| 000 | 02465nam a22003858i 4500 | ||
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| 001 | CR9780511761355 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160302.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 100506s2010||||enk o ||1 0|eng|d | ||
| 020 | _a9780511761355 (ebook) | ||
| 020 | _z9780521192484 (hardback) | ||
| 020 | _z9780521122542 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aQA267.7 _b.G652 2010 |
| 082 | 0 | 0 |
_a005.1 _222 |
| 100 | 1 |
_aGoldreich, Oded, _eauthor. |
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| 245 | 1 | 0 |
_aP, NP, and NP-completeness : _bthe basics of computational complexity / _cOded Goldreich. |
| 246 | 3 | _aP, NP, & NP-Completeness | |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2010. |
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| 300 |
_a1 online resource (xxix, 184 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 8 | _aMachine generated contents note: 1. Computational tasks and models; 2. The P versus NP Question; 3. Polynomial-time reductions; 4. NP-completeness; 5. Three relatively advanced topics; Epilogue: a brief overview of complexity theory. | |
| 520 | _aThe focus of this book is the P versus NP Question and the theory of NP-completeness. It also provides adequate preliminaries regarding computational problems and computational models. The P versus NP Question asks whether or not finding solutions is harder than checking the correctness of solutions. An alternative formulation asks whether or not discovering proofs is harder than verifying their correctness. It is widely believed that the answer to these equivalent formulations is positive, and this is captured by saying that P is different from NP. Although the P versus NP Question remains unresolved, the theory of NP-completeness offers evidence for the intractability of specific problems in NP by showing that they are universal for the entire class. Amazingly enough, NP-complete problems exist, and furthermore hundreds of natural computational problems arising in many different areas of mathematics and science are NP-complete. | ||
| 650 | 0 | _aComputational complexity. | |
| 650 | 0 | _aComputer algorithms. | |
| 650 | 0 | _aApproximation theory. | |
| 650 | 0 | _aPolynomials. | |
| 776 | 0 | 8 |
_iPrint version: _z9780521192484 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511761355 |
| 999 |
_c520452 _d520450 |
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