I'm trying to output left and right indexes of the block in jump search algorithm, but I don't really know how to do it. Do you have any idea? The last block may be shorter so probably left border is going to be shorter than the others, so I can really picture a solution. When I'm declaring a new variable and I'm trying to update it in a loop, then outside of the loop it still has the old value and I really don't know why.
My code:
class Main {
public static void main(String[] args) {
Scanner scanner = new Scanner(System.in);
int length = scanner.nextInt();
int[] array = new int[length];
for (int i = 0; i < array.length; i++) {
array[i] = scanner.nextInt();
}
int target = scanner.nextInt();
jumpSearch(array,target);
}
public static int jumpSearch(int[] array, int target) {
int currentRight = 0;
int prevRight = 0;
// If array is empty, the element is not found
if (array.length == 0) {
return -1;
}
// Check the first element
if (array[currentRight] == target) {
return 0;
}
// Calculating the jump length over array elements
int jumpLength = (int) Math.sqrt(array.length);
// Finding a block where the element may be present
while (currentRight < array.length - 1) {
// Calculating the right border of the following block
currentRight = Math.min(array.length - 1, currentRight + jumpLength);
if (array[currentRight] >= target) {
break; // Found a block that may contain the target element
}
prevRight = currentRight; // update the previous right block border
// If the last block is reached and it cannot contain the target value => not found
if ((currentRight == array.length - 1) && target > array[currentRight]) {
return -1;
}
/* Doing linear search in the found block */
// backwardSearch(array, target, prevRight, currentRight);
return 0;
}
public static int backwardSearch(int[] array, int target, int leftExcl, int rightIncl) {
for (int i = rightIncl; i > leftExcl; i--) {
if (array[i] == target) {
return i;
}
}
return -1;
}
}
Here is the code from the example that I linked to in my comment to your question. I added three lines to it. I added a the following comment to each line I added.
// ADDED THIS LINE
public class JumpSearch
{
public static int jumpSearch(int[] arr, int x)
{
int n = arr.length;
// Finding block size to be jumped
int step = (int)Math.floor(Math.sqrt(n));
// Finding the block where element is
// present (if it is present)
int prev = 0;
while (arr[Math.min(step, n)-1] < x)
{
prev = step;
step += (int)Math.floor(Math.sqrt(n));
if (prev >= n)
return -1;
}
// Doing a linear search for x in block
// beginning with prev.
int left = prev; // ADDED THIS LINE
int right = Math.min(step, n); // ADDED THIS LINE
while (arr[prev] < x)
{
prev++;
// If we reached next block or end of
// array, element is not present.
if (prev == Math.min(step, n))
return -1;
}
// If element is found
if (arr[prev] == x) {
System.out.printf("Found %d between %d and %d%n", x, left, right); // ADDED THIS LINE
return prev;
}
return -1;
}
// Driver program to test function
public static void main(String [ ] args)
{
int arr[] = { 0, 1, 1, 2, 3, 5, 8, 13, 21,
34, 55, 89, 144, 233, 377, 610};
int x = 55;
// Find the index of 'x' using Jump Search
int index = jumpSearch(arr, x);
// Print the index where 'x' is located
System.out.println("\nNumber " + x +
" is at index " + index);
}
}
When I run the above code, I get this output.
Found 55 between 8 and 12
Number 55 is at index 10
Is that what you are looking for?
Related
I am working on Replacement Selection sort project but i keep getting the error Exception in thread main Java.lang.ArrayIndexOutOfBoundsException:10 at ReplacementSelection.swap(ReplacementSelection.java:42) at ReplacementSelection.siftDown(ReplacementSelection.java:69) at Replacement..
class ReplacementSelection {
static int[] array = new int[]{ 1,2,3,4,5,6,7,8,9,10 };
public static void sort() {
System.out.println("before:" + Arrays.toString(array));
for (int i = array.length/2; i >= 0; i--) {
siftDown(i);
}
int count = array.length-1;
while (count > 0)
{
swap(array[0], array[count]);
--count;
siftDown(0);
}
System.out.println("after:" + Arrays.toString(array));
}
public static void swap(int i, int j)
{
int tmp;
tmp = array[i];
array[i] = array[j];
array[j] = tmp;
}
public static void siftDown(int index)
{
int count = array.length;
// Left child is at index*2+1. Right child is at index*2+2;
while (true)
{
// first find the largest child
int largestChild = index*2+1;
// if left child is larger than count, then done
if (largestChild >= count)
{
break;
}
// compare with right child
if (largestChild+1 < count && array[largestChild] < array[largestChild+1])
{
++largestChild;
}
// If item is smaller than the largest child, then swap and continue.
if (array[index] < array[largestChild])
{
swap(array[index], array[largestChild]);
index = largestChild;
}
else
{
break;
}
}
}
public static void main(String[] args){
ReplacementSelection a = new ReplacementSelection();
a.sort();
}
}
You have written a swap method which takes indices as arguments. However, you pass it the values in the array at those indices instead of the indices themselves:
swap(array[0], array[count]);
and
swap(array[index], array[largestChild]);
To fix the exception error just pass the indices to the method:
swap(0, count);
and
swap(index, largestChild);
As #Pajacar123 mentioned, you should learn to use debugger.
In line
swap(array[index], array[largestChild]);
You are passing value from array which is at last index of table(index 9 value 10). Then when in method sawp in line array[i] = array[j];
j value is 10 while max index of table is 9. That causes exception. You are trying to refer to not existing elemnt.
I'm struggling to get my desired output below. This is what I have done so far, and I think I'm close to being done.
import java.util.Scanner;
public class sortedArrayBST {
public static void main(String[] args) {
Scanner input = new Scanner(System.in);
int n = input.nextInt();
try {
if (n <= 0) {
input.close();
}
int m = input.nextInt();
if (m <= 0) {
input.close();
}
int[] s = new int[n];
int[] w = new int[m];
for (int i = 0; i < n; i++) {
s[i] = input.nextInt();
}
for (int i = 0; i < m; i++) {
w[i] = input.nextInt();
}
} catch (IllegalStateException e) {
}
}
public static class TreeNode {
int val;
TreeNode left;
TreeNode right;
TreeNode parent;
TreeNode(int x) {
val = x;
}
}
public static TreeNode sortedArrayToBST(int[] num) {
if (num == null || num.length == 0)
return null;
int start = 0, end = num.length - 1;
TreeNode root = buildTree(num, start, end);
return root;
}
public static TreeNode buildTree(int[] num, int start, int end) {
if (start > end) {
return null;
}
int mid = start + (end - start) / 2;
TreeNode node = new TreeNode(num[mid]);
node.left = buildTree(num, start, mid - 1);
node.right = buildTree(num, mid + 1, end);
return node;
}
}
I have to take user input such as:
4 // denotes number of elements in array S, variable n.
2 // number of elements in array W, variable m.
0 // 0, 25, 33, 77 are in S.
25
33
77
19 // 19 and 40 are in W.
40
Those numbers represent the sentence positions, so the ends of each sentence.
The output is
2 // 2 words of interest found, this value is always the same as W above
1 25 // start of the sentence with 1st occurrence of word of interest (end of previous sentence + 1) and end of the sentence (aka ".")
34 77 // so the previous sentence before this ended at position 33, so the next sentence started at 34, and it ends at 77.
IDK how to get this using a sorted array to a BST.
If I understand you correctly, I think what you're looking for, is a way to traverse the bst you constructed to print the output in the given format.
If that is the case, you can do an inorder traversal of the tree to achieve that.(Although, having a sorted array, constructing a bst out of it and then printing the bst in a sorted order is kind of an overkill don't you think?)
static boolean flag = false;
public static void inorderTraverse(TreeNode root){
if(root == null) return;
inorderTraverse(root.left);
if(flag){
System.out.print(root.val);
System.out.print("\n");
flag = false;
}
else{
flag = true;
System.out.print(root.val + 1 + " ");
}
inorderTraverse(root.right);
}
So basically, I've been going through these codingBat problems, and when I get really stuck, I usually check out the solution and trace the logic and that has helped me not get stuck on later problems which used similar ideas.
This max mirror problem is not like the others for me personally; I have no idea how to actually write the code to solve it, even forming the algorithm is kind of tricky for me
We'll say that a "mirror" section in an array is a group of contiguous elements such that somewhere in the array, the same group appears in reverse order. For example, the largest mirror section in {1, 2, 3, 8, 9, 3, 2, 1} is length 3 (the {1, 2, 3} part). Return the size of the largest mirror section found in the given array.
maxMirror({1, 2, 3, 8, 9, 3, 2, 1}) → 3
maxMirror({1, 2, 1, 4}) → 3
maxMirror({7, 1, 2, 9, 7, 2, 1}) → 2
Now, in terms of the algorithm, I sort of want to say something like, if we start by checking if the whole array is a mirror and then decrease the checked area size by 1 if it's not. But in terms of the pseudocode and the real code I have no idea.
My go to solution in cases like this where what your code should be doing is always doing it manually, then figuring out the essence of how it is that I am tackling the solution.
For this problem I found myself looking at possible subsets of the original array, then looking backwards through the original array to see if I can find that same subset again.
Next, I translated that into pseudocode,
for each segment in nums
check if nums contains segment backwards
Repeated, but this time with more implementation details worked out.
for each segment in nums, starting with the largest
reverse the segment
check if nums contains reversed segment
if it does, return the size of that segment
Next, find some likely candidates for methods in the pseudocode and write them. I chose to do this for "reverse" and "contains":
private int[] reverse(int[] nums) {
int[] rtn = new int[nums.length];
for (int pos = 0; pos < nums.length; pos++) {
rtn[nums.length - pos - 1] = nums[pos];
}
return rtn;
}
private boolean contains(int[] nums, int[] segment) {
for (int i = 0; i <= nums.length - segment.length; i++) {
boolean matches = true;
for (int j = 0; j < segment.length; j++) {
if (nums[i + j] != segment[j]) {
matches = false;
break;
}
}
if (matches) return true;
}
return false;
}
Finally, implement the rest:
public int maxMirror(int[] nums) {
for (int window = nums.length; window > 0; window--) {
for (int pos = 0; pos <= nums.length - window; pos++) {
int[] segment = new int[window];
for (int innerpos = 0; innerpos < window; innerpos++) {
segment[innerpos] = nums[pos + innerpos];
}
segment = reverse(segment);
if (contains(nums, segment)) {
return window;
}
}
}
return 0;
}
My irrelevant two cents....
public int maxMirror(int[] nums) {
// maximum mirror length found so far
int maxlen= 0;
// iterate through all possible mirror start indexes
for (int front = 0; front < nums.length; front++) {
// iterate through all possible mirror end indexes
for (int back = nums.length - 1; back >= front; back--) {
// this inner for-loop determines the mirror length given a fixed
// start and end index
int matchlen = 0;
Boolean match = (nums[front] == nums[back]);
// while there is a match
// 1. increment matchlen
// 2. keep on checking the proceeding indexes
while (match) {
matchlen++;
int front_index = front + matchlen;
int back_index = back - matchlen;
// A match requires
// 1. Thee indexes are in bounds
// 2. The values in num at the specified indexes are equal
match =
(front_index < nums.length) &&
(back_index >= 0) &&
(nums[front_index] == nums[back_index]);
}
// Replace the max mirror length with the new max if needed
if (matchlen > maxlen) maxlen = matchlen;
}
}
return maxlen;
}
Alternative solution designed to confuse you
public int maxMirror(int[] nums) {
return maxlen_all_f(nums, 0);
}
int maxlen_all_f(int [] nums, int f) {
return (f >= nums.length)
? 0
: max(
maxlen_for_start_f(nums, f, nums.length - 1),
maxlen_all_f(nums, f + 1)
);
}
int max(int a, int b){
return (a > b)
? a
: b;
}
int maxlen_for_start_f(int [] nums, int f, int b) {
return (b < f)
? 0
: max(
matchlen_f(nums, f, b),
maxlen_for_start_f(nums, f, b - 1)
);
}
int matchlen_f(int[] nums, int f, int b) {
return match_f(nums, f, b)
? 1 + matchlen_f(nums, f + 1, b - 1)
: 0;
}
Boolean match_f(int [] nums, int a, int b) {
return (a < nums.length && b >= 0) && (nums[a] == nums[b]);
}
The solution is simple rather than making it complex:
public static int maxMirror(int[] nums) {
final int len=nums.length;
int max=0;
if(len==0)
return max;
for(int i=0;i<len;i++)
{
int counter=0;
for(int j=(len-1);j>i;j--)
{
if(nums[i+counter]!=nums[j])
{
break;
}
counter++;
}
max=Math.max(max, counter);
}
if(max==1)
max=0;
return max;
}
This is definitely not the best solution in terms of performance. Any further improvements are invited.
public int maxMirror(int[] nums) {
int maxMirror=0;
for(int i=0;i<nums.length;i++)
{
int mirror=0;
int index=lastIndexOf(nums,nums[i]);
if(index!=-1){
mirror++;
for(int j=i+1;j<nums.length;j++)
{
if(index>=0&&existsInReverse(nums,index,nums[j]))
{
mirror++;
index--;
continue;
}
else
break;
}
if(mirror>maxMirror)
maxMirror=mirror;
}
}
return maxMirror;
}
int lastIndexOf(int[] nums,int num){
for(int i=nums.length-1;i>=0;i--)
{
if(nums[i]==num)
return i;
}
return -1;
}
boolean existsInReverse(int nums[],int startIndex,int num){
if(startIndex!=0&&(nums[startIndex-1]==num))
return true;
return false;
}
Here is my answer , Hope the comments explain it well :)
public int maxMirror(int[] nums) {
int max = 0;
// our largest mirror section found stored in max
//iterating array
for(int i=0;i<nums.length;i++){
int iterator = i; // iterator pointing at one element of array
int counter = 0;//counter to count the mirror elements
//Looping through for the iterator element
for(int j=nums.length-1;j>=i;j--){
//found match i.e mirror element
if(nums[iterator] == nums[j]){
iterator++; // match them until the match ends
counter++; // counting the matched ones
}
else{
//matching ended
if(counter >= max){//checking if previous count was lower than we got now
max = counter; // store the count of matched elements
}
counter = 0; // reset the counter
iterator = i; // reset the iterator for matching again
}
}
if(counter >= max){//checking if previous count was lower than we got now
max = counter;// store the count of matched elements at end of iteration
}
}
return max;//return count
}
I am wondering why my code keeps having this "time limit exceed" on the uva-online judge page (http://uva.onlinejudge.org/index.php?option=com_onlinejudge&Itemid=8&page=show_problem&problem=2511), it is supposed to execute in 1 second but I don't know which input they use (my code works and do exactly what it supposed).. I am wondering that maybe the while loop of the testCases have something to do, because when I remove it it says wrong answer.. this is my code:
public class Main {
private static final int TAM = 10000; // TAM equals to the posible numbers of houses
private static int[] auxHouses;
private static int nHouses[];
private static int testCases;
private static Scanner scanner = new Scanner(System.in);
public static void main(String[] args) {
nHouses = new int[TAM];
// First we read the input
// Read the variable of testCases
testCases = scanner.nextInt();
while (testCases > 0) {
float sol = binarySearch(testCases);
System.out.println(sol);
testCases--;
}
}
public static float binarySearch(int tC) {
int routers = 0, houses = 0;
int pivot = 0;
int hi = 0;
// While for the testCases
routers = scanner.nextInt();
houses = scanner.nextInt();
// Read the numbers of the houses
for (int i = 0; i < houses; i++) {
nHouses[i] = scanner.nextInt();
}
if (routers >= houses) {
return 0;
}
// First we sort the array
sortHouses(nHouses, houses);
// Prepare the variables of the index
int lo = 0;
hi = 2 * (nHouses[houses - 1] - nHouses[0] + 1); // 2*(loc[h-1]-loc[0]+1);
// Now we execute the binary search algorithm
while (hi > lo) {
pivot = (lo + hi) / 2;
int start = nHouses[0];
int need = 1;
for (int i = 0; i < houses; i++) {
if (nHouses[i] > start + pivot) {
start = nHouses[i];
need++;
}
}
if (need > routers) {
lo = pivot + 1;
} else {
hi = pivot;
}
}
return (float) hi / 2;
}
public static void sortHouses(int[] nhouses, int length) {
// First we check if the are actually values on the array
if (nhouses.length == 0) {
return;
}
// Copy the array of int into an auxiliary variable and the numbers of
// int in the array
auxHouses = nhouses;
int lengthArray = length;
quickSort(0, lengthArray - 1);
}
public static void quickSort(int low, int high) {
// System.out.println("Array " + Arrays.toString(auxHouses));
int i = low, j = high;
// Get the pivot element from the middle of the list
int pivot = auxHouses[low + (high - low) / 2];
// Divide into two lists
while (i <= j) {
// If the current value from the left list is smaller then the pivot
// element then get the next element from the left list
while (auxHouses[i] < pivot) {
i++;
}
// If the current value from the right list is larger then the pivot
// element then get the next element from the right list
while (auxHouses[j] > pivot) {
j--;
}
// If we have found a values in the left list which is larger then
// the pivot element and if we have found a value in the right list
// which is smaller then the pivot element then we exchange the
// values.
// As we are done we can increase i and j
if (i <= j) {
exchange(i, j);
i++;
j--;
}
}
// Recursion
if (low < j)
quickSort(low, j);
if (i < high)
quickSort(i, high);
}
private static void exchange(int i, int j) {
int temp = auxHouses[i];
auxHouses[i] = auxHouses[j];
auxHouses[j] = temp;
}
}
I have it with the quicksort implemented, but if you use Arrays.sort(..) method instead it says the same thing..TLE, what could be doing wrong?
I'm having trouble combining these two algorithms together. I've been asked to modify Binary Search to return the index that an element should be inserted into an array. I've been then asked to implement a Binary Insertion Sort that uses my Binary Search to sort an array of randomly generated ints.
My Binary Search works the way it's supposed to, returning the correct index whenever I test it alone. I wrote out Binary Insertion Sort to get a feel for how it works, and got that to work as well. As soon as I combine the two together, it breaks. I know I'm implementing them incorrectly together, but I'm not sure where my problem lays.
Here's what I've got:
public class Assignment3
{
public static void main(String[] args)
{
int[] binary = { 1, 7, 4, 9, 10, 2, 6, 12, 3, 8, 5 };
ModifiedBinaryInsertionSort(binary);
}
static int ModifiedBinarySearch(int[] theArray, int theElement)
{
int leftIndex = 0;
int rightIndex = theArray.length - 1;
int middleIndex = 0;
while(leftIndex <= rightIndex)
{
middleIndex = (leftIndex + rightIndex) / 2;
if (theElement == theArray[middleIndex])
return middleIndex;
else if (theElement < theArray[middleIndex])
rightIndex = middleIndex - 1;
else
leftIndex = middleIndex + 1;
}
return middleIndex - 1;
}
static void ModifiedBinaryInsertionSort(int[] theArray)
{
int i = 0;
int[] returnArray = new int[theArray.length + 1];
for(i = 0; i < theArray.length; i++)
{
returnArray[ModifiedBinarySearch(theArray, theArray[i])] = theArray[i];
}
for(i = 0; i < theArray.length; i++)
{
System.out.print(returnArray[i] + " ");
}
}
}
The return value I get for this when I run it is 1 0 0 0 0 2 0 0 3 5 12. Any suggestions?
UPDATE: updated ModifiedBinaryInsertionSort
static void ModifiedBinaryInsertionSort(int[] theArray)
{
int index = 0;
int element = 0;
int[] returnArray = new int[theArray.length];
for (int i = 1; i < theArray.lenght - 1; i++)
{
element = theArray[i];
index = ModifiedBinarySearch(theArray, 0, i, element);
returnArray[i] = element;
while (index >= 0 && theArray[index] > element)
{
theArray[index + 1] = theArray[index];
index = index - 1;
}
returnArray[index + 1] = element;
}
}
Here is my method to sort an array of integers using binary search.
It modifies the array that is passed as argument.
public static void binaryInsertionSort(int[] a) {
if (a.length < 2)
return;
for (int i = 1; i < a.length; i++) {
int lowIndex = 0;
int highIndex = i;
int b = a[i];
//while loop for binary search
while(lowIndex < highIndex) {
int middle = lowIndex + (highIndex - lowIndex)/2; //avoid int overflow
if (b >= a[middle]) {
lowIndex = middle+1;
}
else {
highIndex = middle;
}
}
//replace elements of array
System.arraycopy(a, lowIndex, a, lowIndex+1, i-lowIndex);
a[lowIndex] = b;
}
}
How an insertion sort works is, it creates a new empty array B and, for each element in the unsorted array A, it binary searches into the section of B that has been built so far (From left to right), shifts all elements to the right of the location in B it choose one right and inserts the element in. So you are building up an at-all-times sorted array in B until it is the full size of B and contains everything in A.
Two things:
One, the binary search should be able to take an int startOfArray and an int endOfArray, and it will only binary search between those two points. This allows you to make it consider only the part of array B that is actually the sorted array.
Two, before inserting, you must move all elements one to the right before inserting into the gap you've made.
I realize this is old, but the answer to the question is that, perhaps a little unintuitively, "Middleindex - 1" will not be your insertion index in all cases.
If you run through a few cases on paper the problem should become apparent.
I have an extension method that solves this problem. To apply it to your situation, you would iterate through the existing list, inserting into an empty starting list.
public static void BinaryInsert<TItem, TKey>(this IList<TItem> list, TItem item, Func<TItem, TKey> sortfFunc)
where TKey : IComparable
{
if (list == null)
throw new ArgumentNullException("list");
int min = 0;
int max = list.Count - 1;
int index = 0;
TKey insertKey = sortfFunc(item);
while (min <= max)
{
index = (max + min) >> 1;
TItem value = list[index];
TKey compKey = sortfFunc(value);
int result = compKey.CompareTo(insertKey);
if (result == 0)
break;
if (result > 0)
max = index - 1;
else
min = index + 1;
}
if (index <= 0)
index = 0;
else if (index >= list.Count)
index = list.Count;
else
if (sortfFunc(list[index]).CompareTo(insertKey) < 0)
++index;
list.Insert(index, item);
}
Dude, I think you have some serious problem with your code. Unfortunately, you are missing the fruit (logic) of this algorithm. Your divine goal here is to get the index first, insertion is a cake walk, but index needs some sweat. Please don't see this algorithm unless you gave your best and desperate for it. Never give up, you already know the logic, your goal is to find it in you. Please let me know for any mistakes, discrepancies etc. Happy coding!!
public class Insertion {
private int[] a;
int n;
int c;
public Insertion()
{
a = new int[10];
n=0;
}
int find(int key)
{
int lowerbound = 0;
int upperbound = n-1;
while(true)
{
c = (lowerbound + upperbound)/2;
if(n==0)
return 0;
if(lowerbound>=upperbound)
{
if(a[c]<key)
return c++;
else
return c;
}
if(a[c]>key && a[c-1]<key)
return c;
else if (a[c]<key && a[c+1]>key)
return c++;
else
{
if(a[c]>key)
upperbound = c-1;
else
lowerbound = c+1;
}
}
}
void insert(int key)
{
find(key);
for(int k=n;k>c;k--)
{
a[k]=a[k-1];
}
a[c]=key;
n++;
}
void display()
{
for(int i=0;i<10;i++)
{
System.out.println(a[i]);
}
}
public static void main(String[] args)
{
Insertion i=new Insertion();
i.insert(56);
i.insert(1);
i.insert(78);
i.insert(3);
i.insert(4);
i.insert(200);
i.insert(6);
i.insert(7);
i.insert(1000);
i.insert(9);
i.display();
}
}