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Disperser

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A disperser is a high-speed mixing device used to disperse or dissolve pigments and other solids into a liquid.
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and the extracted distribution, only the latter is required for a disperser. So for a disperser, an event
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is a related type of graph that guarantees an even stronger property; every
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vertices on the left side is connected to more than (1 − 
488:{\displaystyle Dis:\{0,1\}^{n}\times \{0,1\}^{d}\rightarrow \{0,1\}^{m}} 747: 158: 56: 15: 856:"Recent developments in explicit constructions of extractors" 240:. Where an extractor requires that every event gets the same 905: 179: 662: 612: 568: 527: 505: 400: 364: 299: 254: 174:
may be too technical for most readers to understand
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Unsourced material may be challenged and removed. 690: 646: 596: 552: 511: 487: 382: 343: 285: 925: 8: 746:vertices on the right side, such that every 738:vertices on the left side, each with degree 541: 528: 476: 463: 451: 438: 426: 413: 274: 261: 50:Learn how and when to remove these messages 932: 918: 682: 661: 635: 611: 573: 567: 544: 526: 504: 479: 454: 429: 399: 363: 344:{\displaystyle Pr_{U_{m}}>1-\epsilon } 312: 307: 298: 277: 253: 220:Learn how and when to remove this message 202:Learn how and when to remove this message 186:, without removing the technical details. 147:Learn how and when to remove this message 846: 286:{\displaystyle A\subseteq \{0,1\}^{m}} 184:make it understandable to non-experts 7: 886: 884: 597:{\displaystyle H_{\infty }(X)\geq k} 85:adding citations to reliable sources 691:{\displaystyle (1-\epsilon )2^{m}} 574: 14: 31:This article has multiple issues. 888: 498:such that for every distribution 163: 61: 20: 605:the support of the distribution 72:needs additional citations for 39:or discuss these issues on the 675: 663: 641: 622: 585: 579: 460: 377: 365: 326: 320: 1: 383:{\displaystyle (k,\epsilon )} 904:. You can help Knowledge by 647:{\displaystyle Dis(X,U_{d})} 553:{\displaystyle \{0,1\}^{n}} 972: 883: 854:Shaltiel, Ronen (2002). 391:-disperser is a function 762:vertices on the right. 354:Definition (Disperser): 900:-related article is a 692: 648: 598: 554: 513: 489: 384: 345: 287: 860:Bulletin of the EATCS 693: 649: 599: 555: 514: 490: 385: 346: 288: 660: 610: 566: 525: 503: 398: 362: 297: 252: 246:uniform distribution 81:improve this article 956:Combinatorics stubs 655:is of size at least 688: 644: 594: 550: 509: 485: 380: 341: 283: 913: 912: 512:{\displaystyle X} 230: 229: 222: 212: 211: 204: 157: 156: 149: 131: 54: 963: 934: 927: 920: 892: 885: 875: 874: 872: 871: 851: 697: 695: 694: 689: 687: 686: 653: 651: 650: 645: 640: 639: 603: 601: 600: 595: 578: 577: 559: 557: 556: 551: 549: 548: 518: 516: 515: 510: 494: 492: 491: 486: 484: 483: 459: 458: 434: 433: 389: 387: 386: 381: 350: 348: 347: 342: 319: 318: 317: 316: 292: 290: 289: 284: 282: 281: 225: 218: 207: 200: 196: 193: 187: 167: 166: 159: 152: 145: 141: 138: 132: 130: 89: 65: 57: 46: 24: 23: 16: 971: 970: 966: 965: 964: 962: 961: 960: 941: 940: 939: 938: 881: 879: 878: 869: 867: 853: 852: 848: 843: 831: 823: 732:bipartite graph 704: 678: 658: 657: 631: 608: 607: 569: 564: 563: 540: 523: 522: 501: 500: 475: 450: 425: 396: 395: 360: 359: 308: 303: 295: 294: 273: 250: 249: 236:is a one-sided 226: 215: 214: 213: 208: 197: 191: 188: 180:help improve it 177: 168: 164: 153: 142: 136: 133: 90: 88: 78: 66: 25: 21: 12: 11: 5: 969: 967: 959: 958: 953: 951:Graph families 943: 942: 937: 936: 929: 922: 914: 911: 910: 893: 877: 876: 845: 844: 842: 839: 838: 837: 835:Expander graph 830: 827: 822: 821:Other meanings 819: 703: 700: 685: 681: 677: 674: 671: 668: 665: 643: 638: 634: 630: 627: 624: 621: 618: 615: 593: 590: 587: 584: 581: 576: 572: 547: 543: 539: 536: 533: 530: 508: 482: 478: 474: 471: 468: 465: 462: 457: 453: 449: 446: 443: 440: 437: 432: 428: 424: 421: 418: 415: 412: 409: 406: 403: 379: 376: 373: 370: 367: 340: 337: 334: 331: 328: 325: 322: 315: 311: 306: 302: 280: 276: 272: 269: 266: 263: 260: 257: 228: 227: 210: 209: 171: 169: 162: 155: 154: 69: 67: 60: 55: 29: 28: 26: 19: 13: 10: 9: 6: 4: 3: 2: 968: 957: 954: 952: 949: 948: 946: 935: 930: 928: 923: 921: 916: 915: 909: 907: 903: 899: 898:combinatorics 894: 891: 887: 882: 865: 861: 857: 850: 847: 840: 836: 833: 832: 828: 826: 820: 818: 816: 814: 810: 806: 802: 798: 792: 790: 786: 782: 778: 774: 768: 763: 761: 757: 753: 749: 745: 741: 737: 733: 729: 727: 723: 719: 715: 711: 701: 699: 683: 679: 672: 669: 666: 656: 636: 632: 628: 625: 619: 616: 613: 606: 591: 588: 582: 570: 562: 545: 537: 534: 531: 521: 506: 499: 495: 480: 472: 469: 466: 455: 447: 444: 441: 435: 430: 422: 419: 416: 410: 407: 404: 401: 393: 392: 374: 371: 368: 358: 355: 351: 338: 335: 332: 329: 323: 313: 309: 304: 300: 278: 270: 267: 264: 258: 255: 247: 243: 239: 235: 224: 221: 206: 203: 195: 185: 181: 175: 172:This article 170: 161: 160: 151: 148: 140: 129: 126: 122: 119: 115: 112: 108: 105: 101: 98: –  97: 93: 92:Find sources: 86: 82: 76: 75: 70:This article 68: 64: 59: 58: 53: 51: 44: 43: 38: 37: 32: 27: 18: 17: 906:expanding it 895: 880: 868:. Retrieved 863: 859: 849: 824: 812: 808: 804: 800: 796: 794: 788: 784: 780: 776: 772: 770: 764: 759: 755: 751: 743: 739: 735: 725: 721: 717: 713: 709: 707: 705: 702:Graph theory 654: 604: 560: 519: 497: 496: 394: 390: 356: 353: 352: 233: 231: 216: 198: 192:January 2014 189: 173: 143: 134: 124: 117: 110: 103: 91: 79:Please help 74:verification 71: 47: 40: 34: 33:Please help 30: 815:)-disperser 793:is also an 791:)-extractor 728:)-disperser 242:probability 137:August 2012 96:"Disperser" 945:Categories 870:2018-04-10 841:References 244:under the 107:newspapers 36:improve it 767:extractor 673:ϵ 670:− 589:≥ 575:∞ 461:→ 436:× 375:ϵ 339:ϵ 336:− 293:we have: 259:⊆ 238:extractor 234:disperser 42:talk page 829:See also 866:: 67–95 178:Please 121:scholar 748:subset 742:, and 123:  116:  109:  102:  94:  896:This 734:with 730:is a 128:JSTOR 114:books 902:stub 561:with 330:> 100:news 765:An 750:of 706:An 182:to 83:by 947:: 864:77 862:. 858:. 817:. 811:, 807:, 803:, 799:, 787:, 783:, 779:, 775:, 724:, 720:, 716:, 712:, 698:. 520:on 232:A 45:. 933:e 926:t 919:v 908:. 873:. 813:e 809:K 805:D 801:M 797:N 795:( 789:e 785:K 781:D 777:M 773:N 771:( 760:M 758:) 756:e 752:K 744:M 740:D 736:N 726:e 722:K 718:D 714:M 710:N 708:( 684:m 680:2 676:) 667:1 664:( 642:) 637:d 633:U 629:, 626:X 623:( 620:s 617:i 614:D 592:k 586:) 583:X 580:( 571:H 546:n 542:} 538:1 535:, 532:0 529:{ 507:X 481:m 477:} 473:1 470:, 467:0 464:{ 456:d 452:} 448:1 445:, 442:0 439:{ 431:n 427:} 423:1 420:, 417:0 414:{ 411:: 408:s 405:i 402:D 378:) 372:, 369:k 366:( 357:A 333:1 327:] 324:A 321:[ 314:m 310:U 305:r 301:P 279:m 275:} 271:1 268:, 265:0 262:{ 256:A 223:) 217:( 205:) 199:( 194:) 190:( 176:. 150:) 144:( 139:) 135:( 125:· 118:· 111:· 104:· 77:. 52:) 48:(

Index

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talk page
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verification
improve this article
adding citations to reliable sources
"Disperser"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
help improve it
make it understandable to non-experts
Learn how and when to remove this message
Learn how and when to remove this message
extractor
probability
uniform distribution
bipartite graph
subset
extractor
Expander graph
"Recent developments in explicit constructions of extractors"
Stub icon
combinatorics
stub
expanding it

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