You are given an array in which each number from 1 to N appears precisely once, with the exception of one missing number. In O(N) time, how can you locate the missing number? There are steps in hill-climbing algorithms that make a lot of progress and steps that make very little progress. For example, the first iteration on the input in Figure 15.2 may uncover a path across the augmentation graph that can be used to add a flow of 30. It may, however, discover a way via which only a flow of two may be added. How long would the calculation take if it is unfortunate enough to always take the worst allowable step permitted by the algorithm?Start by taking the step that increases the flow by 2 for the input . Then continue to take the worst possible step. You could draw out each and every step, but it is better to use this opportunity to use loop invariants. What does the flow look like after i iterations? Repeat this process on the same graph except that the four edges forming the square now have capacities 1,000,000,000,000,000 and the crossover edge has capacity 1. (Also move t to c or give that last edge a large capacity.) 1. What is the worst case number of iterations of this network flow algorithm as a function of the number of edges m in the input network? 2. What is the official “size” of a network? 3. What is the worst case number of iterations of this network flow algorithm as a function of the size of the input network? 0( 1) space? What if there were two numbers missing?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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You are given an array in which each number from 1 to N appears precisely once, with the exception of one missing number. In O(N) time, how can you locate the missing number? There are steps in hill-climbing algorithms that make a lot of progress and steps that make very little progress. For example, the first iteration on the input in Figure 15.2 may uncover a path across the augmentation graph that can be used to add a flow of 30. It may, however, discover a way via which only a flow of two may be added. How long would the calculation take if it is unfortunate enough to always take the worst allowable step permitted by the algorithm?Start by taking the step that increases the flow by 2 for the input . Then continue to take the worst possible step. You could draw out each and every step, but it is better to use this opportunity to use loop invariants. What does the flow look like after i iterations? Repeat this process on the same graph except that the four edges forming the square now have capacities 1,000,000,000,000,000 and the crossover edge has capacity 1. (Also move t to c or give that last edge a large capacity.)
1. What is the worst case number of iterations of this network flow algorithm as a
function of the number of edges m in the input network?
2. What is the official “size” of a network?
3. What is the worst case number of iterations of this network flow algorithm as a
function of the size of the input network?
0( 1) space? What if there were two numbers missing?

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