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In [[computational complexity theory]], a [[decision problem]] is '''PSPACE-complete''' if it can be solved using an amount of memory that is polynomial in the input length ([[PSPACE|polynomial space]]) and if every other problem that can be solved in polynomial space can be [[polynomial-time many-one reduction|transformed to it in polynomial time]]. The problems that are PSPACE-complete can be thought of as the hardest problems in '''PSPACE''', because a solution to any one such problem could easily be used to solve any other problem in '''PSPACE'''.
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The PSPACE-complete problems are widely suspected to be outside of the more famous complexity classes '''[[P (complexity)|P]]''' and '''[[NP (complexity)|NP]]''', but that is not known.  It is known that they lie outside of the class '''[[NC (complexity)|NC]]''' (a class of problems with highly efficient parallel algorithms), because problems in '''NC''' can be solved in an amount of space polynomial in the [[logarithm]] of the input size, and the class of problems solvable in such a small amount of space is strictly contained in '''PSPACE''' by the [[space hierarchy theorem]].
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==Examples==
Below are descriptions of a few PSPACE-complete problems. More examples can be found at the [[list of PSPACE-complete problems]].
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===Regular expressions===
   
Given a [[regular expression]] ''R'', determining whether it generates every string over its alphabet is PSPACE-complete.{{sfnp|Hunt|1973}}
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===Context-sensitive grammars===
The first known '''PSPACE'''-complete problem was the [[word problem (computability)|word problem]] for [[deterministic computation|deterministic]] [[context-sensitive grammar]]s. In the word problem for context-sensitive grammars, one is given a set of grammatical transformations which can increase, but cannot decrease, the length of a sentence, and wishes to determine if a given sentence could be produced by these transformations. The technical condition of "determinism" (implying roughly that each transformation makes it obvious that it was used) ensures that this process can be solved in polynomial space, and {{harvtxt|Kuroda|1964}} showed that every (possibly non-deterministic) program computable in [[linear space]] could be converted into the parsing of a context-sensitive grammar, in a way which preserves determinism. In 1970, [[Savitch's theorem]] showed that PSPACE is closed under nondeterminism, implying that even non-deterministic context-sensitive grammars are in PSPACE.
 
===Quantified Boolean formulas===
Nowadays, the archetypal PSPACE-complete problem is generally taken to be the [[quantified Boolean formula problem]] (usually abbreviated to QBF or TQBF; the T stands for "true"), a generalization of the first known [[NP-complete]] problem, the [[Boolean satisfiability problem]] (SAT).  The satisfiability problem is the problem of whether there are assignments of [[truth value]]s to variables that make a Boolean expression true.  For example, one instance of SAT would be the question of whether the following is true:
: <math>\exists x_1 \, \exists x_2 \, \exists x_3 \, \exists x_4: (x_1 \or \neg x_3 \or x_4) \and (\neg x_2 \or x_3 \or \neg x_4)</math>
 
The quantified Boolean formula problem differs in allowing both universal and existential quantification over the values of the variables:
: <math>\exists x_1 \, \forall x_2 \, \exists x_3 \, \forall x_4: (x_1 \or \neg x_3 \or x_4) \and (\neg x_2 \or x_3 \or \neg x_4)</math>.
The proof that QBF is a PSPACE-complete problem is essentially a restatement of the proof of [[Savitch's theorem]] in the language of logic, and is a bit more technical.
 
===Puzzles and games===
An NP-complete problem resembles a typical puzzle: is there some way to plug in values that solves the problem?  Correspondingly, a PSPACE-complete problem resembles a game: is there ''some'' move I can make, such that for ''all'' moves my opponent might make, there will then be ''some'' move I can make to win?  The question alternates existential and universal quantifiers.  Not surprisingly, many puzzles turn out to be NP-complete, and many games turn out to be PSPACE-complete.<ref>{{citation
| last = Eppstein | first = David | author-link = David Eppstein
| title = Computational Complexity of Games and Puzzles
| url = http://www.ics.uci.edu/~eppstein/cgt/hard.html}}</ref>
 
Examples of games that are PSPACE-complete (when [[generalized game|generalized]] so that they can be played on an ''n'' &times; ''n'' board) are the games [[Hex (board game)|hex]] and [[Reversi]] and the solitaire games [[Rush Hour (board game)|Rush Hour]], [[Mahjong solitaire|Mahjong]], [[Atomix (computer game)|Atomix]], and [[Sokoban]]. Some other generalized games, such as [[chess]], [[English draughts|checkers]] (draughts), and [[Go (board game)|Go]] are [[EXPTIME-complete]] because a game between two perfect players can be very long, so they are unlikely to be in PSPACE. But they will become '''PSPACE'''-complete if a polynomial bound on the number of moves is enforced.
 
Note that the definition of PSPACE-completeness is based on ''asymptotic'' complexity: the time it takes to solve a problem of size ''n'', in the limit as ''n'' grows without bound. That means a game like checkers (which is played on an 8 &times; 8 board) could never be PSPACE-complete (in fact, they can be solved in constant time and space using a very large [[lookup table]]). That is why all the games were modified by playing them on an ''n'' &times; ''n'' board instead; in some cases, such as for Chess, these extensions are somewhat artificial and subjective.
 
See [[Game complexity]] for more games whose completeness for PSPACE or other complexity classes has been determined.
 
==Notes==
{{reflist}}
 
== References ==
*{{citation
| last = Sipser | first = Michael | author-link = Michael Sipser
| contribution = Section 8.3: PSPACE-completeness
| isbn = 0-534-94728-X
| pages = 283–294
| publisher = PWS Publishing
| title = Introduction to the Theory of Computation
| year = 1997}}.
*{{citation
| last1 = Garey | first1 = Michael R. | author1-link = Michael R. Garey
| last2 = Johnson | first2 = David S. | author2-link = David S. Johnson
| contribution = Section 7.4: Polynomial Space Completeness
| isbn = 0-7167-1045-5
| pages = 170–177
  | publisher = W.H. Freeman
| title = [[Computers and Intractability: A Guide to the Theory of NP-Completeness]]
| year = 1979}}.
*{{citation
| last = Hunt | first = H. B., III
| contribution = On the time and tape complexity of languages. I
| mr = 0421145
| pages = 10–19
| publisher = Assoc. Comput. Mach., New York
| title = Fifth Annual ACM Symposium on Theory of Computing (Austin, Tex., 1973)
| url = http://ecommons.cornell.edu/handle/1813/6007
| year = 1973}}.
*{{citation
| last = Kuroda | first = S.-Y. | author-link = S.-Y. Kuroda
| journal = Information and Computation
| mr = 0169724
| pages = 207–223
| title = Classes of languages and linear-bounded automata
| volume = 7
| year = 1964}}.
 
{{ComplexityClasses}}
 
[[Category:Complexity classes]]

Revision as of 17:08, 30 January 2014

In computational complexity theory, a decision problem is PSPACE-complete if it can be solved using an amount of memory that is polynomial in the input length (polynomial space) and if every other problem that can be solved in polynomial space can be transformed to it in polynomial time. The problems that are PSPACE-complete can be thought of as the hardest problems in PSPACE, because a solution to any one such problem could easily be used to solve any other problem in PSPACE.

The PSPACE-complete problems are widely suspected to be outside of the more famous complexity classes P and NP, but that is not known. It is known that they lie outside of the class NC (a class of problems with highly efficient parallel algorithms), because problems in NC can be solved in an amount of space polynomial in the logarithm of the input size, and the class of problems solvable in such a small amount of space is strictly contained in PSPACE by the space hierarchy theorem.

Examples

Below are descriptions of a few PSPACE-complete problems. More examples can be found at the list of PSPACE-complete problems.

Regular expressions

Given a regular expression R, determining whether it generates every string over its alphabet is PSPACE-complete.Template:Sfnp

Context-sensitive grammars

The first known PSPACE-complete problem was the word problem for deterministic context-sensitive grammars. In the word problem for context-sensitive grammars, one is given a set of grammatical transformations which can increase, but cannot decrease, the length of a sentence, and wishes to determine if a given sentence could be produced by these transformations. The technical condition of "determinism" (implying roughly that each transformation makes it obvious that it was used) ensures that this process can be solved in polynomial space, and Template:Harvtxt showed that every (possibly non-deterministic) program computable in linear space could be converted into the parsing of a context-sensitive grammar, in a way which preserves determinism. In 1970, Savitch's theorem showed that PSPACE is closed under nondeterminism, implying that even non-deterministic context-sensitive grammars are in PSPACE.

Quantified Boolean formulas

Nowadays, the archetypal PSPACE-complete problem is generally taken to be the quantified Boolean formula problem (usually abbreviated to QBF or TQBF; the T stands for "true"), a generalization of the first known NP-complete problem, the Boolean satisfiability problem (SAT). The satisfiability problem is the problem of whether there are assignments of truth values to variables that make a Boolean expression true. For example, one instance of SAT would be the question of whether the following is true:

The quantified Boolean formula problem differs in allowing both universal and existential quantification over the values of the variables:

.

The proof that QBF is a PSPACE-complete problem is essentially a restatement of the proof of Savitch's theorem in the language of logic, and is a bit more technical.

Puzzles and games

An NP-complete problem resembles a typical puzzle: is there some way to plug in values that solves the problem? Correspondingly, a PSPACE-complete problem resembles a game: is there some move I can make, such that for all moves my opponent might make, there will then be some move I can make to win? The question alternates existential and universal quantifiers. Not surprisingly, many puzzles turn out to be NP-complete, and many games turn out to be PSPACE-complete.[1]

Examples of games that are PSPACE-complete (when generalized so that they can be played on an n × n board) are the games hex and Reversi and the solitaire games Rush Hour, Mahjong, Atomix, and Sokoban. Some other generalized games, such as chess, checkers (draughts), and Go are EXPTIME-complete because a game between two perfect players can be very long, so they are unlikely to be in PSPACE. But they will become PSPACE-complete if a polynomial bound on the number of moves is enforced.

Note that the definition of PSPACE-completeness is based on asymptotic complexity: the time it takes to solve a problem of size n, in the limit as n grows without bound. That means a game like checkers (which is played on an 8 × 8 board) could never be PSPACE-complete (in fact, they can be solved in constant time and space using a very large lookup table). That is why all the games were modified by playing them on an n × n board instead; in some cases, such as for Chess, these extensions are somewhat artificial and subjective.

See Game complexity for more games whose completeness for PSPACE or other complexity classes has been determined.

Notes

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  1. Many property agents need to declare for the PIC grant in Singapore. However, not all of them know find out how to do the correct process for getting this PIC scheme from the IRAS. There are a number of steps that you need to do before your software can be approved.

    Naturally, you will have to pay a safety deposit and that is usually one month rent for annually of the settlement. That is the place your good religion deposit will likely be taken into account and will kind part or all of your security deposit. Anticipate to have a proportionate amount deducted out of your deposit if something is discovered to be damaged if you move out. It's best to you'll want to test the inventory drawn up by the owner, which can detail all objects in the property and their condition. If you happen to fail to notice any harm not already mentioned within the inventory before transferring in, you danger having to pay for it yourself.

    In case you are in search of an actual estate or Singapore property agent on-line, you simply should belief your intuition. It's because you do not know which agent is nice and which agent will not be. Carry out research on several brokers by looking out the internet. As soon as if you end up positive that a selected agent is dependable and reliable, you can choose to utilize his partnerise in finding you a home in Singapore. Most of the time, a property agent is taken into account to be good if he or she locations the contact data on his website. This may mean that the agent does not mind you calling them and asking them any questions relating to new properties in singapore in Singapore. After chatting with them you too can see them in their office after taking an appointment.

    Have handed an trade examination i.e Widespread Examination for House Brokers (CEHA) or Actual Property Agency (REA) examination, or equal; Exclusive brokers are extra keen to share listing information thus making certain the widest doable coverage inside the real estate community via Multiple Listings and Networking. Accepting a severe provide is simpler since your agent is totally conscious of all advertising activity related with your property. This reduces your having to check with a number of agents for some other offers. Price control is easily achieved. Paint work in good restore-discuss with your Property Marketing consultant if main works are still to be done. Softening in residential property prices proceed, led by 2.8 per cent decline within the index for Remainder of Central Region

    Once you place down the one per cent choice price to carry down a non-public property, it's important to accept its situation as it is whenever you move in – faulty air-con, choked rest room and all. Get round this by asking your agent to incorporate a ultimate inspection clause within the possibility-to-buy letter. HDB flat patrons routinely take pleasure in this security net. "There's a ultimate inspection of the property two days before the completion of all HDB transactions. If the air-con is defective, you can request the seller to repair it," says Kelvin.

    15.6.1 As the agent is an intermediary, generally, as soon as the principal and third party are introduced right into a contractual relationship, the agent drops out of the image, subject to any problems with remuneration or indemnification that he could have against the principal, and extra exceptionally, against the third occasion. Generally, agents are entitled to be indemnified for all liabilities reasonably incurred within the execution of the brokers´ authority.

    To achieve the very best outcomes, you must be always updated on market situations, including past transaction information and reliable projections. You could review and examine comparable homes that are currently available in the market, especially these which have been sold or not bought up to now six months. You'll be able to see a pattern of such report by clicking here It's essential to defend yourself in opposition to unscrupulous patrons. They are often very skilled in using highly unethical and manipulative techniques to try and lure you into a lure. That you must also protect your self, your loved ones, and personal belongings as you'll be serving many strangers in your home. Sign a listing itemizing of all of the objects provided by the proprietor, together with their situation. HSR Prime Recruiter 2010