Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"cluster algorithm"”.
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A cluster algorithm for Gross-Neveu fermions at nonzero temperature
… lattice from [1]. We re implement the cluster algorithm of [1] for N flavors of free fermions and verify it against exact monomer densities in the free theory. In addition, we extend this algorithm to the interacting case using the prescription outlined in [1] and produce results for …
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Waste collection & street-sweeping route optimization using a 2-stage cluster algorithm & heuristic approaches
… The following thesis proposes a novel 2-stage clustering approach, namely the Static and Dynamic Clustering, to divide a municipalities road network into several operational areas in which the routes can be assigned. A method of generating optimal routes within the respective operational areas …
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Computational Study of Colloids in Suspension: Effective Interactions and Phase Transitions
… that further progress will critically depend on algorithmic advances. One of the main results in my Ph.D study is the development of a novel Monte Carlo method that alleviates this slow-down problem. The so-called generalized geometric cluster algorithm applies geometric transformations to …
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Two topics in non-perturbative lattice field theories : the U(1) quantum link model and perfect actions for scalar theories
… to the 0(3) model on a square lattice. The Wolff cluster algorithm is used to simulate numerically the system. We perform scaling tests and discuss the scaling properties of the large-N inspired perfect action as opposed to the standard and the classically perfect action. In the second part we …
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Indoor Radio Dot Placement Optimization using UE Positioning and K-Means Clustering
… to quantitatively evaluate radio dot adjustment algorithms that can better accommodate for cost-effective performance solutions. The number of UEs and their distribution are simulated, with the Machine Learning (ML) cluster algorithm of K-means being used to evaluate the ideal scenario where all …
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Measurements of Dijet Cross Sections in Diffractive Photoproduction and Deep-Inelastic Scattering at HERA
… events are identified using the inclusive kt cluster algorithm. The cross sections are corrected to the level of stable hadrons and are measured in the kinematic region Q^2<0.01 GeV^2 (photoproduction) or 4<Q^2<80 GeV^2 (deep-inelastic ep scattering, DIS) and 165<W<242 GeV, x_pom<0.03, …
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Solution of sign and complex action problems with cluster algorithms
… action problems are solved with the help of cluster algorithms. In each case improved estimators for the Boltzmann weight are constructed which are real and positive. The models considered belong to two classes: fermionic and non-fermionic models. An example for a non-fermionic model is the …
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Structural properties and phase behavior in colloidal suspensions
… to study this system, I extended the geometric cluster algorithm to efficiently simulate systems interacting through the Coulomb potential. In Chapter 5 computer simulations are employed to elucidate the experimentally observed crystal phases of the Q and MS-2 virus particles in solution with …
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Strongly coupled systems : from quantum antiferromagnets to unified models for superconductors
… physics, and proceed to describe an efficient cluster algorithm used to simulate the AFHM. This is one of two algorithms with which my collaborators and I were able to obtain numerical results that definitively confirm that chiral perturbation theory, corrected for cutoff effects in the AFHM, …
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Modellierung von Flächendatensätzen der Oberflächentemperatur, Strahlungsbilanz und Kaltluftproduktion in windschwachen Strahlungsnächten
… were likewise considered. Based on a fuzzy -cluster algorithm approach, the correlation between the synthetic pattern derived from a DTM in combination with the landuse and the surface temperature of the satellite image is r = 0.74. <br>The synthetic pattern of the radiation temperature is …
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Exploration and Comparison of Image-Based Techniques for Strawberry Detection
… background pixels. Thus, the color-based K-mean cluster algorithm to detect red strawberries will be exploited. Finally, it achieves a 90.5% truth-positive rate for detecting red strawberries. For detecting the unripe strawberry, this thesis first trained the Support Vector Machine classifier …
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To Shift or Not To Shift: Maximizing the Efficiency of a Wireless Sensor Network Using Multiple Sinks
… a technique in which we have created called the Cluster Algorithm for Sink Selection (CASS). With these techniques we intend to extend the life of the network and also keep the cost of the network down.</p>
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Electrostatically-driven self-assembly of polyelectrolytes and colloidal tetrapods
… Chapter 5 presents a new Monte Carlo simulation algorithm that was used to perform the work in Chapter 4. It is an extension of the geometric cluster algorithm that allows the simulation of anisotropic particles. I provide a detailed derivation of the algorithm, and I also include benchmark …
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Sampling in computer vision and Bayesian nonparametric mixtures
… Metropolis-Hasting (PGIMH) sampling algorithm and show its applicability to a variety of formulations (including curve-length penalties and topology priors). In particle filtering, PGIMH precludes the need to update particle weights or use of sequential importance resampling. …
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Data Reduction in Smart Grid
… Some of the state of the art compression algorithms exploit the characteristics of load pro le data, where consecutive data samples have very small di erences. However, performance of these algorithms deteriorate with large value di erences. In this thesis, we propose a modi cation that …
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Modeling And Detection Of Uterine Contractions Using Magnetomyography
… restriction of previous techniques is that algorithm parameters, such as the detection threshold and the window length of analysis need to be calibrated experimentally, based on a particular data set. Therefore, the detection performance might change from patient to patient, for example, …
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Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data
… easy to (1) employ the single-site updating and cluster updating algorithm, both of which are suitable for problems with small sample sizes and a larger number of variables, (2) extend this approach to nonparametric regression models, and (3) incorporate graphical prior information. In the second …