I'm working on an assignment.
What I must create is a method that searches for an specific int in an array. It is assumed that the array is already sorted from lowest to highest number. But the condition is that it must search by cutting said array by half and checking in which of the halves the target number is in, then cut said half in half again and so on so on.
We were asked not to use recursive methods as well.
This is the code I came up with but I fail to see my mistake, any help to understand the problem better is more than appreciated!!!
public static boolean SearchInHalf(int[] array, int targetint)
{
int fin = array[array.length-1];
int init = array[0];
int range = fin-init;
if ( targetint>array[array.length-1] || targetint< array[0])
{
return false;
}
while (range>=2)
{
int half = array[range/2];
if (targetint>half)
{
init = half;
range = fin-init;
half = array[range/2];
}
else if (targetint<half)
{
fin = half;
range = fin-init;
half = array[range/2];
}
else if (targetint==half || targetint==fin || targetint==init)
{
return true;
}
}
return false;
}
Your problem is known as the "Binary Search". For binary search to work, the elements in the array must already be ordered (which is your case, let's assume ascending). The binary search first compares the key with the element in the middle of the array:
If the key is less than the middle element, you need to continue to search for the key only in the first half of the array.
If the key is greater than the middle element, you need to continue to search for the key only in the second half of the array.
If the key is equal to the middle element, the search ends with a match.
So binary search method eliminates at least half of the array after each comparison. Assuming you will call this method in your static main function:
public static int binarySearch(int[] list, int key) {
int low = 0;
int high = list.length - 1;
while(high >= low) { //search array until there is a single element left
int mid = (low + high) / 2; //mark middle index
if (key < list[mid]) //if key is smaller than the middle element..
high = mid - 1; //new high is the middle element
else if (key == list[mid]) //if key=middle element --> voila!
return mid; //returns the index of searched element if it is in your array
else
low = mid + 1; //if key is greater than the middle element new low is middle element
}
return –low - 1; //high < low, key not found
}
Solved it like this:
while (true) {
if (targetint>array[array.length-1] || targetint<array[0])
return false;
int middleInt = array[Math.round(array.length/2)];
if (middleInt == targetint) {
return true;
} else if (targetint<middleInt) {
int[] firstHalf = new int[array.length/2];
System.arraycopy(array, 0, firstHalf, 0, firstHalf.length);
array = firstHalf;
} else if (targetint>middleInt) {
int[] secondHalf = new int[array.length/2];
System.arraycopy(array, array.length/2, secondHalf, 0, secondHalf.length);
array = secondHalf;
} else if(array.length == 1)
return false;
}
I am trying to use my sorted list and implement it with binary search. Then i want to count the number of comparisons it takes to find the key. my code is:
public class BinarySearch {
private static int comparisions = 0;
public static void main(String[] args) {
int [] list = {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20};
int i = BinarySearch.BinSearch(list, 20);
System.out.println(comparisions);
}
public static int BinSearch(int[] list, int key) {
int low = 0;
int high = list.length - 1;
int mid = (high + low) / 2;
if (key < list[mid]) {
high = mid - 1;
comparisions++;
} else if (key == list[mid]) {
return mid;
comparisions++;
} else {
low = mid + 1;
comparisions++;
}
return -1;
}
}
So far it only gives me 1 for the comparison no matter what number is the key.
Your code is missing the looping part of the search, that looping can either be done using recursion or using a while loop. In both cases you have to ask yourself wether or not you just want to know the count or actually return the count of comparisons. Since your method right now returns the index, it cannot easily return the count of comparisons at the same time. For that to work you either need to return an array of two ints or a custom class IndexAndComparisonCount { ... }.
If you use a recursive approach you need to increment whenever you do a comparison and when you do a recursive call you need to get the return value of that recursive call and increment the comparisonCount the call returned by 1:
if (... < ...) {
IndexAndComparisonCount ret = BinSearch(...);
ret.comparisonCount += 1;
return ret;
} else if (... > ...) {
IndexAndComparisonCount ret = BinSearch(...);
ret.comparisonCount += 2; // since you did compare twice already
return ret;
} else {
return new IndexAndComparisonCount(mid, 2); // you compared twice as well
}
My aim is to input a key and an array, and then output the number of values in that array which are less than or equal to the key, using binary search.
This is my code:
import java.util.*;
import java.io.*;
public class search {
public static void main(String[] args) {
Scanner scan = new Scanner(System.in);
int key = scan.nextInt();
int size = scan.nextInt();
int [] array = new int [size];
for (int i = 0;i < size ;i++ ) {
array[i] = scan.nextInt();
}
Arrays.sort(array);
System.out.println(binary(key, array));
}
public static int binary (int key, int [] array){
int lo = 0;
int hi = array.length - 1;
while (lo < hi){
int mid = (lo + hi) / 2;
if (array[mid] <= key){
lo = mid;
}
else {
hi = mid - 1;
}
}
return lo + 1;
}
}
With the data key = 5, array = {2,4,6,7}, the program works fine. But the moment there are three values that are less than or equal to the key, it goes haywire. For example, key = 5, array = {2,4,5,6} produces an infinite loop. I've found the reason for this but I don't see how to get around it.
Basically the mid value keeps getting calculated as the same value. What can I do to get around this? If the code is inherently wrong, then that means the the set solution for a USACO problem was wrong.
The sample solution seems fine. The problem with your code is that mid = (lo + hi) / 2 rounds toward lo, which is a problem since the update cases are lo = mid and hi = mid - 1. When hi == lo + 1, in the first case, no progress is made. You should round up as the sample does: mid = (lo + hi + 1) / 2 (warning: may overflow on long arrays; check your constraints).
The sample also checks whether the first value is less than the key.
Your Algorithm seems fine. But i see there is a problem with assigning the value for mid.
int mid = (hi+lo)/2
think of a case where your
hi=4
mid = 3
now the new value for mid will be (3+4)/2 = 3 (integer division)
so the loop will continue running without breaking.
In this case what you can do is increment the value of mid, by checking this condition.
But more effectively its seems better check the value of mid is repeating, Then break the loop.
At last check whether the value of array[hi] is the same as your array[mid]
Hope this would help..
Have a nice day.. :)
EDIT
A better Way of doing would be
Change your while loop to
while(mid<hi+1){
}
then check for equality of the values after the loop..
OR
Simply set
mid = (mid+hi+1)/2
In your loop, you must make your intervals ever smaller and you must also exclude the element you've just looked at. You do that when you go left, but not when you go right.
You also miss out on intervals of length 1, because you use inclusive lower and upper bounds. Your loop condition should be lo <= hi.
Finally, you return one too many: The results should be 0 when the key is smaller than the first element and it should be the array length when it is greater than the last element.
So:
static int binary(int key, int[] array)
{
int lo = 0;
int hi = array.length - 1;
while (lo <= hi) {
int mid = (lo + hi) / 2;
if (array[mid] <= key) {
lo = mid + 1;
} else {
hi = mid - 1;
}
}
return lo;
}
In my opinion, it is better to use an exclusive upper bound, as Java usually does. (For example, an array of length n has elements at indoces 0 to n - 1, the upper bound n is outside the valid range.) If nothing else, it is consitent with other Java code. So:
static int binary(int key, int[] array)
{
int lo = 0;
int hi = array.length;
while (lo < hi) {
int mid = (lo + hi) / 2;
if (array[mid] <= key) {
lo = mid + 1;
} else {
hi = mid;
}
}
return lo;
}
My algorithm is suppose to tell me if 'x'(which has the value 5) is in the sorted array. However, I keep getting a 0. Well since my condition states that if 'x' is not in the array show 0. Where am I going wrong?
import java.util.Arrays;
public class binarySeacg {
public static void main (String[]args)
{
int[] array = {10,7,11,5,13,8};
exchangesort(array);
binsearch(array,5);
System.out.println(Arrays.toString(array));
}
public static void exchangesort(int[] S)
{
int i,j,temp;
for(i=0;i<S.length;i++)
for(j=i+1;j<S.length;j++)
if(S[i]>S[j])
{
temp = S[i];
S[i] = S[j];
S[j] = temp;
}
}
public static int binsearch(int[] S, int x)
{
int location, low, high, mid;
low = 1; high = S.length;
location = 0;
while(low<=high && location==0)
{
mid =(low + high)/2;
if(x== S[mid])
location = mid;
else if(x < S[mid])
high = mid -1;
else
low = mid + 1;
}
System.out.println(location);
return location;
}
}
You set low = 1;, and 5 is the minimal element - so it is in index 0 - so in the sublist of [1,S.length] - it is indeed not there.
You should set low = 0;, and start from the first element - not the second. (Remember that index in java starts from 0, not 1).
(PS, note that in this specific case - the algorithm is correct, since in the sorted list - 5 is in the index 0).
Here you are sorting an array and then the sorted array is used for searching the element.
And if the search is successful, then you do the below assignment
location = mid; which means you are assigning the matching element's index to the location variable.
In this case, element 5 is in 0th index.
Hence you are always getting 0 on your STDOUT
Because, you are trying to find x value, which you are passing 3 and in your list. It is not present. So, change it to other value like 5 and then try.
Also, you should start low=0 instead of low=1. Because, it will miss the first element all the time.
public static int binsearch(int[] S, int x)
{
int location, low, high, mid;
low = 0; high = S.length;
location = 0;
while(low<=high && location==0)
{
mid =(low + high)/2;
if(x == S[mid])
{
location = mid;break;
}
else if (x < S[mid])
{
high = mid - 1;
} else
{
low = mid + 1;
}
}
System.out.println(location);
return location;
}
Note : For the different output, change the value binsearch(array,5); here, which is called from main() method. Remember, change the value, which are present in your list.
in java and most languages, the index starts from 0, not 1, and ends at n-1, not n
for binary search, check carefully about when exiting the while loop, and always remember the meaning of your low and high variables, whether it is [low, high], or [low, high)
for this specific problem, u should also consider what if there r duplicates in the array. whether to return the first element or anyone in the array
This question already has answers here:
Finding multiple entries with binary search
(15 answers)
Closed 3 years ago.
I've been tasked with creating a method that will print all the indices where value x is found in a sorted array.
I understand that if we just scanned through the array from 0 to N (length of array) it would have a running time of O(n) worst case. Since the array that will be passed into the method will be sorted, I'm assuming that I can take advantage of using a Binary Search since this will be O(log n). However, this only works if the array has unique values. Since the Binary Search will finish after the first "find" of a particular value. I was thinking of doing a Binary Search for finding x in the sorted array, and then checking all values before and after this index, but then if the array contained all x values, it doesn't seem like it would be that much better.
I guess what I'm asking is, is there a better way to find all the indices for a particular value in a sorted array that is better than O(n)?
public void PrintIndicesForValue42(int[] sortedArrayOfInts)
{
// search through the sortedArrayOfInts
// print all indices where we find the number 42.
}
Ex: sortedArray = { 1, 13, 42, 42, 42, 77, 78 } would print: "42 was found at Indices: 2, 3, 4"
You will get the result in O(lg n)
public static void PrintIndicesForValue(int[] numbers, int target) {
if (numbers == null)
return;
int low = 0, high = numbers.length - 1;
// get the start index of target number
int startIndex = -1;
while (low <= high) {
int mid = (high - low) / 2 + low;
if (numbers[mid] > target) {
high = mid - 1;
} else if (numbers[mid] == target) {
startIndex = mid;
high = mid - 1;
} else
low = mid + 1;
}
// get the end index of target number
int endIndex = -1;
low = 0;
high = numbers.length - 1;
while (low <= high) {
int mid = (high - low) / 2 + low;
if (numbers[mid] > target) {
high = mid - 1;
} else if (numbers[mid] == target) {
endIndex = mid;
low = mid + 1;
} else
low = mid + 1;
}
if (startIndex != -1 && endIndex != -1){
for(int i=0; i+startIndex<=endIndex;i++){
if(i>0)
System.out.print(',');
System.out.print(i+startIndex);
}
}
}
Well, if you actually do have a sorted array, you can do a binary search until you find one of the indexes you're looking for, and from there, the rest should be easy to find since they're all next to each-other.
once you've found your first one, than you go find all the instances before it, and then all the instances after it.
Using that method you should get roughly O(lg(n)+k) where k is the number of occurrences of the value that you're searching for.
EDIT:
And, No, you will never be able to access all k values in anything less than O(k) time.
Second edit: so that I can feel as though I'm actually contributing something useful:
Instead of just searching for the first and last occurrences of X than you can do a binary search for the first occurence and a binary search for the last occurrence. which will result in O(lg(n)) total. once you've done that, you'll know that all the between indexes also contain X(assuming that it's sorted)
You can do this by searching checking if the value is equal to x , AND checking if the value to the left(or right depending on whether you're looking for the first occurrence or the last occurrence) is equal to x.
public void PrintIndicesForValue42(int[] sortedArrayOfInts) {
int index_occurrence_of_42 = left = right = binarySearch(sortedArrayOfInts, 42);
while (left - 1 >= 0) {
if (sortedArrayOfInts[left-1] == 42)
left--;
}
while (right + 1 < sortedArrayOfInts.length) {
if (sortedArrayOfInts[right+1] == 42)
right++;
}
System.out.println("Indices are from: " + left + " to " + right);
}
This would run in O(log(n) + #occurrences)
Read and understand the code. It's simple enough.
Below is the java code which returns the range for which the search-key is spread in the given sorted array:
public static int doBinarySearchRec(int[] array, int start, int end, int n) {
if (start > end) {
return -1;
}
int mid = start + (end - start) / 2;
if (n == array[mid]) {
return mid;
} else if (n < array[mid]) {
return doBinarySearchRec(array, start, mid - 1, n);
} else {
return doBinarySearchRec(array, mid + 1, end, n);
}
}
/**
* Given a sorted array with duplicates and a number, find the range in the
* form of (startIndex, endIndex) of that number. For example,
*
* find_range({0 2 3 3 3 10 10}, 3) should return (2,4). find_range({0 2 3 3
* 3 10 10}, 6) should return (-1,-1). The array and the number of
* duplicates can be large.
*
*/
public static int[] binarySearchArrayWithDup(int[] array, int n) {
if (null == array) {
return null;
}
int firstMatch = doBinarySearchRec(array, 0, array.length - 1, n);
int[] resultArray = { -1, -1 };
if (firstMatch == -1) {
return resultArray;
}
int leftMost = firstMatch;
int rightMost = firstMatch;
for (int result = doBinarySearchRec(array, 0, leftMost - 1, n); result != -1;) {
leftMost = result;
result = doBinarySearchRec(array, 0, leftMost - 1, n);
}
for (int result = doBinarySearchRec(array, rightMost + 1, array.length - 1, n); result != -1;) {
rightMost = result;
result = doBinarySearchRec(array, rightMost + 1, array.length - 1, n);
}
resultArray[0] = leftMost;
resultArray[1] = rightMost;
return resultArray;
}
Another result for log(n) binary search for leftmost target and rightmost target. This is in C++, but I think it is quite readable.
The idea is that we always end up when left = right + 1. So, to find leftmost target, if we can move right to rightmost number which is less than target, left will be at the leftmost target.
For leftmost target:
int binary_search(vector<int>& nums, int target){
int n = nums.size();
int left = 0, right = n - 1;
// carry right to the greatest number which is less than target.
while(left <= right){
int mid = (left + right) / 2;
if(nums[mid] < target)
left = mid + 1;
else
right = mid - 1;
}
// when we are here, right is at the index of greatest number
// which is less than target and since left is at the next,
// it is at the first target's index
return left;
}
For the rightmost target, the idea is very similar:
int binary_search(vector<int>& nums, int target){
while(left <= right){
int mid = (left + right) / 2;
// carry left to the smallest number which is greater than target.
if(nums[mid] <= target)
left = mid + 1;
else
right = mid - 1;
}
// when we are here, left is at the index of smallest number
// which is greater than target and since right is at the next,
// it is at the first target's index
return right;
}
I came up with the solution using binary search, only thing is to do the binary search on both the sides if the match is found.
public static void main(String[] args) {
int a[] ={1,2,2,5,5,6,8,9,10};
System.out.println(2+" IS AVAILABLE AT = "+findDuplicateOfN(a, 0, a.length-1, 2));
System.out.println(5+" IS AVAILABLE AT = "+findDuplicateOfN(a, 0, a.length-1, 5));
int a1[] ={2,2,2,2,2,2,2,2,2};
System.out.println(2+" IS AVAILABLE AT = "+findDuplicateOfN(a1, 0, a1.length-1, 2));
int a2[] ={1,2,3,4,5,6,7,8,9};
System.out.println(10+" IS AVAILABLE AT = "+findDuplicateOfN(a2, 0, a2.length-1, 10));
}
public static String findDuplicateOfN(int[] a, int l, int h, int x){
if(l>h){
return "";
}
int m = (h-l)/2+l;
if(a[m] == x){
String matchedIndexs = ""+m;
matchedIndexs = matchedIndexs+findDuplicateOfN(a, l, m-1, x);
matchedIndexs = matchedIndexs+findDuplicateOfN(a, m+1, h, x);
return matchedIndexs;
}else if(a[m]>x){
return findDuplicateOfN(a, l, m-1, x);
}else{
return findDuplicateOfN(a, m+1, h, x);
}
}
2 IS AVAILABLE AT = 12
5 IS AVAILABLE AT = 43
2 IS AVAILABLE AT = 410236578
10 IS AVAILABLE AT =
I think this is still providing the results in O(logn) complexity.
A Hashmap might work, if you're not required to use a binary search.
Create a HashMap where the Key is the value itself, and then value is an array of indices where that value is in the array. Loop through your array, updating each array in the HashMap for each value.
Lookup time for the indices for each value will be ~ O(1), and creating the map itself will be ~ O(n).
Find_Key(int arr[], int size, int key){
int begin = 0;
int end = size - 1;
int mid = end / 2;
int res = INT_MIN;
while (begin != mid)
{
if (arr[mid] < key)
begin = mid;
else
{
end = mid;
if(arr[mid] == key)
res = mid;
}
mid = (end + begin )/2;
}
return res;
}
Assuming the array of ints is in ascending sorted order; Returns the index of the first index of key occurrence or INT_MIN. Runs in O(lg n).
It is using Modified Binary Search. It will be O(LogN). Space complexity will be O(1).
We are calling BinarySearchModified two times. One for finding start index of element and another for finding end index of element.
private static int BinarySearchModified(int[] input, double toSearch)
{
int start = 0;
int end = input.Length - 1;
while (start <= end)
{
int mid = start + (end - start)/2;
if (toSearch < input[mid]) end = mid - 1;
else start = mid + 1;
}
return start;
}
public static Result GetRange(int[] input, int toSearch)
{
if (input == null) return new Result(-1, -1);
int low = BinarySearchModified(input, toSearch - 0.5);
if ((low >= input.Length) || (input[low] != toSearch)) return new Result(-1, -1);
int high = BinarySearchModified(input, toSearch + 0.5);
return new Result(low, high - 1);
}
public struct Result
{
public int LowIndex;
public int HighIndex;
public Result(int low, int high)
{
LowIndex = low;
HighIndex = high;
}
}
public void printCopies(int[] array)
{
HashMap<Integer, Integer> memberMap = new HashMap<Integer, Integer>();
for(int i = 0; i < array.size; i++)
if(!memberMap.contains(array[i]))
memberMap.put(array[i], 1);
else
{
int temp = memberMap.get(array[i]); //get the number of occurances
memberMap.put(array[i], ++temp); //increment his occurance
}
//check keys which occured more than once
//dump them in a ArrayList
//return this ArrayList
}
Alternatevely, instead of counting the number of occurances, you can put their indices in a arraylist and put that in the map instead of the count.
HashMap<Integer, ArrayList<Integer>>
//the integer is the value, the arraylist a list of their indices
public void printCopies(int[] array)
{
HashMap<Integer, ArrayList<Integer>> memberMap = new HashMap<Integer, ArrayList<Integer>>();
for(int i = 0; i < array.size; i++)
if(!memberMap.contains(array[i]))
{
ArrayList temp = new ArrayList();
temp.add(i);
memberMap.put(array[i], temp);
}
else
{
ArrayList temp = memberMap.get(array[i]); //get the lsit of indices
temp.add(i);
memberMap.put(array[i], temp); //update the index list
}
//check keys which return lists with length > 1
//handle the result any way you want
}
heh, i guess this will have to be posted.
int predefinedDuplicate = //value here;
int index = Arrays.binarySearch(array, predefinedDuplicate);
int leftIndex, rightIndex;
//search left
for(leftIndex = index; array[leftIndex] == array[index]; leftIndex--); //let it run thru it
//leftIndex is now the first different element to the left of this duplicate number string
for(rightIndex = index; array[rightIndex] == array[index]; rightIndex++); //let it run thru it
//right index contains the first different element to the right of the string
//you can arraycopy this [leftIndex+1, rightIndex-1] string or just print it
for(int i = leftIndex+1; i<rightIndex; i++)
System.out.println(array[i] + "\t");