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Browsing Department of Decision Sciences by Title

Browsing Department of Decision Sciences by Title

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  • Latent relationships between Markov processes, semigroups and partial differential equations 
    Kajama, Safari Mukeru (2009-08-25)
    This research investigates existing relationships between the three apparently unrelated subjects: Markov process, Semigroups and Partial difierential equations. Markov processes define semigroups through their transition ...
  • Local times of Brownian motion 
    Mukeru, Safari (2010-09)
    After a review of the notions of Hausdorff and Fourier dimensions from fractal geometry and Fourier analysis and the properties of local times of Brownian motion, we study the Fourier structure of Brownian level sets. ...
  • Masjienleerbenadering tot woordafbreking in Afrikaans 
    Fick, Machteld (2013-06)
    Die doel van hierdie studie was om te bepaal tot watter mate ’n suiwer patroongebaseerde benadering tot woordafbreking bevredigende resultate lewer. Die masjienleertegnieke kunsmatige neurale netwerke, beslissingsbome en ...
  • Metaheuristic approaches to realistic portfolio optimisation 
    Busetti, Franco Raoul (2000-06)
    In this thesis we investigate the application of two heuristic methods, genetic algorithms and tabu/scatter search, to the optimisation of realistic portfolios. The model is based on the classical mean-variance approach, ...
  • On fractional volatility modelling 
    Mpanda, Marc Mukendi (2022-08)
    In this thesis, we investigate the roughness feature within realised volatility for different financial markets by using the multifractal detrended fluctuation approach and microstructure noise index technique, and we ...
  • On quantifying miltary strategy. 
    Engelbrecht, Gerhard Nieuwoudt (2003-06)
    Military Strategy is defined as a plan at the military strategic level of war that consists of a set of military strategic ends, ways and means and the relationships between them. This definition leads to the following ...
  • Performance improvements in machine learning approaches for fault detection and soft sensing in the process industry 
    Mazibuko, Tshidiso (2021-12)
    The main focus of this research is on the application of machine learning in solving problems that have not been solved by the advancement in process simulation and automation tools in the process industry. These problems ...
  • Satisficing solutions for multiobjective stochastic linear programming problems 
    Adeyefa, Segun Adeyemi (2011-06)
    Multiobjective Stochastic Linear Programming is a relevant topic. As a matter of fact, many real life problems ranging from portfolio selection to water resource management may be cast into this framework. There are ...
  • Time-window optimization for a constellation of earth observation satellite 
    Oberholzer, Christiaan Vermaak (2009-02)
    Satellite Scheduling Problems (SSP) are NP-hard and constraint programming and metaheuristics solution methods yield mixed results. This study investigates a new version of the SSP, the Satellite Constellation Time-Window ...

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