Branching Programs and Binary Decision Diagrams: Theory and ApplicationsSIAM, 1 янв. 2000 г. - Всего страниц: 418 Finite functions (in particular, Boolean functions) play a fundamental role in computer science and discrete mathematics. This book describes representations of Boolean functions that have small size for many important functions and which allow efficient work with the represented functions. The representation size of important and selected functions is estimated, upper and lower bound techniques are studied, efficient algorithms for operations on these representations are presented, and the limits of those techniques are considered. This book is the first comprehensive description of theory and applications. Research areas like complexity theory, efficient algorithms, data structures, and discrete mathematics will benefit from the theory described in this book. The results described within have applications in verification, computer-aided design, model checking, and discrete mathematics. This is the only book to investigate the representation size of Boolean functions and efficient algorithms on these representations. |
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Другие издания - Просмотреть все
Branching Programs and Binary Decision Diagrams: Theory and Applications Ingo Wegener Ограниченный просмотр - 2000 |
Branching Programs and Binary Decision Diagrams: Theory and Applications Ingo Wegener Недоступно для просмотра - 2000 |
Часто встречающиеся слова и выражения
1-successor Alice apply assignments BDDs binary decision diagrams BMDs Boolean functions characteristic function circuit column communication complexity computation path consider contains corresponding defined Definition described edges leaving efficient equals equivalence test essentially depend EVBDD exponential lower bounds ɛ-bounded error FBDDs function f functions represented G-FBDDs graph ordering Hence HWBn IEEE implies inner nodes input ISAn k-BPs k-OBDDs label layer leads Lemma linear lower bound techniques matrix minimal model checking monomials MTBDDs multiplication nodes nondeterministic NP-complete NP-hard OBDD size obtain OFDDs operations optimal output permutation matrix pigeonhole principle pointer polynomial polynomial-size prime implicants proof of Theorem prove reachable read-once reduced replacement by constants representation type representing f result Sauerhoff Section sink subfunctions symmetric synthesis algorithm Theorem upper bound variable ordering variables xi vector verification vertex vertices Wegener weight window functions x-variables xi-node ZBDDs
