首页> 外文会议>Annual symposium on theoretical aspects of computer science >New Bounds on the OBDD-Size of Integer Multiplication via Universal Hashing
【24h】

New Bounds on the OBDD-Size of Integer Multiplication via Universal Hashing

机译:通过通用散列对OBDD乘法乘法的新界限

获取原文

摘要

Ordered binary decision diagrams (OBDDs) nowadays belong to the most common representation types for Boolean functions. Although they allow important operations such as satisfiability test and equality test to be performed efficiently, their limitation lies in the fact that they may require exponential size for important functions. Bryant [8] has shown that any OBDD-representation of the function MUL{sub}(n-1,n), which computes the middle bit of the product of two n-bit numbers, requires at least 2{sup}(n/8) nodes. In this paper a stronger bound of 2{sup}(n/2) / 61 is proven by a new technique, using a recently found universal family of hash functions [23]. As a result, one cannot hope anymore to find reasonable small OBDDs even for the multiplication of relatively short integers, since for only a 64-bit multiplication millions of nodes are required. Further, a first non-trivial upper bound of 7/3·2{sup}(4n/3) for the OBDD size of MUL{sub}(n-1,n) is provided.
机译:现在订购的二进制决策图(OBDD)属于布尔函数的最常见的表示类型。虽然它们允许有效地执行诸如可满足性测试和平等测试的重要操作,但它们的限制在于它们可能需要指数尺寸的重要功能。 Bryant [8]表明,函数MUL {sub}(n-1,n)的任何OBDD表示,它计算两个n位数的乘积的中间位,需要至少2 {sup}(n / 8)节点。在本文中,使用最近发现的通用哈希职能族的新技术证明了2 {sup}(n / 2)/ 61的更强的界限[23]。结果,即使对于相对短的整数的乘法,也不能再希望找到合理的小型OBDD,因为仅需要64位乘以数百万节点。此外,提供了用于MUL {Sub}(N-1,N)的OBDD尺寸的7/3·2 {sup}(4n / 3)的第一个非平凡上限。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号