Design data structures: present five data structures including B-tree for big data (you find data), for sorting algorithms. In this project, you will implement and analyze the following. Median finding, Order Statistics, and Quick Sort: In this project, you will implement the median-finding algorithms. The user should be able to select the "k", i.e., the rank of the number desired as output (k = n/2 is the median). You should also be able to select groups of 3, 5, 7, etc. in the linear-time median finding algorithm and be able to compare the performance of each. Also, implement the randomized median finding algorithm and compare it against the linear-time one. Implement quick sorting using both algorithms and compare the performances of these different versions.

Design data structures: present five data structures including B-tree for big data (you find data), for sorting algorithms. In this project, you will implement and analyze the following. Median finding, Order Statistics, and Quick Sort: In this project, you will implement the median-finding algorithms. The user should be able to select the "k", i.e., the rank of the number desired as output (k = n/2 is the median). You should also be able to select groups of 3, 5, 7, etc. in the linear-time median finding algorithm and be able to compare the performance of each. Also, implement the randomized median finding algorithm and compare it against the linear-time one. Implement quick sorting using both algorithms and compare the performances of these different versions.

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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Question

Design data structures: present five data structures including B-tree for big data (you find data), for sorting algorithms. In this
project, you will implement and analyze the following.
Median finding, Order Statistics, and Quick Sort: In this project, you will implement the median-finding algorithms. The
user should be able to select the "k”, i.e., the rank of the number desired as output (k = n/2 is the median). You should also
be able to select groups of 3, 5, 7, etc. in the linear-time median finding algorithm and be able to compare the performance
of each. Also, implement the randomized median finding algorithm and compare it against the linear-time one. Implement
quick sorting using both algorithms and compare the performances of these different versions.

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