tailieunhanh - Lecture Algorithm design - Chapter 13: Randomized Algorithms

Lecture Algorithm design - Chapter 13: Randomized Algorithms includes contents: Contention resolution, global min cut, linearity of expectation, max 3-satisfiability, universal hashing, Chernoff bounds, load balancing. | Lecture slides by Kevin Wayne Copyright 2005 Pearson-Addison Wesley http wayne kleinberg-tardos 13. Randomized Algorithms contention resolution global min cut linearity of expectation max 3-satisfiabiliy universal hashing Chernoff bounds load balancing Last updated on 10 14 15 5 33 PM Randomization Algorithmic design patterns. Greedy. Divide-and-conquer. Dynamic Programming. Network flow. Randomization. in practice access to a pseudo-random number generator Randomization. Allow fair coin flip in unit time. Why randomize Can lead to simplest fastest or only known algorithm for a particular problem. Ex. Symmetry breaking protocols graph algorithms quicksort hashing load balancing Monte Carlo integration cryptography. 2 13. Randomized Algorithms contention .

crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.