package Message;
public class Example_R {
public static void main (String args[])
int n=1;
int input[]={1, 2, 1, 3, 4};
for (int j=0; j<=4; j++) {
int Add = 0;
for (int i=0; i<=4; i++) {
if (input[j] !=input[i]) {
Add+=input[i];
}
}
System.out.println(Add);
}
}
}
Output of This program is: 9 9 9 8 7 sum of all the other elements in the array that are not equal to the element.
Now I want to extend the program so I can print the Largest sum of any of it's element, (In this case 9 is the largest sum.) Do you have any suggestions? For this assignment I am restricted from using additional array, hashmap etc. not allowed. Arrays.sort(..)
Hint: use a variable that is holding "the largest sum reached so far". You will update it very time you compute a new sum.
You will need to find "how and when do I initialize this variable ?" and "how do I update it ?"
You probably want to create a separate method that you pass your "input[]" array to (left as an exercise). However when considering problems like this, first just consider how you would do it in english (or whatever your native language is). Write down that strategy (an "algorithm") and then implement that in Java.
public class Example_R {
public static void main(String args[]) {
int input[] = { 1, 2, 1, 3, 4 };
int largestSum = 0;
int currentSum;
for (int j = 0; j < input.length; j++) {
currentSum = 0;
for (int i = 0; i < input.length; i++) {
if (input[j] != input[i]) {
currentSum += input[i];
}
}
System.out.println("Sum of all values not equal to " + input[j]
+ " is: " + currentSum);
if (j == 0) {
largestSum = currentSum;
} else {
if (largestSum < currentSum) {
largestSum = currentSum;
}
}
}
System.out.println("The largest overall sum was " + largestSum);
}
}
You'll need a temporary variable to save the current highest number.
int temp = intArray[0]
for(int i : intArray)
{
if(i > temp)
temp = i;
}
Try this:
int n = 1,sum=0;
int[] input = { 1, 2, 1, 3, 4 };
for (int j = 0; j <= 4; j++){
int Add = 0;
for (int i = 0; i <= 4; i++){
if (input[j] != input[i])
Add += input[i];
}
if (sum < Add)
sum = Add;
}
After completing the second loop every time,the "sum" was updated if it is less than the current "add" value.
You can use variables of type Comparable and use the compareTo() method.
one.compareTo(two) will return > 0 if one > two
one.compareTo(two) will return < 0 if one < two
one.compareTo(two) will return 0 if one and two are equal
Go through the array, compare the current index with the previous index, and update a variable that holds the currentLargest value.
Related
I'm trying to sort an array by the number of digits in each element from largest to smallest. This technically works but it seems to sort the array by value as well. For example, instead of printing out 1234 700 234 80 52, it should print 1234 234 700 52 80 as 234 is before 700 in the original array.
public class Sort {
public static void main(String[] args) {
//Initialize array
int [] arr = new int [] {52, 234, 80, 700, 1234};
int temp = 0;
//Displaying elements of original array
System.out.println("Elements of original array: ");
for (int i = 0; i < arr.length; i++) {
System.out.print(arr[i] + " ");
}
//Sort the array in descending order
//Math function is used to find length of each element
for (int i = 0; i < arr.length; i++) {
for (int j = i+1; j < arr.length; j++) {
if(Math.log10(arr[i]) + 1 < Math.log10(arr[j]) + 1) {
temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
}
}
System.out.println();
//Displaying elements of array after sorting
System.out.println("Elements of array sorted in descending order: ");
for (int i = 0; i < arr.length; i++) {
System.out.print(arr[i] + " ");
}
}
}
The easiest way to find the length of the number is to convert it into a String and then call the method length on it.
int number = 123;
String numberAsString = String.valueOf(number);
int length = numberAsString.length(); // returns 3
But you also could do it by division. The following method takes a number and divides by multiples of 10.
divide by 1 (we have at least a length of 1)
division by 10 > 0 (we have at least a length of 2)
division by 100 > 0 (we have at least a length of 3)
...
the variable i is used as dividend and the variable j is used as counter. j counts the length of the number.
As soon as number / i equals zero we return the counter value.
public int lengthOfNumber(int number) {
if (number == 0) {
return 1;
}
for (int i = 1, j = 0; ; i *= 10, j++) {
if (number / i == 0) {
return j;
}
}
}
There are multiple ways to sort the array. Here are some examples (I used the string version for comparing the values).
Use nested for-loop
public void sortArray(int[] array) {
for (int i = 0; i < array.length; i++) {
int swapIndex = -1;
int maxLength = String.valueOf(array[i]).length();
for(int j = i + 1; j < array.length; j++) {
int length2 = String.valueOf(array[j]).length();
if (maxLength < length2) {
maxLength = length2;
swapIndex = j;
}
}
if (swapIndex > -1) {
int temp = array[i];
array[i] = array[swapIndex];
array[swapIndex] = temp;
}
}
}
I used a variable swapIndex which is initialized with -1. This way we can avoid unnecessary array operations.
We take the first element in the outer for-loop and go through the rest of the array in the inner for-loop. we only save a new swapIndex if there is a number in the rest of the array with a higher length. if there is no number with a higher length, swapIndex remains -1. We do a possible swap only in the outer for-loop if necessary (if swapIndex was set).
Using Arrays.sort()
If you want to use Arrays.sort you need to convert your array from primitive type int to Integer.
public void sortArray(Integer[] array) {
Arrays.sort(array, (o1, o2) -> {
Integer length1 = String.valueOf(o1).length();
Integer length2 = String.valueOf(o2).length();
return length2.compareTo(length1);
});
}
Using a recursive method
public void sortArray(int[] array) {
for (int i = 0; i < array.length - 1; i++) {
String current = String.valueOf(array[i]);
String next = String.valueOf(array[i + 1]);
if (current.length() < next.length()) {
int temp = array[i];
array[i] = array[i + 1];
array[i + 1] = temp;
// here you do a recursive call
sortArray(array);
}
}
}
The task is to write a code which counts the most common number. For example A[1,2,4,4,4,5,6,7,4] would be 4 with 4 counts.
I need to keep this code simple because I just tried to implement my code from algorithm and data structure to java.
My idea was this but somehow I never reach the last condition.
public class countingNumbers{
public static void main(String []args){
System.out.print(counting(new int[]{1,1,1,2,3,4,4,4,4,5,6}));
}
public static int counting(int[] x){
int memory = 0;
int counter = 0;
int mostCommon = 0;
for(int i = 0; i < x.length-1;i++){
for(int j = i+1; j < x.length-1; j++){
if(x[i] == x[j]){
counter = counter +1;
}
else if(j == x.length-1 && counter >= memory){
mostCommon = x[i];
memory = counter;
counter = 0;
}
}
}
return mostCommon;
}
}
-> Thanks in advance for all your answers, I appreciate that. I'am just looking for the logic not for stream, api's or whatever.
I tried do handwrite the code and the implementation in java is only for myself to see if it worked out but unfortunately it doesn't.
Update - the right Solution is this:
public class countingNumbers{
public static void main(String []args){
System.out.print(counting(new int[]{1,2,2,2,6,2}));
}
public static int counting(int[] x){
int memory = 0;
int counter = 1;
int mostCommon = 0;
for(int i = 0; i < x.length;i++){
for(int j = i+1; j <= x.length-1; j++){
if(x[i] == x[j]){
counter = counter + 1;
}
if(j == x.length-1 && counter >= memory){
mostCommon = x[i];
memory = counter;
counter = 1;
}
}counter = 1;
} return memory;
}
}
I'd stream the array and collect it in to a map the counts the occurrences of each element, and then just return the one with the highest count:
/**
* #return the element that appears most in the array.
* If two or more elements appear the same number of times, one of them is returned.
* #throws IllegalArgumentException If the array is empty
*/
public static int counting(int[] x){
return Arrays.stream(x)
.boxed()
.collect(Collectors.groupingBy(Function.identity(), Collectors.counting()))
.entrySet()
.stream()
.max(Map.Entry.comparingByValue())
.map(Map.Entry::getKey)
.orElseThrow(() -> new IllegalArgumentException("x must not be empty"));
}
If you are good with stream api.. or just for educational goals there is stream solution with groupingBy:
Integer[] arr = {1, 1, 1, 2, 3, 4, 4, 4, 4, 5, 6};
Map<Integer, Long> map = Arrays.stream(arr)
.collect(Collectors.groupingBy(o -> o, Collectors.counting()));
Integer common = map.entrySet().stream()
.max(Comparator.comparingLong(Map.Entry::getValue))
.map(Map.Entry::getKey).get();
System.out.println(common);
Update: If stream is not relevant for you:
It can be done by foor-loop but still it's quite convenient to use Map here:
public static int counting(int[] x) {
Map<Integer, Long> map = new HashMap<>(); // key is a number, value is how often does it appear in the array
for (int number : x) {
if (map.get(number) != null) {
map.put(number, map.get(number) + 1);
} else {
map.put(number, 1L);
}
}
return Collections.max(map.entrySet(), Map.Entry.comparingByKey()).getKey();
}
Note: there are many ways to get key from map associated with max value. See here to find the most suitable way: Finding Key associated with max Value in a Java Map
Also if else statement can be replaced by merge method from java8:
map.merge(number, 1L, (a, b) -> a + b);
Take a look at these two lines:
for (int j = i + 1; j < x.length - 1; j++) {
and
} else if (j == x.length - 1 && counter >= memory)
You loop while j is strictly less than x.length - 1, but your else if only triggers when j is exactly equal to x.length - 1. So you can never hit the code in your else if block.
Also, your counter should really start at one, since you're counting the number of entries that match the one you're looking at, so you skip counting the first one. But since you're not outputting the counter anywhere, it's not terribly relevant I guess.
So to fix your code, change your inner for loop to go to j <= x.length - 1.
Declare two variables to hold the most common number and its frequency:
int mostCommon =Integer.MIN_VALUE;
int highFreq = 0;
Itereate over your array. For each element iterate over your array again and count its frequency. If current count is greater than highFreq update mostCommon by seting it to current element and set highFreq current count. Example:
public class countingNumbers{
public static void main(String[] args) {
int[] res = counting(new int[]{6, 4, 5, 4, 5, 6, 4, 3, 2});
System.out.println("most common number is: " + res[0] + " with " + res[1] + " counts");
}
public static int[] counting(int[] x) {
int mostCommon = Integer.MIN_VALUE;
int highFreq = 0;
for (int i = 0; i < x.length; i++) {
int currFreq = 0;
for (int j = 0; j < x.length; j++) {
if (x[i] == x[j]) {
currFreq++;
}
}
if (highFreq < currFreq) {
highFreq = currFreq;
mostCommon = x[i];
}
}
return new int[]{mostCommon, highFreq};
}
}
I can't solve the problem , where I need output from array A like {1,2,3,4,-1,-2,-3,-4}
from random numbers in array, then write it to another array B. So far my experimental code doesn't work as I'd
public static void main(String[] args) {
int a[] = {5,4,3,2,1,-3,-2,-30};
int length = a.length - 1;
for (int i = 0 ; i < length ; i++) {
for (int j = 0 ; j < length-i ; j++) {
if (a[j] < a[j+1]) {
int swap = a[j];
a[j] = a[j+1];
a[j+1] = swap;
}
}
}
for (int x : a) {
System.out.print(x+" ");
}
}
Output is 5 4 3 2 1 -2 -3 -30 , but I need 1,2,3,4,5,-2,-3,-30
Update:
public static void main(String[] args) {
int a[] = {5,4,3,2,1,-3,-2,-30,-1,-15,8};
int length = a.length - 1;
for (int i = 0 ; i < length ; i++) {
for (int j = 0 ; j < length-i ; j++) {
if (a[j] < a[j+1]) {
int swap = a[j];
a[j] = a[j+1];
a[j+1] = swap;
} else {
if (a[j] > a[j+1] && a[j+1] > 0) {
int swap = a[j];
a[j] = a[j+1];
a[j+1] = swap;
}
}
}
}
for (int x : a) {
System.out.print(x+" ");
}
}
I got closer to my target but 8 1 2 3 4 5 -1 -2 -3 -15 -30 , that number 8 ruins it all
Add an if-else to differentiate the positive and negative case.
if (a[j] < 0) {
if (a[j] < a[j+1]) {
int swap = a[j];
a[j] = a[j+1];
a[j+1] = swap;
}
} else {
if (a[j] > a[j+1] && a[j+1] > 0) {
int swap = a[j];
a[j] = a[j+1];
a[j+1] = swap;
}
}
If I understand you correctly you want to sort after two things. Positive numbers from low to high and negative numbers from high to low.
You could first sort from high to low and in a second run over the array skip all positives and then sort from high to low.
Does this help?
I could write some code, but I believe that's something you want to learn right now :)
Algo:
Traverse the Array and Store positives in one and Negatives in another. O(i)
Sort the positives array in ascending order. O(mLog(m))
Sort the negatives indescending order. O(nLog(n))
Create a final array of the size of the input.
Add all the positive array sorted values. Then add the negative array sorted values. O(i)
Total : O(i) + O(mLog(m)) + O(nLog(n)) + O(i) = O(mLog(m)) if m > n
I have used library functions here. But if you want you can the write the functions using the same idea.
public class PostivieAsendingNegativeDesending implements Comparator<Integer> {
public static void main(String args[]) {
int fullList[] = {5, 4, 3, 2, 1, -3, -2, -30};
ArrayList<Integer> subList = new ArrayList<>();
ArrayList<Integer> subList2 = new ArrayList<>();
for (int i = 0; i < fullList.length; i++) {
if (fullList[i] < 0) {
subList2.add((fullList[i]));
} else {
subList.add(fullList[i]);
}
}
Collections.sort(subList);
Collections.sort(subList2, new PostivieAsendingNegativeDesending());
subList.addAll(subList2);
for (int i = 0; i < subList.size(); i++) {
System.out.print(subList.get(i) + " ");
}
System.out.println("");
}
#Override
public int compare(Integer n1, Integer n2) {
return n2 - n1;
}
}
This will do the trick which uses only basic loops
public static void main(String[] args) {
int a[] = { 5, 4, 3, 2, 1, -3, -2, -30 };
int length = a.length - 1;
int pos = 0, neg = 0;
// find total count of positive and negative numbers
for (int i = 0; i <= length; i++) {
if (a[i] < 0)
neg++;
else
pos++;
}
// initialize the arrays based on 'pos' and 'neg'
int posArr[] = new int[pos];
int negArr[] = new int[neg];
// store pos and neg values in the arrays
int countPos = 0, countNeg = 0;
for (int i = 0; i <= length; i++) {
if (a[i] < 0) {
negArr[countNeg] = a[i];
countNeg++;
} else {
posArr[countPos] = a[i];
countPos++;
}
}
// sort positive numbers
for (int i = 0; i < posArr.length - 1; i++) {
for (int j = 0; j < posArr.length - 1 - i; j++) {
if (posArr[j] > posArr[j + 1]) {
int swap = posArr[j];
posArr[j] = posArr[j + 1];
posArr[j + 1] = swap;
}
}
}
// sort negative numbers
for (int i = 0; i < negArr.length - 1; i++) {
for (int j = 0; j < negArr.length - 1 - i; j++) {
if (negArr[j] < negArr[j + 1]) {
int swap = negArr[j];
negArr[j] = negArr[j + 1];
negArr[j + 1] = swap;
}
}
}
// 1. print out posArr[] and then negArr[]
// or
// 2. merge them into another array and print
}
Logic is explained below :
Find total count of positive and negative numbers.
Create and store the positive and negative values in the respective arrays.
Sort positive array in ascending order.
Sort negative array in descending order.
Print out positive array followed by the negative array OR merge them into another and print.
I suggest another approach. You should try to formulate the rules to which the exact comparison must adhere.
Your requirement seem to have the following rules:
Positive numbers always come before negative numbers.
Positive numbers are ordered in ascending order.
Negative numbers are ordered in descending order. Yes, I said descending. Since higher numbers come before lower numbers, i.e. −2 is greater than −7.
Warning: you are using a nested for loop, which means that the process time will grow exponentially if the array becomes larger. The good news is: you don't need to nest a for loop into another for loop. I suggest writing a Comparator instead:
// The contract of Comparator's only method 'compare(i, j)' is that you
// return a negative value if i < j, a positive (nonzero) value if i > j and
// 0 if they are equal.
final Comparator<Integer> c = (i, j) -> { // I'm using a lambda expression,
// see footnote
// If i is positive and j is negative, then i must come first
if (i >= 0 && j < 0) {
return -1;
}
// If i is negative and j is positive, then j must come first
else if (i < 0 && j >= 0) {
return 1;
}
// Else, we can just subtract i from j or j from i, depending of whether
// i is negative or positive
else {
return (i < 0 ? j - i : i - j);
}
}
Your code could look like this:
int[] a = { 5, 4, 3, 2, 1, -3, -2, -30 };
int[] yourSortedIntArray = Arrays.stream(a)
.boxed()
.sorted(c) // Your Comparator, could also added inline, like
// .sorted((i, j) -> { ... })
.mapToInt(i -> i)
.toArray();
Lambda expressions are a new concept from Java 8. The Java Tutorials provide some valuable information.
I have a task, to remove duplicates in array, what by "remove" means to shift elements down by 1, and making the last element equal to 0,
so if I have int[] array = {1, 1, 2, 2, 3, 2}; output should be like:
1, 2, 3, 0, 0, 0
I tried this logic:
public class ArrayDuplicates {
public static void main(String[] args) {
int[] array = {1, 1, 2, 2, 3, 2};
System.out.println(Arrays.toString(deleteArrayDuplicates(array)));
}
public static int[] deleteArrayDuplicates(int[] array) {
for (int i = 0; i < array.length; i++) {
for (int j = i + 1; j < array.length; j++) {
if (array[i] == array[j]) { //this is for comparing elements
for (; i > 0; i--) {
array[j + 1] = array[j]; //this is for shifting
}
array[array.length - 1] = 0; //making last element equal to "0"
}
}
}
return array;
}
}
But it doesn't work.. Is anyone familiar with a right solution?
I appreciate your assistance and attention very much.
Your Code:
In short, the approach you have chosen calls for a third loop variable, k, to represent the index that is currently being shifted left by 1 position.
i - the current unique item's position
j - the current position being tested for equality with unique item at i
k - the current position being shifted left due to erasure at j
Suggestion:
A more efficient approach would be to eliminate the repetitive left shifting which occurs each time a duplicate is found and instead keep track of an offset based on the number of duplicates found:
private static int[] deleteArrayDuplicates(int[] array) {
int dupes = 0; // total duplicates
// i - the current unique item's position
for (int i = 0; i < array.length - 1 - dupes; i++) {
int idupes = 0; // duplicates for current value of i
// j - the current position being tested for equality with unique item at i
for (int j = i + 1; j < array.length - dupes; j++) {
if (array[i] == array[j]) {
idupes++;
dupes++;
} else if(idupes > 0){
array[j-idupes] = array[j];
}
}
}
if(dupes > 0) {
Arrays.fill(array, array.length-dupes, array.length, 0);
}
return array;
}
This has similar complexity to the answer posted by dbl, although it should be slightly faster due to eliminating some extra loops at the end. Another advantage is that this code doesn't rely on any assumptions that the input should not contain zeroes, unlike that answer.
#artshakhov:
Here is my approach, which is pretty much close enough to what you've found but using a bit fewer operations...
private static int[] deleteArrayDuplicates(int[] array) {
for (int i = 0; i < array.length - 1; i++) {
if (array[i] == NEUTRAL) continue; //if zero is a valid input value then don't waste time with it
int idx = i + 1; //no need for third cycle, just use memorization for current shifting index.
for (int j = i + 1; j < array.length; j++) {
if (array[i] == array[j]) {
array[j] = NEUTRAL;
} else {
array[idx++] = array[j];
}
}
}
return array;
}
I just wrote the following code to answer your question. I tested it and I am getting the output you expected. If there are any special cases I may have missed, I apologize but it seemed to work for a variety of inputs including yours.
The idea behind is that we will be using a hash map to keep track if we have already seen a particular element in our array as we are looping through the array. If the map already contains that element- meaning we have already seen that element in our array- we just keep looping. However, if it is our first time seeing that element, we will update the element at the index where j is pointing to the element at the index where i is pointing to and then increment j.
So basically through the j pointer, we are able to move all the distinct elements to the front of the array while also making sure it is in the same order as it is in our input array.
Now after the first loop, our j pointer points to the first repeating element in our array. We can just set i to j and loop through the rest of the array, making them zero.
The time complexity for this algorithm is O(N). The space complexity is O(N) because of the hash table. There is probably a way to do this in O(N) time, O(1) space.
public static int[] deleteArrayDuplicates(int[] array) {
Map<Integer, Integer> map = new HashMap<Integer, Integer>();
int j = 0;
for (int i = 0; i < array.length; i++) {
if (map.containsKey(array[i])) {
continue;
}
else {
map.put(array[i],1);
array[j] = array[i];
j++;
}
}
for (int i = j; i < array.length; i++) {
array[i] = 0;
}
return array;
}
Let me know if you have additional questions.
Spent a couple of hours trying to find a solution for my own, and created something like this:
public static int[] deleteArrayDuplicates(int[] array) {
for (int i = 0; i < array.length; i++) {
for (int j = i + 1; j < array.length; j++) {
if (array[j] == array[i]) { //this is for comparing elements
int tempIndex = j;
while (tempIndex + 1 < array.length) {
array[tempIndex] = array[tempIndex + 1]; //this is for shifting elements down/left by "1"
array[array.length - 1] = 0; //making last element equal to "0"
tempIndex++;
}
}
}
}
return array;
}
Code is without any API-helpers, but seems like is working now.
Try this:
public static void main(String[] args)
{
int a[]={1,1,1,2,3,4,5};
int b[]=new int[a.length];
int top=0;
for( int i : a )
{
int count=0;
for(int j=0;j<top;j++)
{
if(i == b[j])
count+=1;
}
if(count==0)
{
b[top]=i;
top+=1;
}
}
for(int i=0 ; i < b.length ; i++ )
System.out.println( b[i] );
}
Explanation:
Create an another array ( b ) of same size of the given array.Now just include only the unique elements in the array b. Add the elements of array a to array b only if that element is not present in b.
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
public class StackOverFlow {
public static void main(String[] args) {
int[] array = {1, 1, 2, 2, 3, 2};
Set<Integer> set=new HashSet<>();
for (int anArray : array) {
set.add(anArray);
}
int[] a=new int[array.length];
int i=0;
for (Integer s:set) {
a[i]=s;
i++;
}
System.out.println(Arrays.toString(a));
}
}
Hope this simple one may help you.
Make use of Set which doesn't allow duplicates.
We can use ARRAYLIST and Java-8 Streams features to get the output.
public static int[] deleteArrayDuplicates(int[] array) {
List<Integer> list = new ArrayList(Arrays.stream(array).boxed().distinct().collect(Collectors.toList()));
for (int i = 0; i < array.length; i++) {
if (i < list.size()) {
array[i] = list.get(i);
} else {
array[i] = 0;
}
}
return array;
}
OUTPUT
[1, 2, 3, 0, 0, 0]
OK, so I found this question from a few days ago but it's on hold and it won't let me post anything on it.
***Note: The values or order in the array are completely random. They should also be able to be negative.
Someone recommended this code and was thumbed up for it, but I don't see how this can solve the problem. If one of the least occurring elements isn't at the BEGINNING of the array then this does not work. This is because the maxCount will be equal to array.length and the results array will ALWAYS take the first element in the code written below.
What ways are there to combat this, using simple java such as below? No hash-maps and whatnot. I've been thinking about it for a while but can't really come up with anything. Maybe using a double array to store the count of a certain number? How would you solve this? Any guidance?
public static void main(String[] args)
{
int[] array = { 1, 2, 3, 3, 2, 2, 4, 4, 5, 4 };
int count = 0;
int maxCount = 10;
int[] results = new int[array.length];
int k = 0; // To keep index in 'results'
// Initializing 'results', so when printing, elements that -1 are not part of the result
// If your array also contains negative numbers, change '-1' to another more appropriate
for (int i = 0; i < results.length; i++) {
results[i] = -1;
}
for (int i = 0; i < array.length; i++) {
for (int j = 0; j < array.length; j++) {
if (array[j] == array[i]) {
count++;
}
}
if (count <= maxCount) { // <= so it admits number with the SAME number of occurrences
maxCount = count;
results[k++] = array[i]; // Add to 'results' and increase counter 'k'
}
count = 0; // Reset 'count'
}
// Printing result
for (int i : results) {
if (i != -1) {
System.out.println("Element: " + i + ", Number of occurences: " + maxCount);
}
}
}
credit to: https://stackoverflow.com/users/2670792/christian
for the code
I can't thumbs up so I'd just like to say here THANKS EVERYONE WHO ANSWERED.
You can also use an oriented object approach.
First create a class Pair :
class Pair {
int val;
int occ;
public Pair(int val){
this.val = val;
this.occ = 1;
}
public void increaseOcc(){
occ++;
}
#Override
public String toString(){
return this.val+"-"+this.occ;
}
}
Now here's the main:
public static void main(String[] args) {
int[] array = { 1,1, 2, 3, 3, 2, 2, 6, 4, 4, 4 ,0};
Arrays.sort(array);
int currentMin = Integer.MAX_VALUE;
int index = 0;
Pair[] minOcc = new Pair[array.length];
minOcc[index] = new Pair(array[0]);
for(int i = 1; i < array.length; i++){
if(array[i-1] == array[i]){
minOcc[index].increaseOcc();
} else {
currentMin = currentMin > minOcc[index].occ ? minOcc[index].occ : currentMin;
minOcc[++index] = new Pair(array[i]);
}
}
for(Pair p : minOcc){
if(p != null && p.occ == currentMin){
System.out.println(p);
}
}
}
Which outputs:
0-1
6-1
Explanation:
First you sort the array of values. Now you iterate through it.
While the current value is equals to the previous, you increment the number of occurences for this value. Otherwise it means that the current value is different. So in this case you create a new Pair with the new value and one occurence.
During the iteration you will keep track of the minimum number of occurences you seen.
Now you can iterate through your array of Pair and check if for each Pair, it's occurence value is equals to the minimum number of occurences you found.
This algorithm runs in O(nlogn) (due to Arrays.sort) instead of O(n²) for your previous version.
This algorithm is recording the values having the least number of occurrences so far (as it's processing) and then printing all of them alongside the value of maxCount (which is the count for the value having the overall smallest number of occurrences).
A quick fix is to record the count for each position and then only print those whose count is equal to the maxCount (which I've renamed minCount):
public static void main(String[] args) {
int[] array = { 5, 1, 2, 2, -1, 1, 5, 4 };
int[] results = new int[array.length];
int minCount = Integer.MAX_VALUE;
for (int i = 0; i < array.length; i++) {
for (int j = 0; j < array.length; j++) {
if (array[j] == array[i]) {
results[i]++;
}
}
if (results[i] <= minCount) {
minCount = results[i];
}
}
for (int i = 0; i < results.length; i++) {
if (results[i] == minCount) {
System.out.println("Element: " + i + ", Number of occurences: "
+ minCount);
}
}
}
Output:
Element: 4, Number of occurences: 1
Element: 7, Number of occurences: 1
This version is also quite a bit cleaner and removes a bunch of unnecessary variables.
This is not as elegant as Iwburks answer, but I was just playing around with a 2D array and came up with this:
public static void main(String[] args)
{
int[] array = { 3, 3, 3, 2, 2, -4, 4, 5, 4 };
int count = 0;
int maxCount = Integer.MAX_VALUE;
int[][] results = new int[array.length][];
int k = 0; // To keep index in 'results'
for (int i = 0; i < array.length; i++) {
for (int j = 0; j < array.length; j++) {
if (array[j] == array[i]) {
count++;
}
}
if (count <= maxCount) {
maxCount = count;
results[k++] = new int[]{array[i], count};
}
count = 0; // Reset 'count'
}
// Printing result
for (int h = 0; h < results.length; h++) {
if (results[h] != null && results[h][1] == maxCount ) {
System.out.println("Element: " + results[h][0] + ", Number of occurences: " + maxCount);
}
}
Prints
Element: -4, Number of occurences: 1
Element: 5, Number of occurences: 1
In your example above, it looks like you are only using ints. I would suggest the following solution in that situation. This will find the last number in the array with the least occurrences. I assume you don't want an object-oriented approach either.
int [] array = { 5, 1, 2, 40, 2, -1, 3, 2, 5, 4, 2, 40, 2, 1, 4 };
//initialize this array to store each number and a count after it so it must be at least twice the size of the original array
int [] countArray = new int [array.length * 2];
//this placeholder is used to check off integers that have been counted already
int placeholder = Integer.MAX_VALUE;
int countArrayIndex = -2;
for(int i = 0; i < array.length; i++)
{
int currentNum = array[i];
//do not process placeholders
if(currentNum == placeholder){
continue;
}
countArrayIndex = countArrayIndex + 2;
countArray[countArrayIndex] = currentNum;
int count = 1; //we know there is at least one occurence of this number
//loop through each preceding number
for(int j = i + 1; j < array.length; j++)
{
if(currentNum == array[j])
{
count = count + 1;
//we want to make sure this number will not be counted again
array[j] = placeholder;
}
}
countArray[countArrayIndex + 1] = count;
}
//In the code below, we loop through inspecting each number and it's respected count to determine which one occurred least
//We choose Integer.MAX_VALUE because it's a number that easily indicates an error
//We did not choose -1 or 0 because these could be actual numbers in the array
int minNumber = Integer.MAX_VALUE; //actual number that occurred minimum amount of times
int minCount = Integer.MAX_VALUE; //actual amount of times the number occurred
for(int i = 0; i <= countArrayIndex; i = i + 2)
{
if(countArray[i+1] <= minCount){
minNumber = countArray[i];
minCount = countArray[i+1];
}
}
System.out.println("The number that occurred least was " + minNumber + ". It occured only " + minCount + " time(s).");