Which one out of the six cannot be solve using dynamic programming Consider these six problems.A. Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods tomaximize your profitB. Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods tominimize your profitC. Given a graph, determine the shortest path from the start vertex to the end vertex withoutrepeating any edgesD. Given a graph, determine the longest path from the start vertex to the end vertex withoutrepeating any edgesE. Given a sequence of integers, determine the longest increasing subsequence of that sequenceF. Given a sequence of integers, determine the longest decreasing subsequence of that sequenceFive of these six problems have elegant and efficient solutions using Dynamic Programming, butone of these problems does not.

Answered: Consider these six problems. A. Given a…

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

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Which one out of the six cannot be solve using dynamic programming

Consider these six problems.
A. Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods to
maximize your profit
B. Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods to
minimize your profit
C. Given a graph, determine the shortest path from the start vertex to the end vertex without
repeating any edges
D. Given a graph, determine the longest path from the start vertex to the end vertex without
repeating any edges
E. Given a sequence of integers, determine the longest increasing subsequence of that sequence
F. Given a sequence of integers, determine the longest decreasing subsequence of that sequence
Five of these six problems have elegant and efficient solutions using Dynamic Programming, but
one of these problems does not.

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Dynamic Programming (DP) is an algorithmic technique for solving an optimization problem by breaking it down into simpler subproblems and utilizing the fact that the optimal solution to the overall problem depends upon the optimal solution to its subproblems.

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