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Introduction to Computation and complexity
Computational complexity theory (6-10)
10 - Space complexity
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Merel DJ
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Cards (15)
memory
space-bounded computations
PSPACE
polynomial space/memory requirements seem to be
less
stringent than for polynomial
running
time.
space-bounded
computation like SPACE(f(n)) are based on a maximum number of O(f|x|)
non-blank
tape symbols
Landscape of complexity classes
A)
P
B)
NP
C)
PSPACE
D)
EXP
4
Space-bounded computations are at least as powerful as time-bounded ones
A)
f(n)
B)
language
C)
implies
3
PSPACE
contains all languages that can be decided using
polynomial
space (in input size)
NSPACE
if there is a
nondeterminstic
TM that decides x in A based on trajectories that all use at most O(f(|x|))
non-blank
tape symbols
Savitch' s theorem
NPSPACE =
PSPACE
PSPACE = NPSACE
A)
=<
B)
hard
C)
NP-complete
3
QBF
Quantifiers first and then the clauses
Fact
A)
CNF
B)
satisfiable
C)
true
D)
1
4
TQBF
a fully quantified boolean formula in the form of a
QBF
evaluates to
1
TQBF
contained in PSPACE
TQBF can be used as an
optimal
strategy in a
2-player
game (with perfect knowledge)
Determining whether the 2-player QBF game introduced above has an
optimal
winning strategy is
PSPACE
complete