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Properties of interval Boolean functions
Hušek, Radek ; Čepek, Ondřej (advisor)
Boolean function f is k-interval if - input vector viewed as n-bit number - f is true for and only for inputs from given (at most) k intervals. Recognition of k-interval fuction given its DNF representation is coNP-hard problem. This thesis shows that for DNFs from a given solvable class (class C of DNFs is solvable if we can for any DNF F ∈ C decide F ≡ 1 in polynomial time and C is closed under partial assignment) and fixed k we can decide whether F represents k-interval function in polynomial time. 1
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Graph communication protocols
Folwarczný, Lukáš ; Pudlák, Pavel (advisor) ; Sgall, Jiří (referee)
Graph communication protocols are a generalization of classical communi- cation protocols to the case when the underlying graph is a directed acyclic graph. Motivated by potential applications in proof complexity, we study variants of graph communication protocols and relations between them. The main result is a comparison of the strength of two types of protocols, protocols with equality and protocols with a conjunction of a constant num- ber of inequalities. We prove that protocols of the first type are at least as strong as protocols of the second type in the following sense: For a Boolean function f, if there is a protocol with a conjunction of a constant number of inequalities of polynomial size solving f, then there is a protocol with equality of polynomial size solving f. We also introduce two new types of graph communication protocols, protocols with disjointness and protocols with non-disjointness, and prove that the first type is at least as strong as the previously considered protocols and that the second type is too strong to be useful for applications.
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Boolean methods in knowledge compilation
Kaleyski, Nikolay Stoyanov ; Čepek, Ondřej (advisor) ; Gregor, Petr (referee)
The open problem in knowledge compilation of whether the language PI is at least as succinct as MODS is answered in the negative. For this purpose a class of Boolean functions with a number of prime implicants that is superpolynomial in their number of false points is constructed. A lower bound (proving that PI is not at least as succinct as MODS), an upper bound (proving that the counterexample cannot yield an exponential separation of PI and MODS) and the precise number of the prime implicants of these functions is computed. Powered by TCPDF (www.tcpdf.org)
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Properties of interval Boolean functions
Hušek, Radek ; Čepek, Ondřej (advisor) ; Kučera, Petr (referee)
Boolean function f is k-interval if - input vector viewed as n-bit number - f is true for and only for inputs from given (at most) k intervals. Recognition of k-interval fuction given its DNF representation is coNP-hard problem. This thesis shows that for DNFs from a given solvable class (class C of DNFs is solvable if we can for any DNF F ∈ C decide F ≡ 1 in polynomial time and C is closed under partial assignment) and fixed k we can decide whether F represents k-interval function in polynomial time. 1
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Special Classes of Boolean Functions with Respect to the Complexity of their Minimization.
Gurský, Štefan ; Čepek, Ondřej (advisor) ; Marquis, Pierre (referee) ; Janota, Mikoláš (referee)
In this thesis we study Boolean functions from three different perspectives. First, we study the complex- ity of Boolean minimization for several classes of formulas with polynomially solvable SAT, and formulate sufficient conditions for a class which cause the minimization problem to drop at least one level in the polyno- mial hierarchy. Second, we study a class of matched CNFs for which SAT is trivial but minimization remains Σp 2 complete. We prove that every matched CNF has at least one equivalent prime and irredundant CNF that is also matched. We use this fact to prove the main result of this part, namely that for every matched CNF all clause minimal equivalent CNFs are also matched. Third, we look at propagation completeness - the property of a CNF that says that for every partial assignment all entailed literals can be discovered by unit propagation. We can extend every CNF to be propagation complete by adding empowering impli- cates to it. The main result of this section is a the proof of coNP completeness of the recognition problem for propagation complete CNFs. We also show that there exist CNFs to which an exponential number of empowering implicates have to be added to make them propagation complete.
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A Library for Binary Decision Diagrams
Janků, Petr ; Hrubý, Martin (referee) ; Holík, Lukáš (advisor)
Efficient manipulation of Boolean functions is an important component of many computer-aided design task. As a data structure for representing and manipulating Boolean functions, Binary Decision Diagrams are commonly used. These diagrams are commonly used in many fields such as model checking, system verification, circuit design, etc. In this thesis we describe these diagrams and there are present their modifications. Furthermore, this paper present and describes techniques for effective handling and representation of binary decision diagrams. This thesis describes the design and implementation of library that will work with these diagrams. It is further discussed how the developed library can be used within the library VATA for manipulating tree automata. Finally, the library was compared with well known and heavily optimized library CUDD, which is public and with library CacBDD. The experimental results showed that the performance of the proposed library is quite close to that of CUDD a CacBDD (has comparable and mostly even slightly better performance).
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