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co-NP-complete

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43:
is different from co-NP, then all of the co-NP-complete problems are not solvable in polynomial time. If there exists a way to solve a co-NP-complete problem quickly, then that algorithm can be used to solve all co-NP problems quickly.
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formula is a tautology; that is, whether every possible assignment of true/false values to variables yields a true statement. This is closely related to the
39:, in the sense that any problem in co-NP can be reformulated as a special case of any co-NP-complete problem with only polynomial overhead. If 288: 237: 116: 650: 281: 28: 156: 685: 274: 666: 473: 17: 655: 71:. However, it is not known if the sets are equal, although inequality is thought more likely. See 152: 48: 180: 609: 604: 599: 68: 594: 93: 8: 614: 233: 148: 578: 468: 400: 390: 297: 261: 203: 195: 105: 573: 563: 520: 510: 503: 493: 483: 441: 436: 431: 415: 395: 373: 368: 363: 351: 346: 341: 336: 227: 88: 83: 56: 568: 378: 331: 256: 123:, there exists a polynomial time algorithm which can transform any instance of 64: 40: 679: 446: 356: 132: 76: 52: 558: 383: 553: 266: 208: 199: 548: 543: 488: 311: 538: 645: 640: 515: 498: 135:. As a consequence, if we had a polynomial time algorithm for 635: 630: 451: 112: 72: 60: 36: 463: 321: 478: 410: 405: 326: 316: 139:, we could solve all co-NP problems in polynomial time. 86:is co-NP-complete (or even just co-NP-hard), then 677: 119:to it. This means that for every co-NP problem 282: 151:, the problem of determining whether a given 147:One example of a co-NP-complete problem is 35:are those that are the hardest problems in 289: 275: 225: 55:problem. There are some problems in both 221: 219: 207: 178: 14: 678: 296: 216: 270: 163:such assignment, and is NP-complete. 229:Complexity Theory: A Modern Approach 226:Arora, Sanjeev; Barak, Boaz (2009). 99: 82:Fortune showed in 1979 that if any 47:Each co-NP-complete problem is the 24: 159:, which asks whether there exists 117:polynomial-time many-one reducible 31:, computational problems that are 25: 697: 651:Probabilistically checkable proof 249: 115:and if every problem in co-NP is 181:"A Note on Sparse Complete Sets" 232:. Cambridge University Press. 172: 157:Boolean satisfiability problem 111:is co-NP-complete if it is in 63:, for example all problems in 13: 1: 166: 92:, a critical foundation for 7: 10: 702: 667:List of complexity classes 142: 664: 623: 587: 531: 424: 304: 188:SIAM Journal on Computing 656:Interactive proof system 610:Arithmetical hierarchy 605:Grzegorczyk hierarchy 600:Exponential hierarchy 532:Considered infeasible 69:integer factorization 595:Polynomial hierarchy 425:Suspected infeasible 179:Fortune, S. (1979). 127:into an instance of 624:Families of classes 305:Considered feasible 686:Complexity classes 298:Complexity classes 79:for more details. 673: 672: 615:Boolean hierarchy 588:Class hierarchies 239:978-0-521-42426-4 100:Formal definition 94:Mahaney's theorem 29:complexity theory 16:(Redirected from 693: 291: 284: 277: 268: 267: 244: 243: 223: 214: 213: 211: 185: 176: 106:decision problem 91: 21: 701: 700: 696: 695: 694: 692: 691: 690: 676: 675: 674: 669: 660: 619: 583: 527: 521:PSPACE-complete 420: 300: 295: 252: 247: 240: 224: 217: 200:10.1137/0208034 183: 177: 173: 169: 145: 102: 87: 84:sparse language 23: 22: 15: 12: 11: 5: 699: 689: 688: 671: 670: 665: 662: 661: 659: 658: 653: 648: 643: 638: 633: 627: 625: 621: 620: 618: 617: 612: 607: 602: 597: 591: 589: 585: 584: 582: 581: 576: 571: 566: 561: 556: 551: 546: 541: 535: 533: 529: 528: 526: 525: 524: 523: 513: 508: 507: 506: 496: 491: 486: 481: 476: 471: 466: 461: 460: 459: 457:co-NP-complete 454: 449: 444: 434: 428: 426: 422: 421: 419: 418: 413: 408: 403: 398: 393: 388: 387: 386: 376: 371: 366: 361: 360: 359: 349: 344: 339: 334: 329: 324: 319: 314: 308: 306: 302: 301: 294: 293: 286: 279: 271: 265: 264: 257:Complexity Zoo 251: 250:External links 248: 246: 245: 238: 215: 194:(3): 431–433. 170: 168: 165: 144: 141: 131:with the same 101: 98: 33:co-NP-complete 9: 6: 4: 3: 2: 698: 687: 684: 683: 681: 668: 663: 657: 654: 652: 649: 647: 644: 642: 639: 637: 634: 632: 629: 628: 626: 622: 616: 613: 611: 608: 606: 603: 601: 598: 596: 593: 592: 590: 586: 580: 577: 575: 572: 570: 567: 565: 562: 560: 557: 555: 552: 550: 547: 545: 542: 540: 537: 536: 534: 530: 522: 519: 518: 517: 514: 512: 509: 505: 502: 501: 500: 497: 495: 492: 490: 487: 485: 482: 480: 477: 475: 472: 470: 467: 465: 462: 458: 455: 453: 450: 448: 445: 443: 440: 439: 438: 435: 433: 430: 429: 427: 423: 417: 414: 412: 409: 407: 404: 402: 399: 397: 394: 392: 389: 385: 382: 381: 380: 377: 375: 372: 370: 367: 365: 362: 358: 355: 354: 353: 350: 348: 345: 343: 340: 338: 335: 333: 330: 328: 325: 323: 320: 318: 315: 313: 310: 309: 307: 303: 299: 292: 287: 285: 280: 278: 273: 272: 269: 263: 259: 258: 254: 253: 241: 235: 231: 230: 222: 220: 210: 205: 201: 197: 193: 189: 182: 175: 171: 164: 162: 158: 154: 150: 140: 138: 134: 130: 126: 122: 118: 114: 110: 107: 97: 95: 90: 85: 80: 78: 74: 70: 66: 62: 58: 54: 50: 45: 42: 38: 34: 30: 19: 456: 255: 228: 191: 187: 174: 161:at least one 160: 146: 136: 128: 124: 120: 108: 103: 81: 46: 32: 26: 504:#P-complete 442:NP-complete 357:NL-complete 133:truth value 77:NP-complete 53:NP-complete 559:ELEMENTARY 384:P-complete 167:References 49:complement 554:2-EXPTIME 209:1813/7473 149:tautology 18:CoNP-hard 680:Category 549:EXPSPACE 544:NEXPTIME 312:DLOGTIME 539:EXPTIME 447:NP-hard 153:Boolean 143:Example 646:NSPACE 641:DSPACE 516:PSPACE 236:  89:P = NP 51:of an 636:NTIME 631:DTIME 452:co-NP 262:coNPC 184:(PDF) 113:co-NP 73:co-NP 61:co-NP 37:co-NP 464:TFNP 234:ISBN 75:and 59:and 579:ALL 479:QMA 469:FNP 411:APX 406:BQP 401:BPP 391:ZPP 322:ACC 204:hdl 196:doi 67:or 27:In 682:: 574:RE 564:PR 511:IP 499:#P 494:PP 489:⊕P 484:PH 474:AM 437:NP 432:UP 416:FP 396:RP 374:CC 369:SC 364:NC 352:NL 347:FL 342:RL 337:SL 327:TC 317:AC 260:: 218:^ 202:. 190:. 186:. 104:A 96:. 57:NP 569:R 379:P 332:L 290:e 283:t 276:v 242:. 212:. 206:: 198:: 192:8 137:C 129:C 125:L 121:L 109:C 65:P 41:P 20:)

Index

CoNP-hard
complexity theory
co-NP
P
complement
NP-complete
NP
co-NP
P
integer factorization
co-NP
NP-complete
sparse language
P = NP
Mahaney's theorem
decision problem
co-NP
polynomial-time many-one reducible
truth value
tautology
Boolean
Boolean satisfiability problem
"A Note on Sparse Complete Sets"
doi
10.1137/0208034
hdl
1813/7473


Complexity Theory: A Modern Approach

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