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Modifications of the limited-memory BNS method for better satisfaction of previous quasi-Newton conditions
Vlček, Jan ; Lukšan, Ladislav
Several modifications of the limited-memory variable metric BNS method for large scale un- constrained optimization are proposed, which consist in corrections (derived from the idea of conjugate directions) of the used difference vectors to improve satisfaction of previous quasi-Newton conditions, utilizing information from previous or subsequent iterations. In case of quadratic objective functions, conjugacy of all stored diffrence vectors and satisfaction of quasi-Newton conditions with these vectors is established. There are many possibilities how to realize this approach and although only two methods were implemented and tested, preliminary numerical results are promising.
Fulltext: content.csg -  PDF
Plný tet: v1127-11 - PDF
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Analysis of the market of lower middle class cars with target of increasing market share for product
Zich, Štěpán ; Vávra, Oldřich (advisor) ; Vlček, Jan (referee)
The main goal of this thesis is to analyse possibilities for market share grow for new model of Mercedes-Benz A class in the Czech republic, the car comes to market by 2012 and belongs to lower middle class category. The method for reaching the goal is analysis of competition forces by Porter, it means threat of new entrants and substitute products, bargaining power of buyers and suppliers and rivalry among existing firms. The sources for information are statistics from SDA and intern data from Mercedes-Benz Czech republic and websites of car dealers. Results are sorted in SWOT scheme. Conclusions are marketing recommendations: the strategy of differentiation, keeping main brand competition advantages, in short term increase of investments in promotion, in middle term fight with bad local reputation and increase of dealerships and services in ČR.
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