Results 1  10
of
31
Graphbased algorithms for Boolean function manipulation
 IEEE TRANSACTIONS ON COMPUTERS
, 1986
"... In this paper we present a new data structure for representing Boolean functions and an associated set of manipulation algorithms. Functions are represented by directed, acyclic graphs in a manner similar to the representations introduced by Lee [1] and Akers [2], but with further restrictions on th ..."
Abstract

Cited by 3499 (47 self)
 Add to MetaCart
(Show Context)
In this paper we present a new data structure for representing Boolean functions and an associated set of manipulation algorithms. Functions are represented by directed, acyclic graphs in a manner similar to the representations introduced by Lee [1] and Akers [2], but with further restrictions on the ordering of decision variables in the graph. Although a function requires, in the worst case, a graph of size exponential in the number of arguments, many of the functions encountered in typical applications have a more reasonable representation. Our algorithms have time complexity proportional to the sizes of the graphs being operated on, and hence are quite efficient as long as the graphs do not grow too large. We present experimental results from applying these algorithms to problems in logic design verification that demonstrate the practicality of our approach.
Symbolic Boolean manipulation with ordered binarydecision diagrams
 ACM COMPUTING SURVEYS
, 1992
"... Ordered BinaryDecision Diagrams (OBDDS) represent Boolean functions as directed acyclic graphs. They form a canonical representation, making testing of functional properties such as satmfiability and equivalence straightforward. A number of operations on Boolean functions can be implemented as grap ..."
Abstract

Cited by 1022 (13 self)
 Add to MetaCart
Ordered BinaryDecision Diagrams (OBDDS) represent Boolean functions as directed acyclic graphs. They form a canonical representation, making testing of functional properties such as satmfiability and equivalence straightforward. A number of operations on Boolean functions can be implemented as graph algorithms on OBDD
Efficient implementation of a BDD package
 In Proceedings of the 27th ACM/IEEE conference on Design autamation
, 1991
"... Efficient manipulation of Boolean functions is an important component of many computeraided design tasks. This paper describes a package for manipulating Boolean functions based on the reduced, ordered, binary decision diagram (ROBDD) representation. The package is based on an efficient implementat ..."
Abstract

Cited by 500 (9 self)
 Add to MetaCart
Efficient manipulation of Boolean functions is an important component of many computeraided design tasks. This paper describes a package for manipulating Boolean functions based on the reduced, ordered, binary decision diagram (ROBDD) representation. The package is based on an efficient implementation of the ifthenelse (ITE) operator. A hash table is used to maintain a strong carwnical form in the ROBDD, and memory use is improved by merging the hash table and the ROBDD into a hybrid data structure. A memory funcfion for the recursive ITE algorithm is implemented using a hashbased cache to decrease memory use. Memory function efficiency is improved by using rules that detect. when equivalent functions are computed. The usefulness of the package is enhanced by an automatic and lowcost scheme for rec:ycling memory. Experimental results are given to demonstrate why various implementation tradeoffs were made. These results indicate that the package described here is significantly faster and more memoryefficient than other ROBDD implementations described in the literature. 1
The NPcompleteness column: an ongoing guide
 JOURNAL OF ALGORITHMS
, 1987
"... This is the nineteenth edition of a (usually) quarterly column that covers new developments in the theory of NPcompleteness. The presentation is modeled on that used by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NPCompleteness," W. H. Freem ..."
Abstract

Cited by 242 (0 self)
 Add to MetaCart
(Show Context)
This is the nineteenth edition of a (usually) quarterly column that covers new developments in the theory of NPcompleteness. The presentation is modeled on that used by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NPCompleteness," W. H. Freeman & Co., New York, 1979 (hereinafter referred to as "[G&J]"; previous columns will be referred to by their dates). A background equivalent to that provided by [G&J] is assumed, and, when appropriate, crossreferences will be given to that book and the list of problems (NPcomplete and harder) presented there. Readers who have results they would like mentioned (NPhardness, PSPACEhardness, polynomialtimesolvability, etc.) or open problems they would like publicized, should
Efficient Boolean Manipulation with OBDD's Can be Extended to FBDD's
, 1993
"... OBDD's are the stateoftheart data structure for Boolean function manipulation since basic tasks of Boolean manipulation such as testing equivalence, satisfiability, or tautology, and performing single Boolean synthesis steps can be done efficiently. In the following we show that the efficien ..."
Abstract

Cited by 36 (0 self)
 Add to MetaCart
OBDD's are the stateoftheart data structure for Boolean function manipulation since basic tasks of Boolean manipulation such as testing equivalence, satisfiability, or tautology, and performing single Boolean synthesis steps can be done efficiently. In the following we show that the efficient manipulation of OBDD's can be extended to a more general data structure, socalled FBDD's. In detail, the advantages of using FBDD's instead of OBDD's are ffl FBDD's are generally more (sometimes even exponentially more) succinct than OBDD's, ffl FBDD's provide, similarly to OBDD's, canonical representations of Boolean functions, and ffl in terms of FBDD's basic tasks of Boolean manipulation can be performed similarly efficient as in terms of OBDD's. The power of the FBDDconcept is demonstrated by showing that the verification of the benchmark circuit design for the hidden weighted bit function HWB proposed by Bryant can be carried out efficiently in terms of FBDD's while, for princip...
Binary decision diagrams in theory and practice
, 2001
"... Decision diagrams (DDs) are the stateoftheart data structure in VLSI CAD and have been successfully applied in many other fields.DDs are widely used and are also integrated in commercial tools.This special section comprises six contributed articles on various aspects of the theory and application ..."
Abstract

Cited by 31 (7 self)
 Add to MetaCart
Decision diagrams (DDs) are the stateoftheart data structure in VLSI CAD and have been successfully applied in many other fields.DDs are widely used and are also integrated in commercial tools.This special section comprises six contributed articles on various aspects of the theory and application of DDs.As preparation for these contributions, the present article reviews the basic definitions of binary decision diagrams (BDDs). We provide a brief overview and study theoretical and practical aspects.Basic properties of BDDs are discussed and manipulation algorithms are described.Extensions of BDDs are investigated and by this we give a deeper insight into the basic data structure.Finally we outline several applications of BDDs and their extensions and suggest a number of articles and books for those who wish to pursue the topic in more depth.
Frontiers of Feasible and Probabilistic Feasible Boolean Manipulation with Branching Programs
 Proc. of 10th Annual Symposium on Theoretical Aspects of Computer Science (Feb.), Lecture Notes in Computer Science 665
, 1993
"... Abstract. A central issue in the solution of many computer aided design problems is to find concise representations for circuit designs and their functional specification. Recently, a restricted type of branching programs (OBDDs) proved to be extremely useful for representing Boolean functions for v ..."
Abstract

Cited by 20 (7 self)
 Add to MetaCart
(Show Context)
Abstract. A central issue in the solution of many computer aided design problems is to find concise representations for circuit designs and their functional specification. Recently, a restricted type of branching programs (OBDDs) proved to be extremely useful for representing Boolean functions for various CAD applications [Bry92]. Unfortunatelly, many circuits of practical interest provably require OBDDrepresentations of exponential size. In the following we systematically study the question up to what extend more concise BPrepresentations can be successfully used in symbolic Boolean manipulation, too. We prove, in very general settings,  The frontier of efficient (deterministic) symbolic Boolean manipulation on the basis of BPrepresentations are readonceonly branching programs (BP1).  The frontier of efficient probabilistic manipulation with BPbased data structures are parity readonceonly branching programs (\Phi BP1). Since BP1s and \PhiBP1s are generally mor...
Two lower bounds for branching programs
, 1986
"... The first result concerns branching programs having width (log n) °{*). We give an fl(n log n ~ log log n) lower bound for the size of such branching programs computing almost any symmetric Boolean function and in particular the following explicit function: "the sum of the input variables is a ..."
Abstract

Cited by 19 (1 self)
 Add to MetaCart
The first result concerns branching programs having width (log n) °{*). We give an fl(n log n ~ log log n) lower bound for the size of such branching programs computing almost any symmetric Boolean function and in particular the following explicit function: "the sum of the input variables is a quadratic residue mod p " where p is any given prime between n 1/4 and n 1/3. This is a strengthening of previous nonlinear lower bounds obtained by Chandra, Furst, Lipton and by Pudlak. We mention that by iterating our method the result can be further strengthened to lfl(nlog n). The second result is a C " lower bound for readonceonly branching programs computing an explicit Boolean function. For n = (~), the function computes the parity of the number of triangles in a graph on v vertices. This improves previous exp(cx/n) lower bounds for other graph functions by Wegener and Z£k. The result implies a linear lower bound for the space complexity of this Boolean function on "eraser machines", i.e. machines that erase each input bit immediately after having read it.
New compilation languages based on structured decomposability
, 2008
"... We introduce in this paper two new, complete propositional languages and study their properties in terms of (1) their support for polytime operations and (2) their ability to represent boolean functions compactly. The new languages are based on a structured version of decomposability—a property tha ..."
Abstract

Cited by 13 (4 self)
 Add to MetaCart
We introduce in this paper two new, complete propositional languages and study their properties in terms of (1) their support for polytime operations and (2) their ability to represent boolean functions compactly. The new languages are based on a structured version of decomposability—a property that underlies a number of tractable languages. The key characteristic of structured decomposability is its support for a polytime conjoin operation, which is known to be intractable for unstructured decomposability. We show that any CNF can be compiled into formulas in the new languages, whose size is only exponential in the treewidth of the CNF. Our study also reveals that one of the languages we identify is as powerful as OBDDs in terms of answering key inference queries, yet is more succinct than OBDDs.
Learning Ordered Binary Decision Diagrams
 In 6th International Workshop on Algorithmic Learning Theory, Lecture Notes in Artificial Intelligence No. 997, Jantke, Shinohara, Zeugmann (Eds
, 1995
"... This note studies the learnability of ordered binary decision diagrams (obdds). We give a polynomialtime algorithm using membership and equivalence queries that finds the minimum obdd for the target respecting a given ordering. We also prove that both types of queries and the restriction to a given ..."
Abstract

Cited by 11 (0 self)
 Add to MetaCart
This note studies the learnability of ordered binary decision diagrams (obdds). We give a polynomialtime algorithm using membership and equivalence queries that finds the minimum obdd for the target respecting a given ordering. We also prove that both types of queries and the restriction to a given ordering are necessary if we want minimality in the output, unless P=NP. If learning has to occur with respect to the optimal variable ordering, polynomialtime learnability implies the approximability of two NPhard optimization problems: the problem of finding the optimal variable ordering for a given obdd and the Optimal Linear Arrangement problem on graphs. 1 Introduction The representation of boolean functions as ordered binary decision diagrams (obdds) has received great attention recently. This representation has nice computational properties for fixed variable ordering such as the existence of a minimum canonical form and, efficient algorithms for elementary boolean operations, sat...