Completed PreCourse-2

Exercise_1.java

@@ -1,8 +1,23 @@
+//Time Complexity:O(log n)
+//Space Complexity:O(1)
 class BinarySearch { 
     // Returns index of x if it is present in arr[l.. r], else return -1 
     int binarySearch(int arr[], int l, int r, int x) 
     { 
         //Write your code here
+        while(l<=r){
+            int m = l+(r-l)/2;
+            if(arr[m]==x){
+                return m;
+            }
+            else if(arr[m]<x){
+                l=m+1;
+            }
+            else{
+                r=m-1;
+            }
+        }
+        return -1;
     } 
 
     // Driver method to test above 

Exercise_2.java

@@ -1,3 +1,5 @@
+//Time Complexity:O(n log n)
+//Space Complexity:O(n)(recursive stack)
 class QuickSort 
 { 
     /* This function takes last element as pivot, 
@@ -7,12 +9,28 @@ class QuickSort
        pivot and all greater elements to right 
        of pivot */
     void swap(int arr[],int i,int j){
-        //Your code here   
+        //Your code here 
+        int temp;
+        temp=arr[i];
+        arr[i]=arr[j];
+        arr[j]=temp;  
     }
 
     int partition(int arr[], int low, int high) 
     { 
    	//Write code here for Partition and Swap 
+    int pivot = arr[high];//fixing pivot
+    //move from low to high and put elements smaller than pivot on left side
+    int i=low-1;
+    for (int j = low; j <= high - 1; j++) {
+        if (arr[j] < pivot) {
+            i++;
+            swap(arr, i, j);
+        }
+    }
+    //move pivot 
+    swap(arr, i+1, high);
+    return i + 1;
     } 
     /* The main function that implements QuickSort() 
       arr[] --> Array to be sorted, 
@@ -22,6 +40,12 @@ void sort(int arr[], int low, int high)
     {  
             // Recursively sort elements before 
             // partition and after partition 
+            if (low < high) {
+
+                int pivot = partition(arr, low, high);
+                sort(arr, low, pivot - 1);
+                sort(arr, pivot + 1, high);
+            }
     } 
 
     /* A utility function to print array of size n */

Exercise_3.java

@@ -1,3 +1,5 @@
+//Time Complexity:O(n)
+//Space Complexity:O(1)
 class LinkedList 
 { 
     Node head; // head of linked list 
@@ -20,6 +22,17 @@ void printMiddle()
     { 
         //Write your code here
 	//Implement using Fast and slow pointers
+    if(head == null){
+        System.out.println("List is empty");
+        return;
+    }
+    Node slow = head;
+    Node fast = head;
+    while(fast!=null && fast.next!=null){
+        slow=slow.next;//when slow moves 1 step
+        fast=fast.next.next;//fast moves 2 steps
+    }
+    System.out.println("Middle element is "+ slow.data);
     } 
 
     public void push(int new_data) 

Exercise_4.java

@@ -1,11 +1,49 @@
+//Time Complexity:O(n log n)
+//Space Complexity:O(n)
 class MergeSort 
 { 
     // Merges two subarrays of arr[]. 
     // First subarray is arr[l..m] 
     // Second subarray is arr[m+1..r] 
     void merge(int arr[], int l, int m, int r) 
     {  
-       //Your code here  
+       //Your code here 
+       //sizes of two subarrays 
+       int size1 = m-l+1;
+       int size2=r-m;
+       //create subarrays
+       int left[]=new int[size1];
+       int right[]=new int[size2];
+       //put data into left and right
+       for (int i = 0; i < size1; ++i)
+            left[i] = arr[l + i];
+        for (int j = 0; j < size2; ++j)
+            right[j] = arr[m + 1 + j];
+        //merge left and right
+        int i=0,j=0,k=l;
+        while (i < size1 && j < size2) {
+            if (left[i] <= right[j]) {
+                arr[k] = left[i];
+                i++;
+            }
+            else {
+                arr[k] = right[j];
+                j++;
+            }
+            k++;
+        }
+        // Copy remaining elements
+        while (i < size1) {
+            arr[k] = left[i];
+            i++;
+            k++;
+        }
+        while (j < size2) {
+            arr[k] = right[j];
+            j++;
+            k++;
+        }
+
     } 
 
     // Main function that sorts arr[l..r] using 
@@ -14,6 +52,12 @@ void sort(int arr[], int l, int r)
     { 
 	//Write your code here
         //Call mergeSort from here 
+        if (l < r) {
+            int mid = l + (r - l) / 2;// Find middle
+            sort(arr, l, mid);// Sort first and second halves
+            sort(arr, mid + 1, r);
+            merge(arr, l, mid, r);// Merge sorted halves
+        }
     } 
 
     /* A utility function to print array of size n */

Exercise_5.java

@@ -1,20 +1,64 @@
+//Time Complexity:O(n log n)
+//Space Complexity:O(n)
+import java.util.Stack;
+
 class IterativeQuickSort { 
     void swap(int arr[], int i, int j) 
     { 
 	//Try swapping without extra variable 
+    if(i!=j){
+    arr[i] = arr[i]+arr[j];
+    arr[j] = arr[i]-arr[j];
+    arr[i] = arr[i]-arr[j];
+    }
     } 
 
     /* This function is same in both iterative and 
        recursive*/
     int partition(int arr[], int l, int h) 
     { 
         //Compare elements and swap.
+        int pivot = arr[h];//fixing pivot
+    //move from low to high and put elements smaller than pivot on left side
+    int i=l-1;
+    for (int j = l; j <= h - 1; j++) {
+        if (arr[j] < pivot) {
+            i++;
+            swap(arr, i, j);
+        }
+    }
+    //move pivot 
+    swap(arr, i+1, h);
+    return i + 1;
     } 
 
     // Sorts arr[l..h] using iterative QuickSort 
     void QuickSort(int arr[], int l, int h) 
     { 
         //Try using Stack Data Structure to remove recursion.
+        Stack<Integer> stack = new Stack<>();
+        if(l<h){
+        stack.push(l);
+        stack.push(h);
+        }
+
+        while (!stack.isEmpty()) {
+            h = stack.pop();
+            l = stack.pop();
+
+            int pivot = partition(arr, l, h);
+
+            if (pivot - 1 > l) {
+                stack.push(l);
+                stack.push(pivot - 1);
+            }
+
+            if (pivot + 1 < h) {
+                stack.push(pivot + 1);
+                stack.push(h);
+            }
+        }
+
     } 
 
     // A utility function to print contents of arr