LOGCFL

Computational complexity class From Wikipedia, the free encyclopedia

In computational complexity theory, LOGCFL is the complexity class that contains all decision problems that can be reduced in logarithmic space to a context-free language.[1] This class is closed under complementation.[1] It is situated between NL and AC1, in the sense that it contains the former[1] and is contained in the latter.[2] Problems that are complete for LOGCFL include many problems that can be characterized by acyclic hypergraphs:

LOGCFL is the set of decision problems solvable by nondeterministic auxiliary pushdown automata in log space and polynomial time.[5]

See also

References

Related Articles

Wikiwand AI