Algorithms 3927 Assignment 2 The University of Sydney 2019 Semester 1 School of Computer Science This assignment is for COMP3927 students only. Description Suppose we are running a bed manufacturing company. There are several different types of bed of various dimensions (length and width) that we can produce. To decide which beds we should produce, […]
Lecture 8 – Flow networks I The University of Sydney Page 1 General techniques in this course – Greedy algorithms [Lecture 3] – Divide & Conquer algorithms [Lectures 4 and 5] – Dynamic programming algorithms [Lectures 6 and 7] – Network flow algorithms [today and 2 May] – Theory [today] – Applications [2 May] –
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COMP3027/COMP3927 Tutorial questions The University of Sydney 2019 Semester 1 Tutorial 7 School of Computer Science Pre-tutorial questions Do you know the basic concepts of this week’s lecture content? These questions are only to test yourself. They will not be explicitly discussed in the tutorial, and no solutions will be given to them. 1. Dynamic
Lecture 9 (cont.) – Flow networks II: Applications The University of Sydney Page 1 Reduction to Max Flows Max Flow Problem Problem A Max Flow Algorithm Solution A The University of Sydney Page 2 Max Flow Solution 7.7 Extensions to Max Flow The University of Sydney Page 3 Circulation with supply and demand Circulation with
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COMP3027/COMP3927 Tutorial questions The University of Sydney 2019 Semester 1 Tutorial 11 School of Computer Science Pre-tutorial questions Do you know the basic concepts of this week’s lecture content? These questions are only to test yourself. They will not be explicitly discussed in the tutorial, and no solutions will be given to them. 1. Reduction.
Lecture 11 cont’d: NP and Computational Intractability The University of Sydney Page 1 Definition of the class NP Class NP: Decision problems for which YES-instances have a poly-time certifier. Certification algorithm intuition. – Certifier views things from “managerial” viewpoint. – Certifier does not solve the problem by its own; rather, it checks if a proposed
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Generating RandomFactoredNumbers,Easily Adam Kalai* Our goal is to generate a random “pre-factored” number, that is a uniformly random number between 1 and N, along with its prime factorization. Of course, one could simply pick a random number and then p < N and generating the factored number r = [I pap try to factor it,
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COMP3027/COMP3927 Tutorial questions The University of Sydney 2020 Semester 1 Tutorial 9 School of Computer Science Pre-tutorial questions Do you know the basic concepts of this week’s lecture content? These questions are only to test yourself. They will not be explicitly discussed in the tutorial, and no solutions will be given to them. 1. Reduction.
SIAM J. COMPUT. (C) 1988 Society for Industrial and Applied Mathematics Vol. 17, No. 2, April 1988 HOW TO GENERATE FACTORED RANDOM NUMBERS* ERIC BACH? 001 Abstract. This paper presents an efficient method for generating a random integer with known factoriz- ation. When given a positive integer N, the algorithm produces the prime factorization of