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GUI aplikace pro řešení úlohy z kooperativní teorie her
Cerman, Otto ; Dlouhý, Martin (advisor) ; Tichá, Michaela (referee)
Occasionally, a part of the budget of a city, company or other entity has to be allocated among its parts in the form of subsidies or other contributions. The main objective of such an entity is to find such a set of criteria and such a set of their relative weights that estimate the expected cost best. The objective of a sub-entity is subsidy maximization by influencing the criteria and their weights. From this reason, the best budget splitting is a relative term. From the mathematical point of view, such a problem belongs to mathematical optimization or mathematical programming. In this thesis, five quantitative methods are presented. Two of them set the weights without the participation of decision makers. The first allocation method is based on multiple-criteria decision-making and the second one on data envelopment analysis. Together with them, a different mathematical model with maximum and minimum weights for the set of criteria is presented. Two its modifications are discussed too. As the only one presented multi-criteria mathematical model is based on maximization of the relative and absolute profit simultaneously. The aim of this work is to study the known mathematical models for subsidy allocation problem, to invent new ones, to choose suitable ones and subsequently to implement the suitable ones into a standalone GUI application created in the Matlab environment. The presented application proposes several allocation possibilities according to different selected models using mathematical functions taken from Matlab. This user-friendly application is executable on common computers and can be used at the Magistrate of the City of Prague as a support tool in voting decision. Moreover, this application can be extended to new methods or program functions. The selected quantitative methods are used for the budget allocation problem among the city districts for real data of the City of Prague. Experimental results are discussed.
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New interactive software for seismic data processing
Doubravová, Jana ; Horálek, Josef
Seismon is an open source software package under GNU General Public Li- cense developed by Stefan Mertl (TU Wien). It is designed as a modular pro- gram with de ned interface for speci c types of modules. This gives program- mer rules how to add new tools easily without disturbing the program integrity. Seismon is written in MATLAB and all input and output data are stored in MySQL database which can be accessed by more Seismon users simultaneously. Seismon is initially equipped with tools for communication with the database, various waveform le conversions, and basic tools for data analysis and visual- ization. To use this software for routine processing of data from local seismic network in West Bohemia (WEBNET), some adaptations had to be done, and the modi ed program was called Seismon_WB. There had to be put a great emphasis on user friendliness which required to de ne keyboard shortcuts, add status bars directly displaying current possibilities and properties, or extract the most important functions out of structured menus to main window as GUI components.
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Realization of demanding computing tasks on MetaCentrum
HORELICA, Josef
This thesis deals with the realization of demanding computing tasks on MetaCentrum. For these purposes was created the manual, which should help beginners on MetaCentrum. The first part is about the basic knowledge about parallel computation, characterization of means for computing, project MetaCentrum and some applications offered by MetaCentrum. In the second part there are the practical examples of computing on MetaCentrum. The enclosed CD contains the multimedia tutorial.
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Graphics card as a cheap supercomputer
Přikryl, Jan
The current powerful graphics cards, providing stunning real-time visual effects for computer-based entertainment, have to accommodate powerful hardware components that are able to deliver the photo-realistic simulation to the end-user. Given the vast computing power of the graphics hardware, its producers very often offer a programming interface that makes it possible to use the computational resources of the graphics processors (GPU) to more general purposes. This step gave birth to the so-called GPGPU (general-purpose GPU) processors that – if programmed correctly – are able to achieve astonishing performance in floating point operations. In this paper we will briefly overview nVidia CUDA technology and we will demonstrate a process of developing a simple GPGPU application both in the native GPGPU style and in the add-ons for Matlab (Jacket and Parallel Toolbox).
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Preparation of educational material for developing of GUI in MATLAB
ŠIMEK, Jakub
The aim of this thesis is to create an educational material for creating graphical user interfaces in MATLAB. The reader will learn the basic procedures of the GUI creation, get to know the various graphic objects and learn about the GUIDE environment, which is intended for the actual application development. Text is supplemented by practical examples of source code fragments as much as possible. All material is accompanied by two functional sample applications with their source code.
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Solution of selected problems from operations research in Matlab
Dubový, Vojtěch ; Zouhar, Jan (advisor) ; Borovička, Adam (referee)
The bachelor thesis is dealing with the solution of optimalization tasks selected from operational research within the framework of the general computing environment Matlab. The reader is given information about working environment, basic procedure of dealing with practical tasks and problem solving within operational research. Tasks solutions were achieved by taking advantage of some Toolboxes, for example Optimalisation Toolbox and Yalmip Toolbox. The focus of the work is to present readers with a compact volume of knowledge so that they are able to deal with optimalization tasks in the computing environment Matlab.
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