Solved–Problem Set 3– Solution

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Problem 3.      (The CS2040S Detectives)     We have six impostors on ours hands. Each claims to be Mr. QuickSort, the most popular sorting algorithm around. Only one of these six is telling the truth. Four of the others are just harmless imitators, Mr. BubbleSort, Ms. SelectionSort, Mr. InsertionSort, and Ms. MergeSort. Beware, however, one…

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Problem 3.      (The CS2040S Detectives)

 

 

We have six impostors on ours hands. Each claims to be Mr. QuickSort, the most popular sorting algorithm around. Only one of these six is telling the truth. Four of the others are just harmless imitators, Mr. BubbleSort, Ms. SelectionSort, Mr. InsertionSort, and Ms. MergeSort. Beware, however, one of the impostors is not a sorting algorithm: Dr. Evil maliciously returns unsorted arrays! And he won’t be easy to catch. He will try to trick you by often returning correctly sorted arrays. Especially on easy instances, he’s not going to slip up.

 

Your job is to investigate, and identify who is who and what is what. Attached to this prob-lem set, you will nd six sorting implementations: (i) SorterA.class, (ii) SorterB.class, (iii) SorterC.class, (iv) SorterD.class, (v) SorterE.class, and (vi) SorterF.class. These are pro-vided in a single JAR le: Sorters.jar. Each of these class les contains a class that implements the ISort interface which supports the following method:

 

public void sort(KeyValuePair[] array)

 

You can   nd the code for the KeyValuePair class attached as well: it is a simple container that

 

holds two integers: a key and a value. The sort routines will sort the array of objects by key.

 

You can test these sorting routines in the normal way: create an array, create a sorter object, and sort. See the example le SortTestExample.java.

 

You can then use the StopWatch to measure how fast each of these sorting routines runs. Each sorting algorithm has some inputs on which it is fast, and some inputs on which it is slow. Some sorting algorithms are stable, and others are not. Using these properties, you can gure out who is who, and identify Dr. Evil.

 

Beware, however, that these characters can be deceptive. While they cannot hide their asymptotic running time, they may well choose to run consistently slower than you expect. (You should not assume that QuickSort is always the fastest, for example. You should only rely on relative speed, not absolute speed.)

 

 

IntelliJ tips: The rst thing you will need to do is to import the class les into your project in IntelliJ.

 

 

 

Put the ISort.java le in the src folder. Put the Sorters.jar le in the src folder.

 

Right click on the .jar  le and click \Add as Library.”

 

 

 

 

 

 

 

 

 

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Problem 3.a. Write a routine boolean checkSort(ISort sorter, int size) that runs a test on an array of the speci ed size to determine if the speci ed sorting algorithm sorts correctly.

 

 

 

Problem 3.b. Write a routine boolean isStable(ISort sorter, int size) that runs a test on an array of the speci ed size to determine if the speci ed sorting algorithm is stable.

 

 

 

Problem 3.c. Write whatever additional code you need in order to test the sorters to determine which is which. All evidence you give below you rely on properties of the sorting algorithms, along with data from your tests that supports your claim.

 

 

 

Problem 3.d.           What is the true identity of SorterA? Give the evidence that proves your claim.

 

 

 

Problem 3.e.          What is the true identity of SorterB? Give the evidence that proves your claim.

 

 

 

Problem 3.f.          What is the true identity of SorterC? Give the evidence that proves your claim.

 

 

 

Problem 3.g.          What is the true identity of SorterD? Give the evidence that proves your claim.

 

 

 

Problem 3.h.           What is the true identity of SorterE? Give the evidence that proves your claim.

 

 

 

Problem 3.i.           What is the true identity of SorterF? Give the evidence that proves your claim.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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