo climático: aplicaciones al diseño de estrategias de adaptación al cambio climático
… on randomness of rational behaviour and the maximum entropy principle. The maximum entropy principle allows the insertion of random restrictions which make the set of available options more flexible, and self-calibration models are obtained as a result. These models partially solve the …
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ΠΟΛΛΑΠΛΟΤΗΤΕΣ ΚΑΙ ΩΚΥΤΗΤΕΣ ΦΟΡΤΙΣΜΕΝΩΝ ΣΩΜΑΤΩΝ ΠΟΥ ΠΑΡΑΓΟΝΤΑΙ ΣΕ ΑΛΛΗΛΕΠΙΔΡΑΣΕΙΣ ΠΡΩΤΟΝΙΩΝ-ΑΝΤΙΠΡΩΤΟΝΙΩΝ ΕΝΕΡΓΕΙΑΣ 200, 546 ΚΑΙ 900 GEV ΣΤΟ ΚΕΝΤΡΟ ΜΑΖΑΣ
… THE OPTIMIZATION METHOD USING THE MAXIMUM ENTROPY PRINCIPLE IS APPLIED IN ORDER TO CORRECT THE OBSERVED MULTIPLICITY DISTRIBUTIONS. THE RESULTSOF THREE THEORETICAL MODELS FOR PARTICLE PRODUCTION IN HADRON-HADRON COLLISIONS (PYTHIA, FRITIOF AND ABR) ARE COMPARED WITH THE EXPERIMENTAL …
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The effect of the study region on GIS models of species geographic distributions and estimates of niche evolution; preliminary tests with montane rodents (genus Nephelomys) in Venezuela
… (a computer modeling program that utilizes the maximum-entropy principle), occurrence records from the literature, and 19 bioclimatic variables. First, I modeled each species in a large study region that included the ranges of both species (Method 1; typically employed in most studies to date). …
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Physics-Informed, Data-Driven Framework for Model-Form Uncertainty Estimation and Reduction in RANS Simulations
… model-form uncertainties in RANS simulations. Maximum entropy principle is employed to identify the probability distribution that satisfies given constraints but without introducing artificial information. Objective prior perturbations of RANS-predicted Reynolds stresses in physical projections …
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Modelling the dynamics of genetic algorithms using statistical mechanics
… non-trivial terms are determined by assuming maximum entropy with constraints on known macroscopics. Problems of realistic size are described in compact form and finite population effects are included, often proving to be of fundamental importance. The macroscopics used here are cumulants of …
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Clustering, coverage and aggregation methods for large networks
… in every iteration. Further, we introduce a maximum entropy based soft aggregation approach for node clustering, and propose a multi-scaled aggregation method whose central part incorporates the Deterministic Annealing algorithm. Specifically, we solve a sequence of relaxed minimization …
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Reduced-order model framework for thermochemical non-equilibrium hypersonic flows
… non-equilibrium based on fundamental physics principles; and second, to use this framework to study thermochemical non-equilibrium in a variety of conditions for a gas composed of nitrogen atoms and molecules. In order to construct the reduced order model directly from ab initio quantum …
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Parameterized sequential decision making problems
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01
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Monte Carlo study of charge and phonon transport in graphene
L argomento principale di questa tesi è lo studio dei fenomeni di trasporto nel grafene. Il graphene è uno dei nuovi materiali più importanti e gode di un ampio spettro di ottime proprietà, che sono raramente presenti assieme in uno stesso materiale, ed è considerato il candidato ideale per lo …
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Reduced-order modeling of non-Boltzmann thermochemistry and radiation for hypersonic flows
… state-to-state (StS) approach. Similarly, first-principles based databases for different chemical species are now available that can characterize radiative behavior by accounting for millions of individual radiative transitions, referred to as line-by-line (LBL) modeling. Although exceedingly …
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