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Development and history of probability theory
Michalová, Jitka ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This bachelor thesis deals with the history and development of probability and its theory before the introduction of Kolmogorov's axiomatic definition in the 20th century. It follows the Problem of points and its solvers: Luca Pacioli, Niccola Fontana Tartaglia, Blaise Pascal and Pierre de Fermat. It focuses on the works De Ratiociniis in Ludo Aleae by Christiaan Huygens and Ars Conjectandi by Jacob Bernoulli. It also deals with various definitions of probability: classical (Laplac), statistical, geometric and Kolmogorov's axiomatic definition. It also covers conditional probability and Bayes's Theorem.
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Combinatorial optimization problems in waste management
Michalová, Jitka ; Šeda, Miloš (referee) ; Kůdela, Jakub (advisor)
This master’s thesis is focused on creation of an optimization model for the location allocation problem. The first part of the thesis is an introduction to optimization, which describes the most common methods for solving optimization problems and contains a list of approaches and methods most commonly used in waste management. The next part deals with the creation of a binary integer programming problem, its application to real data and a comparison of MATLAB and ILOG CPLEX solvers. Lastly, hierarchical and kmeans clustering are introduced, they are then applied to specific largescale problems.
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Combinatorial optimization problems in waste management
Michalová, Jitka ; Šeda, Miloš (referee) ; Kůdela, Jakub (advisor)
This master’s thesis is focused on creation of an optimization model for the location allocation problem. The first part of the thesis is an introduction to optimization, which describes the most common methods for solving optimization problems and contains a list of approaches and methods most commonly used in waste management. The next part deals with the creation of a binary integer programming problem, its application to real data and a comparison of MATLAB and ILOG CPLEX solvers. Lastly, hierarchical and kmeans clustering are introduced, they are then applied to specific largescale problems.
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Development and history of probability theory
Michalová, Jitka ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This bachelor thesis deals with the history and development of probability and its theory before the introduction of Kolmogorov's axiomatic definition in the 20th century. It follows the Problem of points and its solvers: Luca Pacioli, Niccola Fontana Tartaglia, Blaise Pascal and Pierre de Fermat. It focuses on the works De Ratiociniis in Ludo Aleae by Christiaan Huygens and Ars Conjectandi by Jacob Bernoulli. It also deals with various definitions of probability: classical (Laplac), statistical, geometric and Kolmogorov's axiomatic definition. It also covers conditional probability and Bayes's Theorem.
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The Market Segmentation with using Cluster Analysis Methods
MICHALOVÁ, Jitka
This diploma work is called ``The Market Segmentation with using Cluster Analysis Methods``. This segmentation is made in the marketplace of tourism. The cluster analysis methods are classified into hierarchical and no hierarchical ones. The hierarchical methods are divided into the following methods: The nearest neighbour metod, The furthest neighbour metod, The weighted group metod. MacQueen K-means and Wishart methods are no hierarchical methods. In the work we can find the division of one informant into 5 groups according to two methods ( The furthest neighbour metod and MacQueen K-means). Each group has its own representative which consists of the most frequent answers. This information is exploited at sorting clients in turism.
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