Thesis (Ph.D.) -- University of Adelaide, Department of Applied Mathematics, 1975.

Thesis (Ph. D.)--University of Florida, 2004. / Title from title page of source document. Document formatted into pages; contains 158 pages. Includes vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 1986. / Vita. Bibliography: leaves [81]-83.

Thesis (M.Eng.)(Mechanical)--University of Pretoria, 2005. / Title from opening screen (viewed 20 March, 2006). Summaries in English and Afrikaans. Includes bibliographical references.

The objective of robust portfolio optimization is to find a way to allocate capital to some financial assets such that portfolio return is maximized in the worst-case scenario, which is desirable for investors with a low tolerance for risk. This study aims to apply the robust approach to asset allocation based on 30 of the biggest stocks on the Stockholm Stock Exchange. Three models with different constraints on portfolio return and variance are obtained and solved using the Gurobi Optimizer. The result of any one of the models could be proposed as a low-risk portfolio. The choice between the models is a trade-off between higher expected return and lower variance, and it depends on the individual preferences of the investor.

Thesis (M.S.)--Wake Forest University. Dept. of Computer Science, 2004. / Includes bibliographical references (leaves 67-69).

This thesis is concerned with investigating new methods for the analysis of large-scale dynamical systems using convex optimization. The proposed methodology is based on composite Lyapunov theory and is computationally implemented using polynomial programming techniques. The main result of this work is the development of a system decomposition framework that makes it possible to analyze systems that are of such a scale that traditional methods cannot cope with. We begin by addressing the problem of model invalidation. A barrier certificate method for invalidating models in the presence of uncertain data is presented for both continuous and discrete time models. It is shown how a re-parameterization of the time dependent variables can improve the numerical conditioning of the underlying optimization problem. The main contribution of this thesis is the development of an automated dynamical system decomposition framework that permits us to verify the stability of systems that typically have a state dimension large enough to render traditional computational methods intractable. The underlying idea is to decompose a system into a set of lower order subsystems connected in feedback in such a manner that composite methods for stability verification may be employed. What is unique about the algorithm presented is that it takes into account both dynamics and the topology of the interconnection graph. In the first instance we illustrate the methodology with an ecological network and primal Internet congestion control scheme. The versatility of the decomposition framework is also highlighted when it is shown that when applied to a model of the EGF-MAPK signaling pathway it is capable of identifying biologically relevant subsystems in addition to stability verification. Finally we introduce stability metrics for interconnected dynamical systems based on the theory of dissipativity. We conclude by outlining a clustering based decomposition algorithm that explicitly takes into account the input and output dynamics when determining the system decomposition.

The aim of this work is the analysis of current practices and techniques of Internet marketing. The work is divided into two parts. The theoretical part presents the current internet marketing tools, the optimal utilization is reflected in the practical part, which is carried out a comprehensive plan for internet marketing strategy with emphasis on SEO for start-up company in the field of accommodation and hospitable service. This is a company Penzion U Lišky, which offers accommodation in Southern Bohemia. The work will serve as a guide for small and medium organizations in the development of marketing projects. The practical part of the evidence considered in developing websites and methods to optimize site for search engines. The next section provides recommendations for use of PPC campaigns and presentation of the company's social networking site Facebook. The analysis methods for increasing traffic through social networking, PR articles, blogging and other tools.

WS-DSAC à uma plataforma desenvolvida sob um cluster de servidores Web com balanceamento de cargas capaz de realizar o controle de admissÃo e diferenciaÃÃo de serviÃos para permitir a diferenciaÃÃo da QoS oferecida aos clientes e utilizar de forma eficaz os recursos disponÃveis. Quando requisiÃÃes em excesso sÃo enviadas para o cluster, o sistema se torna "saturado". Isto significa que o mecanismo de controle de admissÃo nÃo à mais capaz de manter o tempo de resposta necessÃrio para que se possa garantir a qualidade de serviÃo do sistema como um todo. Neste trabalho à apresentado um mecanismo que utiliza o conceito de interrupÃÃo e reativaÃÃo de processos para otimizar a capacidade de processamento do sistema com a finalidade de evitar o problema da "saturaÃÃo". Este mecanismo interrompe apenas os processos que podem ocasionar sobrecarga do servidor e reinicializando-os posteriormente quando a carga do servidor volta a melhores condiÃÃes de processamento. Desta forma, à possÃvel aumentar o nÃmero de requisiÃÃes privilegiadas Ãs expensas de outros serviÃos que podem esperar, diminuindo tambÃm nÃmero de requisiÃÃes nÃo atendidas. / With the expansion of services offered through the Internet and the popularization of the Web technology in the modern world, the toughest problems Web server administrators face are how to dimension infrastructure and how to manage the high workload during intense processing moments. As a result, we have websites with extremely high response times, due to bad resource management. This paper presents a mechanism of high availability for services and process management, for the optimization of server capacity, through a technique called process interruption and restart. The interruption and restart technique was employed to enable services to be available even through high workload moments. The restarts have three important advantages. First, it either makes a process go back to its initial state or become immune to problems. Second, the restarts have the property of increasing system reliability. The suspension and restart technique is utilized to control resource consumption under heavy processing workload. Another advantage is that restarting is a simple mechanism, easy to implement and retrieve. This has created the possibility of creating a new layer that allows better process management under severe workloads. It provides better machine performance, lower response time, and greater service availability, in addition to meeting SLA needs â QoS contracts.

This thesis mainly concerns modeling, approximation and inference of gene regulatory dynamics on the basis of gene expression patterns. The dynamical behavior of gene expressions is represented by a system of ordinary dierential equations. We introduce a gene-interaction matrix with some nonlinear entries, in particular, quadratic polynomials of the expression levels to keep the system solvable. The model parameters are determined by using optimization. Then, we provide the time-discrete approximation of our time-continuous model. We analyze the approximating model under the aspect of stability. Finally, from the considered models we derive gene regulatory networks, discuss their qualitative features of the networks and provide a basis for analyzing networks with nonlinear connections.