In Optimal algorithm, it replaces the page that will not be used for the longest period of time. Optimal algorithm has the lowest page-fault rate of all algorithms. 相关知识点: 试题来源: 解析 最优算法替换未来最长时间不被访问的页面,具有最低的缺页率。 最优页面置换算法通过**预知未来的页面...
In previous work, under some assumptions, we specified a replacement rule which minimizes the long-run (expected) average cost per unit time and possesses control limit property. In this paper, a general algorithm for such models is developed....
We show that the discrete Sinkhorn algorithm—as applied in the setting of Optimal Transport on a compact manifold—converges to the solution of
摘要: Page 1. Near-Optimal Hashing Algorithms for Approximate Near(est) Neighbor Problem 24 is42 in reverse… Very fast (bounded) decoder: about 519 operations [Amrani-Beery'94] or cameup with a really neat lattice… – Tight lower bound Non-immediate questions...
A policy-improvement algorithm to derive the optimal policy is presented. We show that under reasonable assumptions, the optimal replacement policies have monotonic properties. In particular, when the failure-rate functions are nonincreasing, or when all the replacement costs and the expected ...
replacement strategyLRUOPT.LRU is the de facto standard page replacement strategy.It is well-known,however,that there are many situations where LRU behaves far from optimal.We present a replacement policy that approximates the optimal algorithm OPT more closely by predicting the time each page will...
However, in NDN itself, there are a lot of caching techniques that are underutilized because of the complexity of the algorithm creation. There are several caching techniques based on a replacement algorithm, including Optimal algorithm, which focuses more on content that will not be used in the...
A method, system and computer program product for cache replacement. The present invention leverages Belady's optimal replacement algorithm by applying it to past cache accesses to inform future cache replacement decisions. The occupied cache capacity of a cache is tracked at every time interval ...
If \beta > 2 then the optimal lower bound is \mathcal {O}(\sqrt{L}\alpha ^{-1/\beta }/\varepsilon ^{1/2-1/\beta }) [53, page 26]. In both cases, we achieve these optimal bounds with our algorithm (provided \beta _* = \beta ; see below) using, for example, Nesterov’...
In particular, the algorithm of Edmonds and Karp [50] has a complexity of at most O(n3logn). This monograph does not focus on computational aspects for optimal transport. This is a fascinating and very active area of contemporary research, and readers are directed to Peyré and Cuturi ...