Ordered binary decision diagrams (OBDDs) are a very popular graph representation for Boolean functions. They can be viewed as finite automata recognizing sets of strings of a fixed length, where the letters of the input strings are read at most once in a predefined ordering. The string matching problem with string w as pattern, consists of determining, given an input string, whether or not it contains w as substring. We show that for a fraction of orderings tending to 1 when n increases arbitrarily, the minimal size of an OBDD solving the string matching problem for strings of length n has a growth which is an exponential in n
AbstractWe consider the size of the representation of Boolean functions by several classes of binary...
... graphs. They form a canonical representation, making testing of functional properties such as sa...
Abstract. Ordered binary decision diagrams (OBDDs) are nowadays the most common dynamic data structu...
AbstractOrdered binary decision diagrams (OBDDs) are a very popular graph representation for Boolean...
The maximum matching problem is one of the most fundamental algorithmic graph problems and OBDDs are...
Ordered binary decision diagrams (OBDDs) and their variants are motivated by the need to represent B...
[[abstract]]The behavior of ordered binary decision diagrams (OBDD) for general Boolean functions is...
AbstractOrdered binary decision diagrams (OBDDs) are nowadays the most common dynamic data structure...
Abstract. Ordered binary decision diagrams (OBDDs) are nowadays the most common dynamic data structu...
Many Boolean functions have short representations by OBDDs (ordered binary decision diagrams), if ap...
The manipulation of large sequence data is one of the most important problems in string processing. ...
AbstractAn ordered binary decision diagram (OBDD) is a graph representation of a Boolean function. W...
Ordered Binary Decision Diagrams (OBDDs) represent Boolean functions as directed acyclic graphs. The...
AbstractAn ordered binary decision diagram (OBDD) is a graph representation of a Boolean function. I...
AbstractIn many applications like verification or combinatorial optimization, ordered binary decisio...
AbstractWe consider the size of the representation of Boolean functions by several classes of binary...
... graphs. They form a canonical representation, making testing of functional properties such as sa...
Abstract. Ordered binary decision diagrams (OBDDs) are nowadays the most common dynamic data structu...
AbstractOrdered binary decision diagrams (OBDDs) are a very popular graph representation for Boolean...
The maximum matching problem is one of the most fundamental algorithmic graph problems and OBDDs are...
Ordered binary decision diagrams (OBDDs) and their variants are motivated by the need to represent B...
[[abstract]]The behavior of ordered binary decision diagrams (OBDD) for general Boolean functions is...
AbstractOrdered binary decision diagrams (OBDDs) are nowadays the most common dynamic data structure...
Abstract. Ordered binary decision diagrams (OBDDs) are nowadays the most common dynamic data structu...
Many Boolean functions have short representations by OBDDs (ordered binary decision diagrams), if ap...
The manipulation of large sequence data is one of the most important problems in string processing. ...
AbstractAn ordered binary decision diagram (OBDD) is a graph representation of a Boolean function. W...
Ordered Binary Decision Diagrams (OBDDs) represent Boolean functions as directed acyclic graphs. The...
AbstractAn ordered binary decision diagram (OBDD) is a graph representation of a Boolean function. I...
AbstractIn many applications like verification or combinatorial optimization, ordered binary decisio...
AbstractWe consider the size of the representation of Boolean functions by several classes of binary...
... graphs. They form a canonical representation, making testing of functional properties such as sa...
Abstract. Ordered binary decision diagrams (OBDDs) are nowadays the most common dynamic data structu...