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Connected dominating set

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to test whether there exists a connected dominating set with size less than a given threshold, or equivalently to test whether there exists a spanning tree with at least a given number of leaves. Therefore, it is believed that the minimum connected dominating set problem and the maximum leaf spanning
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of these algorithms (intuitively, a number of leaves up to which the problem can be solved within a reasonable amount of time) has gradually increased, as algorithms for the problem have improved, to approximately 37, and it has been suggested that at least 50 should be achievable.
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Ueno, Shuichi; Kajitani, Yoji; Gotoh, Shin'ya (1988), "On the nonseparating independent set problem and feedback set problem for graphs with no vertex degree exceeding three", Proceedings of the First Japan Conference on Graph Theory and Applications (Hakone, 1986),
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Therefore, in any graph, the sum of the connected domination number and the max leaf number equals the total number of vertices. Computationally, this implies that determining the connected domination number is equally difficult as finding the max leaf number.
435:. In this application, a small connected dominating set is used as a backbone for communications, and nodes that are not in this set communicate by passing messages through neighbors that are in the set. 498:
Fellows, Michael; Lokshtanov, Daniel; Misra, Neeldhara; Mnich, Matthias; Rosamond, Frances; Saurabh, Saket (2009), "The complexity ecology of parameters: an illustration using bounded max leaf number",
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Fernau, Henning; Kneis, Joachim; Kratsch, Dieter; Langer, Alexander; Liedloff, Mathieu; Raible, Daniel; Rossmanith, Peter (2011), "An exact algorithm for the maximum leaf spanning tree problem",
751:; McCartin, Catherine; Rosamond, Frances A.; Stege, Ulrike (2000), "Coordinatized kernels and catalytic reductions: an improved FPT algorithm for max leaf spanning tree and other problems", 238: 878: 365:
is not the same as approximating the other to the same ratio. There exists an approximation for the minimum connected dominating set that achieves a factor of
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When viewed in terms of approximation algorithms, connected domination and maximum leaf spanning trees are not the same: approximating one to within a given
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incident to them. A maximum leaf spanning tree is a spanning tree that has the largest possible number of leaves among all spanning trees of
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Galbiati, G.; Maffioli, F.; Morzenti, A. (1994), "A short note on the approximability of the maximum leaves spanning tree problem",
637: 795: 395:, meaning that it can be solved in time exponential in the number of leaves but only polynomial in the input graph size. The 888: 833:
Proceedings of the 3rd International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications
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Wu, J.; Li, H. (1999), "On calculating connected dominating set for efficient routing in ad hoc wireless networks",
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Solis-Oba, Roberto (1998), "2-approximation algorithm for finding a spanning tree with maximum number of leaves",
445:: several NP-hard optimization problems may be solved in polynomial time for graphs of bounded max leaf number. 392: 407:
three, the connected dominating set and its complementary maximum leaf spanning tree problem can be solved in
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Binkele-Raible, Daniel; Fernau, Henning (2014), "A parameterized measure-and-conquer analysis for finding a
412: 206: 432: 404: 362: 854: 590: 516: 369:, where Δ is the maximum degree of a vertex in G. The maximum leaf spanning tree problem is 844: 764: 660: 836: 804: 756: 689: 650: 642: 617: 580: 572: 543: 508: 454: 68: 29: 818: 778: 734: 703: 814: 774: 748: 730: 699: 655: 408: 641:, Lecture Notes in Computer Science, vol. 1461, Springer-Verlag, pp. 441–452, 563:
Guha, S.; Khuller, S. (1998), "Approximation algorithms for connected dominating sets",
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is likely. However, it can be approximated to within a factor of 2 in polynomial time.
95: 872: 809: 755:, Lecture Notes in Comput. Sci., vol. 1974, Springer, Berlin, pp. 240–251, 621: 594: 548: 457:, a vertex that (when it exists) gives a minimum connected dominating set of size one 248: 134: 858: 475:
Sampathkumar, E.; Walikar, HB (1979), "The connected domination number of a graph",
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Douglas, Robert J. (1992), "NP-completeness and degree restricted spanning trees",
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FST-TCS 2000: Foundations of Software Technology and Theoretical Computer Science
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is the number of vertices in the minimum connected dominating set.
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has at least two leaves, vertices that have only one edge of
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The max leaf number has been employed in the development of
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Putting these two inequalities together proves the equality
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Connected dominating sets are useful in the computation of
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is the number of leaves in the maximum leaf spanning tree.
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is a connected dominating set with the smallest possible
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Discrete Mathematics & Theoretical Computer Science
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that are not leaves form a connected dominating set of
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Proc. 6th European Symposium on Algorithms (ESA'98)
247:is a connected dominating set, then there exists a 358:tree problem cannot be solved in polynomial time. 259:: form a spanning tree of the subgraph induced by 255:whose leaves include all vertices that are not in 232: 188:is its max leaf number, then the three quantities 28:are two closely related structures defined on an 411:, by transforming them into an instance of the 721:-leaf spanning tree in an undirected graph", 8: 808: 693: 654: 584: 547: 493: 491: 208: 172:is the connected domination number of an 467: 118:among all connected dominating sets of 879:Computational problems in graph theory 40:A connected dominating set of a graph 60:by a path that stays entirely within 7: 375:polynomial time approximation scheme 233:{\displaystyle \displaystyle n=d+l.} 14: 48:of vertices with two properties: 380:Both problems may be solved, on 108:minimum connected dominating set 656:11858/00-001M-0000-0014-7BD6-0 610:Information Processing Letters 391:. The maximum leaf problem is 86:or is adjacent to a vertex in 1: 810:10.1016/0012-365X(88)90226-9 682:Theoretical Computer Science 622:10.1016/0020-0190(94)90139-2 549:10.1016/0012-365X(92)90130-8 56:can reach any other node in 501:Theory of Computing Systems 296:In the other direction, if 124:connected domination number 905: 26:maximum leaf spanning tree 695:10.1016/j.tcs.2011.07.011 513:10.1007/s00224-009-9167-9 440:fixed-parameter tractable 393:fixed-parameter tractable 200:obey the simple equation 761:10.1007/3-540-44450-5_19 647:10.1007/3-540-68530-8_37 384:-vertex graphs, in time 300:is any spanning tree in 71:a connected subgraph of 22:connected dominating set 373:hard, implying that no 304:, then the vertices of 835:, ACM, pp. 7–14, 433:mobile ad hoc networks 413:matroid parity problem 234: 841:10.1145/313239.313261 403:In graphs of maximum 235: 889:NP-complete problems 796:Discrete Mathematics 536:Discrete Mathematics 207: 749:Fellows, Michael R. 363:approximation ratio 884:Graph connectivity 577:10.1007/PL00009201 477:J. Math. Phys. Sci 367:2 ln Δ + O(1) 312:. This shows that 279:. This shows that 230: 229: 82:either belongs to 770:978-3-540-41413-1 688:(45): 6290–6302, 666:978-3-540-64848-2 271:to a neighbor of 896: 863: 861: 828: 822: 821: 812: 803:(1–3): 355–360, 789: 783: 781: 745: 739: 737: 714: 708: 706: 697: 677: 671: 669: 658: 632: 626: 624: 605: 599: 597: 588: 560: 554: 552: 551: 531: 525: 523: 495: 486: 484: 472: 455:Universal vertex 390: 383: 368: 341: 326: 293: 239: 237: 236: 231: 78:Every vertex in 30:undirected graph 904: 903: 899: 898: 897: 895: 894: 893: 869: 868: 867: 866: 851: 830: 829: 825: 791: 790: 786: 771: 747: 746: 742: 716: 715: 711: 679: 678: 674: 667: 634: 633: 629: 607: 606: 602: 562: 561: 557: 533: 532: 528: 497: 496: 489: 474: 473: 469: 464: 451: 425: 417:linear matroids 409:polynomial time 385: 381: 366: 351: 328: 313: 280: 267:that is not in 205: 204: 166: 164:Complementarity 154:max leaf number 38: 12: 11: 5: 902: 900: 892: 891: 886: 881: 871: 870: 865: 864: 849: 823: 784: 769: 740: 729:(1): 179–200, 709: 672: 665: 627: 600: 571:(4): 374–387, 555: 542:(1–3): 41–47, 526: 507:(4): 822–848, 487: 466: 465: 463: 460: 459: 458: 450: 447: 424: 421: 350: 347: 241: 240: 228: 225: 222: 219: 216: 213: 176:-vertex graph 165: 162: 104: 103: 96:dominating set 76: 37: 34: 13: 10: 9: 6: 4: 3: 2: 901: 890: 887: 885: 882: 880: 877: 876: 874: 860: 856: 852: 850:1-58113-174-7 846: 842: 838: 834: 827: 824: 820: 816: 811: 806: 802: 798: 797: 788: 785: 780: 776: 772: 766: 762: 758: 754: 750: 744: 741: 736: 732: 728: 724: 720: 713: 710: 705: 701: 696: 691: 687: 683: 676: 673: 668: 662: 657: 652: 648: 644: 640: 639: 631: 628: 623: 619: 615: 611: 604: 601: 596: 592: 587: 582: 578: 574: 570: 566: 559: 556: 550: 545: 541: 537: 530: 527: 522: 518: 514: 510: 506: 502: 494: 492: 488: 482: 478: 471: 468: 461: 456: 453: 452: 448: 446: 444: 441: 436: 434: 430: 422: 420: 418: 414: 410: 406: 401: 398: 394: 388: 378: 376: 372: 364: 359: 356: 348: 346: 342: 339: 335: 331: 324: 320: 316: 311: 307: 303: 299: 294: 291: 287: 283: 278: 274: 270: 266: 262: 258: 254: 250: 249:spanning tree 246: 226: 223: 220: 217: 214: 211: 203: 202: 201: 199: 195: 191: 187: 183: 179: 175: 171: 163: 161: 159: 155: 151: 147: 143: 139: 136: 135:spanning tree 131: 129: 125: 121: 117: 113: 109: 101: 97: 93: 89: 85: 81: 77: 74: 70: 67: 63: 59: 55: 51: 50: 49: 47: 43: 35: 33: 31: 27: 23: 19: 832: 826: 800: 794: 787: 752: 743: 726: 722: 718: 712: 685: 681: 675: 636: 630: 616:(1): 45–49, 613: 609: 603: 568: 565:Algorithmica 564: 558: 539: 535: 529: 504: 500: 483:(6): 607–613 480: 476: 470: 437: 426: 423:Applications 402: 386: 379: 360: 352: 343: 337: 333: 329: 322: 318: 314: 309: 305: 301: 297: 295: 289: 285: 281: 276: 272: 268: 264: 260: 256: 252: 244: 242: 197: 193: 189: 185: 181: 177: 173: 169: 167: 157: 153: 149: 145: 141: 137: 132: 127: 123: 119: 111: 107: 105: 99: 91: 87: 83: 79: 72: 65: 61: 57: 53: 52:Any node in 45: 41: 39: 25: 21: 18:graph theory 15: 355:NP-complete 140:of a graph 116:cardinality 110:of a graph 90:. That is, 64:. That is, 36:Definitions 873:Categories 462:References 443:algorithms 397:klam value 349:Algorithms 595:263230631 44:is a set 859:59969437 586:1903/830 449:See also 317:− 288:− 182:n > 2 180:, where 819:0975556 779:1850108 735:3188035 704:2883043 521:4053586 429:routing 371:MAX-SNP 69:induces 857:  847:  817:  777:  767:  733:  702:  663:  593:  519:  405:degree 353:It is 196:, and 184:, and 152:. The 122:. The 24:and a 855:S2CID 591:S2CID 517:S2CID 389:(1.9) 94:is a 845:ISBN 765:ISBN 661:ISBN 431:for 415:for 133:Any 20:, a 837:doi 805:doi 757:doi 690:doi 686:412 651:hdl 643:doi 618:doi 581:hdl 573:doi 544:doi 540:105 509:doi 275:in 251:in 243:If 168:If 156:of 126:of 98:of 16:In 875:: 853:, 843:, 815:MR 813:, 801:72 799:, 775:MR 773:, 763:, 731:MR 727:16 725:, 700:MR 698:, 684:, 659:, 649:, 614:52 612:, 589:, 579:, 569:20 567:, 538:, 515:, 505:45 503:, 490:^ 481:13 479:, 419:. 336:+ 332:= 321:≥ 284:≥ 192:, 106:A 32:. 862:. 839:: 807:: 782:. 759:: 738:. 719:k 707:. 692:: 670:. 653:: 645:: 625:. 620:: 598:. 583:: 575:: 553:. 546:: 524:. 511:: 485:. 387:O 382:n 340:. 338:l 334:d 330:n 325:. 323:d 319:l 315:n 310:G 306:T 302:G 298:T 292:. 290:d 286:n 282:l 277:D 273:v 269:D 265:v 261:D 257:D 253:G 245:D 227:. 224:l 221:+ 218:d 215:= 212:n 198:n 194:l 190:d 186:l 178:G 174:n 170:d 158:G 150:G 146:T 142:G 138:T 128:G 120:G 112:G 102:. 100:G 92:D 88:D 84:D 80:G 75:. 73:G 66:D 62:D 58:D 54:D 46:D 42:G

Index

graph theory
undirected graph
induces
dominating set
cardinality
spanning tree
spanning tree
NP-complete
approximation ratio
MAX-SNP
polynomial time approximation scheme
fixed-parameter tractable
klam value
degree
polynomial time
matroid parity problem
linear matroids
routing
mobile ad hoc networks
fixed-parameter tractable
algorithms
Universal vertex


doi
10.1007/s00224-009-9167-9
S2CID
4053586
doi
10.1016/0012-365X(92)90130-8

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