AbstractIt is well known that a nondeterministic Turing machine can be simulated in polynomial time by a so-called guess-and-verify machine. It is an open question whether an analogous simulation exists in the context of space-bounded computation. In this paper, a negative answer to this question is given for ordered binary decision diagrams (OBDDs) and one-way Turing machines. If it is required that all nondeterministic guesses occur at the beginning of the computation, this can blow up the space complexity exponentially in the input length for these models. This is a consequence of the following main result of the paper. There is a sequence of boolean functions fn:{0,1}n→{0,1} such that fn has nondeterministic OBDDs of polynomial size tha...
AbstractWe give the first nontrivial model-independent time–space tradeoffs for satisfiability. Name...
AbstractThe study of the computational power of randomized computations is one of the central tasks ...
We extend the tools for proving lower bounds for randomized branching programs by presenting a new t...
AbstractIt is well known that a nondeterministic Turing machine can be simulated in polynomial time ...
AbstractIn this paper, the space complexity of non-uniform quantum algorithms is investigated using ...
grantor: University of TorontoUniform complexity classes are typically defined in terms of...
© Springer-Verlag Berlin Heidelberg 1997. In [3] we exhibited a simple boolean functions fn in n var...
AbstractWe prove an exponential lower bound 2Ω(n/logn) on the size of any randomized ordered read-on...
AbstractNondeterministic branching programs introduced by Meinel (1986) proved to be an interesting ...
AbstractIt is well known that probabilistic boolean decision trees cannot be much more powerful than...
AbstractBranching programs are considered as a nonuniform model of computation in complexity theory ...
The non-uniform version of Turing machines with an extra advice input tape that depends on the lengt...
In [3] we exhibited a simple boolean functions f n in n variables such that: 1) f n can be computed ...
We survey some upper and lower bounds established recently on the sizes of randomized branching prog...
AbstractWe investigate the relationship between probabilistic and nondeterministic complexity classe...
AbstractWe give the first nontrivial model-independent time–space tradeoffs for satisfiability. Name...
AbstractThe study of the computational power of randomized computations is one of the central tasks ...
We extend the tools for proving lower bounds for randomized branching programs by presenting a new t...
AbstractIt is well known that a nondeterministic Turing machine can be simulated in polynomial time ...
AbstractIn this paper, the space complexity of non-uniform quantum algorithms is investigated using ...
grantor: University of TorontoUniform complexity classes are typically defined in terms of...
© Springer-Verlag Berlin Heidelberg 1997. In [3] we exhibited a simple boolean functions fn in n var...
AbstractWe prove an exponential lower bound 2Ω(n/logn) on the size of any randomized ordered read-on...
AbstractNondeterministic branching programs introduced by Meinel (1986) proved to be an interesting ...
AbstractIt is well known that probabilistic boolean decision trees cannot be much more powerful than...
AbstractBranching programs are considered as a nonuniform model of computation in complexity theory ...
The non-uniform version of Turing machines with an extra advice input tape that depends on the lengt...
In [3] we exhibited a simple boolean functions f n in n variables such that: 1) f n can be computed ...
We survey some upper and lower bounds established recently on the sizes of randomized branching prog...
AbstractWe investigate the relationship between probabilistic and nondeterministic complexity classe...
AbstractWe give the first nontrivial model-independent time–space tradeoffs for satisfiability. Name...
AbstractThe study of the computational power of randomized computations is one of the central tasks ...
We extend the tools for proving lower bounds for randomized branching programs by presenting a new t...