In computational complexity theory, EXPSPACE is the set of all decision problems solvable by a deterministic Turing machine in exponential space, i.e....

complexity classes in the following way: P ⊆ NP ⊆ PSPACE ⊆ EXPTIME ⊆ NEXPTIME ⊆ EXPSPACE. Furthermore, by the time hierarchy theorem and the space hierarchy theorem...

to each other in the following way: L⊆NL⊆P⊆NP⊆PSPACE⊆EXPTIME⊆NEXPTIME⊆EXPSPACE (where ⊆ denotes the subset relation). However, many relationships are...

PSPACE}}\\{\mathsf {PSPACE\subseteq EXPTIME\subseteq EXPSPACE}}\\{\mathsf {NL\subsetneq PSPACE\subsetneq EXPSPACE}}\\{\mathsf {P\subsetneq EXPTIME}}\end{array}}}...

languages are all PSPACE-hard and in EXPSPACE. Spook on regular language is PSPACE-hard, but it's unknown if it's in EXPSPACE. In German, words can be formed...

the set of decision problems that can be solved by a deterministic Turing machine in space 2O(n). See also EXPSPACE. Complexity Zoo: Class ESPACE v t e...

required to represent the problem. It turns out that PSPACE = NPSPACE and EXPSPACE = NEXPSPACE by Savitch's theorem. Other important complexity classes include...

NEXPTIME}}} and N P ⊊ E X P S P A C E {\displaystyle {\mathsf {NP\subsetneq EXPSPACE}}} . In terms of descriptive complexity theory, NP corresponds precisely...

currently stands, it might be PSPACE-complete, EXPTIME-complete, or even EXPSPACE-complete. Japanese ko rules state that only the basic ko, that is, a move...

alternating Turing machine in exponential space, and is a superset of EXPSPACE. An example of a problem in 2-EXPTIME that is not in EXPTIME is the problem...