- derandomization
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The reduction or removal of randomness.See Also: derandomize, derandomized
Wikipedia foundation.
Wikipedia foundation.
Color-coding — For other uses, see Color code. In computer science and graph theory, the method of color coding[1][2] efficiently finds k vertex simple paths, k vertex cycles, and other small subgraphs within a given graph using probabilistic algorithms, which… … Wikipedia
Randomized algorithm — Part of a series on Probabilistic data structures Bloom filter · Skip list … Wikipedia
RL (complexity) — In computational complexity theory, RL (Randomized Logarithmic space),[1] sometimes called RLP (Randomized Logarithmic space Polynomial time),[2] is the complexity class of problems solvable in logarithmic space and polynomial time with… … Wikipedia
Pseudorandom generator — In theoretical computer science, a pseudorandom generator is a deterministic method of generating a large amount of pseudorandom, or apparently random, data, from a small amount of initial random data. The initial data is commonly known as a… … Wikipedia
BPP — In complexity theory, BPP is the class of decision problems solvable by a probabilistic Turing machine in polynomial time, with an error probability of at most 1/3 for all instances. The abbreviation BPP refers to Bounded error, Probabilistic,… … Wikipedia
Expander graph — In combinatorics, an expander graph is a sparse graph which has high connectivity properties, quantified using vertex or edge expansion as described below. Expander constructions have spawned research in pure and applied mathematics, with several … Wikipedia
Skip list — Invented in 1990 by William Pugh, a skip list is a probabilistic data structure, based on multiple parallel, sorted linked lists, with efficiency comparable to a binary search tree (order log n average time for most operations).Underlying the… … Wikipedia
Russell Impagliazzo — is a professor of computer science at the University of California, San Diego. He received his doctorate from the University of California, Berkeley. His advisor was Manuel Blum. He spent two years as a postdoc at the University of Toronto. He is … Wikipedia
Expander walk sampling — The expander walk sampling theorem, the earliest version of which is due to Ajtai Komlós Szemerédi and the more general version typically attributed to Gillman, states that sampling from an expander graph is almost as good as sampling… … Wikipedia
Circuit complexity — In theoretical computer science, circuit complexity is a branch of computational complexity theory in which Boolean functions are classified according to the size or depth of Boolean circuits that compute them. A Boolean circuit with n input bits … Wikipedia