Week 09 Tutorial Questions
Sorting
Resources
Questions
-
Explain what these properties mean in relation to sorting algorithms:
- Stability
- Adaptability
- Comparison-based
-
Consider the following simple table of enrolments, sorted by course code:
COMP1927 Jane 3970 COMP1927 John 3978 COMP1927 Pete 3978 MATH1231 John 3978 MATH1231 Adam 3970 PSYC1011 Adam 3970 PSYC1011 Jane 3970 Now we wish to sort it by student name, so that we can easily see what courses each student is studying. Show an example of what the final array would look like if
- we used a stable sorting algorithm
- we used an unstable sorting algorithm
-
Sorting algorithms generally use comparison on the key to determine ordering. Ordering of items with equal keys has been left to the stability of the sorting algorithm used. Sometimes, it is important that items with the same key be ordered on a secondary key.
Write a function that takes two items and determines an order based on the primary key
k
and then on the value of a secondary keyj
. The function should return -1 if the first item is "less than" the second item, 1 if the first item is "greater than" the second item, and 0 if the items are equal. The function has the following signature:typedef struct item { int k; int j; /* ... other fields ...*/ } Item; int itemCmp(Item a, Item b) { ... }
-
How many comparisons would be required to sort this array
int a[] = {4, 3, 6, 8, 2};
for each of the following sorting algorithms:
- selection sort
- bubble sort
- insertion sort
-
Merge sort is typically implemented as follows:
void mergeSort(int A[], int lo, int hi) { if (lo >= hi) return; int mid = (lo + hi) / 2; mergeSort(A, lo, mid); mergeSort(A, mid + 1, hi); merge(A, lo, mid, hi); } void merge(int A[], int lo, int mid, int hi) { int nitems = hi - lo + 1; int *tmp = malloc(nitems * sizeof(int)); int i = lo; int j = mid + 1; int k = 0; // scan both segments into tmp while (i <= mid && j <= hi) { if (A[i] <= A[j]) { tmp[k++] = A[i++]; } else { tmp[k++] = A[j++]; } } // copy items from unfinished segment while (i <= mid) tmp[k++] = A[i++]; while (j <= hi) tmp[k++] = A[j++]; // copy items from tmp back to main array for (i = lo, k = 0; i <= hi; i++, k++) { A[i] = tmp[k]; } free(tmp); }
Suppose that at a particular point during the execution of the
mergeSort
function, the arrayA
looks like this:{ 1, 4, 5, 6, 7, 2, 3, 4, 7, 9 }
Show how the call
merge(A, 0, 4, 9)
would merge the elements of the two sorted subarrays into a single sorted array. -
An important operation in the quicksort algorithm is partition, which takes a element called the pivot, and reorganises the elements in the subarray
A[lo..hi]
such that all elements to the left of the pivot in the subarray are less than or equal to the pivot, and all elements to the right of the pivot in the subarray are greater than the pivot.Here is one possible implementation of partition:
int partition(int A[], int lo, int hi) { int pivot = A[lo]; // pivot int l = lo + 1; int r = hi; while (l < r) { while (l < r && A[l] <= pivot) l++; while (l < r && A[r] >= pivot) r--; if (l == r) break; swap(A, l, r); } int m = A[l] <= pivot ? l : l - 1; swap(A, lo, m); return m; }
Show how the call
partition(A, 0, 9)
would partition each of these arrays. What index is returned by each of these calls?{ 5, 3, 9, 6, 4, 2, 9, 8, 1, 7 }
{ 5, 9, 8, 7, 6, 0, 1, 2, 3, 4 }
{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 }
{ 9, 8, 7, 6, 5, 4, 3, 2, 1, 0 }
-
It is easy to check whether an array of integers is sorted. A trickier problem is to determine whether a sorting algorithm produced a stable sort. Assume that the array is composed of
Item
s with two fields, as in:typedef struct { int a; int b; } Item;
Assume also that the array has been sorted on the
Item.a
field.Given the final sorted array alone, you cannot determine whether the sort was stable. We also assume that the sorting client keeps a copy of the original array, which is available for checking.
Given the above, write a function that takes the original array, the sorted array, and determines whether the sort was stable. The function has the following interface:
int isStableSort(Item original[], Item sorted[], int size) { ... }
-
Write a version of selection sort that sorts a linked list. The sort should modify the original list - do not create any new nodes. The function has the following signature:
typedef struct Node *List; struct Node { int value; List next; }; List selectionSort(List ls) { ... }
-
Write a program that reads two sorted files and merges them onto standard output. The names of the files are provided as command-line arguments.
./merge File1 File2
If either file is not readable, exit with the error message:
Invalid input file(s).
-
Write a program that reads data about students in the form:
5059413 Daisy 3762 15 3461045 Dotty 3648 42 3474881 Daisy 8543 16 5061020 David 3970 3
from standard input, and then:
- stores it in an array of Student structs
{zid, name, prog, favnum}
- uses
qsort()
to sort it, making use of thestuCmp()
function (see below) - order is initially by name, and then by zID if the names are the same
- writes out sorted array, one Student per line
- use the following format for printing students
"%7d %-20s %4d %d\n"
You can assume that all of the input lines contain valid student entries, and that the
MAXxxx
constants are defined, and large enough to deal with any input data. You do not need to implement thestuCmp()
function; just assume it exists.Use the following template for the program:
typedef struct student { int zid; // 7-digit number char name[MAXNAME]; // names are stored *within* the struct int prog; // 4-digit number int favnum; // favourite number } Student; // return -ve if a < b, +ve if a > b, 0 if a == b int stuCmp(const void *a, const void *b); int main(int argc, char *argv[]) { Student students[MAXSTUDENTS]; // read stdin line-by-line into students[] // sort the students[] array // print the contents of the students[] array }
- stores it in an array of Student structs