A new algorithm for generation of exactly m-block set partitions in associative model

被引:0
|
作者
Kokosinski, Zbigniew [1 ]
机构
[1] Krakow Tech Univ, Fac Elect & Comp Engn, PL-31155 Krakow, Poland
关键词
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper a new parallel algorithm is presented for generation of all exactly m-block partitions of n-element set. The basic building blocks of the algorithm are an associative generator of combinations and a complex parallel counter. Consecutive objects are generated in lexicographic order, with 0(l) time per object. The algorithm can be used for generation of all partitions within the given range of the parameter m, where 1 <= m(1) <= m <= m(2) <= n.
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页码:67 / 74
页数:8
相关论文
共 36 条
  • [1] On parallel generation of set partitions in associative: Processor architectures
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    [J]. INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS I-V, PROCEEDINGS, 1999, : 1257 - 1262
  • [2] A Simulation Study on Block Generation Algorithm Based on TPS Model
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    [J]. MODERN ADVANCES IN APPLIED INTELLIGENCE, IEA/AIE 2014, PT I, 2014, 8481 : 369 - 378
  • [4] A new rough set based classification rule generation algorithm (RGI)
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    [J]. 2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), VOL 1, 2014, : 380 - 385
  • [5] An efficient algorithm for communication set generation of data parallel programs with block-cyclic distribution
    Hwang, GH
    [J]. PARALLEL COMPUTING, 2004, 30 (04) : 473 - 501
  • [6] Automatic test set generation for function block based systems using model checking
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    [J]. 2014 9TH INTERNATIONAL CONFERENCE ON THE QUALITY OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (QUATIC), 2014, : 216 - 225
  • [7] NEW ALGORITHM FOR THE GENERATION OF HIGH SPEED M-SEQUENCES.
    [J]. Proceedings of the IREE Australia (Institution of Radio and Electronics Engineers), 1974, 35 (10): : 307 - 309
  • [8] A NEW ALGORITHM FOR THE GENERATION OF k-AKY M SEQUENCES
    朱士信
    [J]. Journal of Electronics(China), 1994, (01) : 93 - 96
  • [9] A new detector set generating algorithm in the negative selection model
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    Li, YY
    [J]. ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS, 2005, 3611 : 774 - 779
  • [10] New approach for frequent item set generation based on Mirabit hashing algorithm
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    [J]. 2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 3, 2015, : 590 - 595