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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 (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…
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problem polynomial problems games quantified space solved displaystyle input pspace time one known context-sensitive boolean puzzles reconfiguration pspace-completeness formula using
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| chess on a conventional 8 | instance of | Puzzles or games with a bounded number of positions | 0.80 | text |
| PSPACE-complete | related to Formal languages | Given | 0.60 | section |
| PSPACE-complete | related to Formal languages | The | 0.60 | section |
| PSPACE-complete | related to Formal languages | Turing | 0.60 | section |
| PSPACE-complete | related to Formal languages | In | 0.60 | section |
| PSPACE-complete | related to Formal languages | Kuroda | 0.60 | section |
| PSPACE-complete | related to Formal languages | Savitch's | 0.60 | section |
| PSPACE-complete | related to Formal languages | PSPACE | 0.60 | section |
| PSPACE-complete | related to Further reading | Sipser | 0.60 | section |
| PSPACE-complete | related to Further reading | Michael | 0.60 | section |
| PSPACE-complete | related to Further reading | Section | 0.60 | section |
| PSPACE-complete | related to Further reading | PSPACE-completeness | 0.60 | section |
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