首页> 外文会议>SOFSEM 2011: Theory and practice of computer science >Randomized OBDDs for the Most Significant Bit of Multiplication Need Exponential Size
【24h】

Randomized OBDDs for the Most Significant Bit of Multiplication Need Exponential Size

机译:乘法的最高有效位的随机OBDD需要指数大小

获取原文
获取原文并翻译 | 示例

摘要

Integer multiplication as one of the basic arithmetic functions has been in the focus of several complexity theoretical investigations and ordered binary decision diagrams (OBDDs) are one of the most common dynamic data structures for Boolean functions. Only two years ago, the question whether the deterministic OBDD complexity of the most significant bit of integer multiplication is exponential has been answered affirmatively. Since probabilistic methods have turned out to be useful in almost all areas of computer science, one may ask whether randomization can help to represent the most significant bit of integer multiplication in smaller size. Here, it is proved that the randomized OBDD complexity is also exponential.
机译:作为基本算术功能之一的整数乘法已成为一些复杂性理论研究的重点,而有序二进制决策图(OBDD)是布尔函数最常见的动态数据结构之一。仅两年前,关于整数乘法的最高有效位的确定性OBDD复杂度是否为指数的问题得到了肯定的回答。由于事实证明概率方法在计算机科学的几乎所有领域都是有用的,因此人们可能会问,随机化是否可以帮助以较小的尺寸表示整数乘法的最高有效位。在这里,证明了随机化的OBDD复杂度也是指数的。

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