首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Polynomial Time Samplable Distributions
Authors:Tomoyuki Yamakami
Institution:Department of Computer Science, University of Toronto, Toronto, Canada, M5S 3G4f1
Abstract:This paper studies the complexity of the polynomial-time samplable (P-samplable) distributions, which can be approximated within an exponentially small factor by sampling algorithms in time polynomial in the length of their outputs. The paper shows that common assumptions in complexity theory yield the separation of polynomial-time samplable distributions from the polynomial-time computable distributions with respect to polynomial domination, average-polynomial domination, polynomial equivalence, and average-polynomial equivalence.
Keywords:average-case complexity  sampling algorithm  domination condition  strong one-way functions
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号