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 20 of 66 for “"Deterministic Models"”.
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Stochastic and deterministic models for dense granular flow
… remain poorly understood. In this thesis, two models are developed for dense granular flow, each capable of predicting flows with accuracy in multiple environments. The models are based on differing perspectives of grain-level dynamics, with one deriving flow from a stochastic mechanism and the …
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Structured deterministic models applied to malaria and other endemic diseases
… includes modeling studies on three structured deterministic models. These models are used to study the disease dynamics of malaria or the joint disease dynamics of HIV and HSV-2. Each of the models includes multiple components containing individuals in various epidemiological classes for the …
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A Critical Examination of the Use of Deterministic Models in Budgeting Problems: A Stochastic Programming Approach
Made available in DSpace on 2014-12-11T21:53:30Z (GMT). No. of bitstreams: 1 7511523.pdf: 7754106 bytes, checksum: c72b0e243c2b9d498edc4daa699c8e26 (MD5) Previous issue date: 1974
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A study of statistical and deterministic models for the prediction of the composition of a mixture
… is a study of various physical and statistical models which may be useful for the prediction of the composition of a ternary liquid mixture. The particular mixture considered in this study was the solvent system consisting of nitroglycerine (NG), 2-nitrodiphenylamine (2NDPA), and triacetin (TA). …
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Comparison of models to mitigate flood hazard to transportation alignments on alluvial fans
… that available one- and two-dimensional, deterministic models may provide better discharge estimates for alluvial fan flood mitigation studies than the one-dimensional, stochastic Federal Emergency Management Agency (FEMA) model; A modified version of the one-dimensional, stochastic FEMA …
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The investigation of fire hazards in buildings using stochastic modelling
… as well as occupant egress. There are existing deterministic models for these. While deterministic models provide averages of a process, stochastic models give the broad spectrum of all possible scenarios of the process giving the distribution function. The spread of smoke was first modelled by …
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Bridging the Gap between Deterministic and Stochastic Modeling with Automatic Scaling and Conversion
During the past decade, many successful deterministic models of macromolecular regulatory networks have been built. Deterministic simulations of these models can show only average dynamics of the systems. However, stochastic simulations of macromolecular regulatory models can account for behaviors …
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A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii
… well understood, although a lot of mathematical models have been built. In this thesis, we adopt a complex life cycle model developed by Turner et al. and extend their work to include diffusion of hosts. Most of researches focus on the deterministic models. However, some scientists have reported …
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Uma aplicação de programação inteira: ocupação ótima de uma instalação
… the physical facilities existing in a building. Deterministic models for “Quadratic Programming” and “Mixed Programming”, as well as especific algorithm for solving the problem through the “Implicit Enumeration” method were developed. Computer programs for the stablishment of these models, as …
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Differential and numerical models of hysteretic systems with stochastic and deterministic inputs
Many deterministic models with hysteresis have been developed in the areas of economics, finance, terrestrial hydrology and biology. These models lack any stochastic element which can often have a strong effect in these areas. In this work stochastically driven closed loop systems with hysteresis …
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Tools to analyse cell signaling models
… of computational biology is to use quantitative models to test complex scientific hypotheses or predict desirable interventions. Consequently, it is important that the model is built to the minimum fidelity required to meet a specific goal, otherwise valuable effort is wasted. Unlike traditional …
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QUALITATIVE AND QUANTITATIVE ANALYSIS OF STOCHASTIC MODELS IN MATHEMATICAL EPIDEMIOLOGY
… on contact and recovery rates in three basic deterministic models in mathematical epidemiology and obtain stochastic counterparts. This paper addresses qualitative and quantitative analysis of stochastic SIS model with disease deaths and demographic effects, and stochastic SIR models …
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Luce's Challenge: Quantitative Models and Statistical Methodology
… terms of logical, algebraic statements that are deterministic, in the sense that they do not model a decision process via random variables. Empirical data, on the other hand, are intrinsically outcomes of random variables. Thus, there exists a conceptual and mathematical gap between deterministic …
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Multi-Failure Mode Risk Assessment of the Houston/Galveston Bridge System to Hurricane Threats
… for vulnerability modeling, adapts current deterministic models of bridge deck uplift and scour for a probabilistic framework and expands the scour models to include a qualitative estimate for embankment scour. The study area bridges are tested under various hurricane scenario events to …
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The Fokker-Planck and Related Equations in Theoretical Population Dynamics
… i.e. a growth rate function. However, such deterministic models are often highly unrealistic in population dynamics because population growth is basically a random event. There are a large number of chance factors influencing growth that might not be taken into account by deterministic …
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Improved understanding and prediction of the hydrologic response of highly urbanized catchments through development of the Illinois urban hydrologic model (IUHM)
… is a marked departure from the traditional deterministic models used to design and simulate urban sewer systems, and does not have the burdensome input data requirements that detailed deterministic models possess. Application of IUHM to the CDS-51 catchment located in the Village of Dolton, …
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Learning two-dimensional spatial dynamics from experimental data
… algorithm to search through a space of possible models in order to find an optimal description of the data. The space of possible models is a class of probabilistic cellular automaton rules, a rule which is inherently local. The traditional definition of a cellular automaton has been enhanced …
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Learning two-dimensional spatial dynamics from experimental data
… algorithm to search through a space of possible models in order to find an optimal description of the data. The space of possible models is a class of probabilistic cellular automaton rules, a rule which is inherently local. The traditional definition of a cellular automaton has been enhanced …
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Optimizing the planning of IBC usage in pharmaceutical industry
… the number of IBCs required were identified. Deterministic models were established to determine the minimum number of IBCs needed for each product given the production plan in 2009. The cleaning schedule for IBCs was modified to reuse IBCs as much as possible. In this paper, we analyze the …
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Macroscopic convection in the thin-film processor
… may be adequately represented by simple linear deterministic models. In addition, it examines the suggestion that the models themselves provide a useful tool in the search for a generalizable 'intrinsic' process heat transfer film coefficient, i.e., one that includes the effects of axial …
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