Develop Reference

Multiplicative Sum Solver not functioning

In a class I am taking, we are supposed to solve equations that look like this ([] = digit):
[][]*[][][]=[][][][]
Where each digit 1-9 can only be used once.
The one the code I have made is solving is [][]*[][][]=4396
I have code that is free of errors, but will not do the intended action
Disclaimer: The code does not check if the digits 1-9 are only used once, that is up for the human to decide (for now, please do not add this function in any example code)
Here is the code:
public class MK1
{
public static void main(String[] args)
{
//the full sum
long sum = 4396;
long guess = 10000, guessCopy, otherSum = 0;
short count = 0;
//the digits used to guess the number
long[] digits = new long[5];
while(guess <= 99999)
{
//sets the different indexes of digits[] to the digits of guess
guessCopy = guess;
count = 0;
while(guessCopy > 0)
{
digits[count] = (guessCopy % 10);
guessCopy = guessCopy / 10;
count++;
}
//determining if the guess is correct
otherSum = ((digits[4]*10) + digits[3]) * ((digits[2]*100) + (digits[1]*10) + digits[0]);
if(otherSum == sum)
{
//Print out digits that work
for(int i = 0; i > digits.length; i++)
{
System.out.println(digits[i]);
//print out the separation between different solutions
if(i == digits.length -1)
{
System.out.println("next possible solution");
}
}
}
//iterating the guess
guess++;
}
}
}

For one, your digits are backwards in your otherSum calculation line. Also, your loop to print digits has the wrong comparison sign, it should be i < digits.length. Here is working code you should replace in:
//determining if the guess is correct
otherSum = ((digits[0]*10) + digits[1]) * ((digits[2]*100) + (digits[3]*10) + digits[4]);
if(otherSum == sum)
{
//Print out digits that work
for(int i = 0; i < digits.length; i++)
{
System.out.println(digits[i]);
//print out the separation between different solutions
if(i == digits.length -1)
{
System.out.println("next possible solution");
}
}
}
You might also want to consider switching your output to look better, right now its very vertical and tough to interpret.

Why is code skipping over for loop in integer length program

Im trying to create a program to find the length of a given number. I thought i would do this by taking the number and dividing by 10 and then checking to see if the number was <= 0. I dident want to edit the global number so i created a instance version of the number and used that as the condition in the for loop.
So obviously this dident work so naturally i ended up looking in the debugger to figure out what was going on. It looks as if the program is completely skipping over the for loop any help would be appreciated.
public static void sumFirstAndLastDigit(int number) {
int numberLength = 0;
int instanceNumber = number;
for(int i = 0; instanceNumber <= 0; i++) {
instanceNumber /= 10;
numberLength = i;
}
System.out.println("Number length = " + numberLength);
// to find length of number loop division by 10
}
}
The program should use the for loop to keep dividing by 10 until the number is = to or less than than zero and for how many times the loop ran should be stored in the number length integer. In this case with the number 12321 the answer should be 6 but it prints 0.

You're telling it to loop while instanceNumber <= 0. The "test" in a for loop is a "keep going" test, not a termination test. The loop continues as long as the test is true.
From your description, you want instanceNumber > 0.
Also note Avinash Gupta's point that with your current code, you'll undercount by one. I'd address that by using a completely different loop:
int numberLength = 0;
int instanceNumber = number;
while (instanceNumber > 0) {
++numberLength;
instanceNumber /= 10;
}
That's nice and unambiguous: If instanceNumber > 0, it increments numberLength, then divides by 10 and tries again.

This will print the correct output
public static void sumFirstAndLastDigit(int number) {
int numberLength = 0;
int instanceNumber = number;
for(int i = 0; instanceNumber > 0; i++) {
instanceNumber /= 10;
numberLength = i;
}
System.out.println("Number length = " + (numberLength + 1));
}

Your code will be much more comprehensive if you use while loop for your algorithm.
public static void sumFirstAndLastDigit(int number) {
int numberLength = 0;
int instanceNumber = number;
while(instanceNumber != 0) {
instanceNumber /= 10;
numberLength += 1;
}
System.out.println("Number length = " + numberLength);
// to find length of number loop division by 10
}

Consider even more sophisticated solution:
public static void sumFirstAndLastDigit(int number) {
int numberLength = (int) (Math.log10(number) + 1);
System.out.println("Number length = " + numberLength);
}
Taken from Baeldung

Given a number n, list all n-digit numbers such that each number does not have repeating digits

I'm trying to solve the following problem. Given an integer, n, list all n-digits numbers such that each number does not have repeating digits.
For example, if n is 4, then the output is as follows:
0123
0124
0125
...
9875
9876
Total number of 4-digit numbers is 5040
My present approach is by brute-force. I can generate all n-digit numbers, then, using a Set, list all numbers with no repeating digits. However, I'm pretty sure there is a faster, better and more elegant way of doing this.
I'm programming in Java, but I can read source code in C.
Thanks

Mathematically, you have 10 options for the first number, 9 for the second, 8 for the 3rd, and 7 for the 4th. So, 10 * 9 * 8 * 7 = 5040.
Programmatically, you can generate these with some combinations logic. Using a functional approach usually keeps code cleaner; meaning build up a new string recursively as opposed to trying to use a StringBuilder or array to keep modifying your existing string.
Example Code
The following code will generate the permutations, without reusing digits, without any extra set or map/etc.
public class LockerNumberNoRepeats {
public static void main(String[] args) {
System.out.println("Total combinations = " + permutations(4));
}
public static int permutations(int targetLength) {
return permutations("", "0123456789", targetLength);
}
private static int permutations(String c, String r, int targetLength) {
if (c.length() == targetLength) {
System.out.println(c);
return 1;
}
int sum = 0;
for (int i = 0; i < r.length(); ++i) {
sum += permutations(c + r.charAt(i), r.substring(0,i) + r.substring(i + 1), targetLength);
}
return sum;
}
}
Output:
...
9875
9876
Total combinations = 5040
Explanation
Pulling this from a comment by #Rick as it was very well said and helps to clarify the solution.
So to explain what is happening here - it's recursing a function which takes three parameters: a list of digits we've already used (the string we're building - c), a list of digits we haven't used yet (the string r) and the target depth or length. Then when a digit is used, it is added to c and removed from r for subsequent recursive calls, so you don't need to check if it is already used, because you only pass in those which haven't already been used.

it's easy to find a formula. i.e.
if n=1 there are 10 variants.
if n=2 there are 9*10 variants.
if n=3 there are 8*9*10 variants.
if n=4 there are 7*8*9*10 variants.

Note the symmetry here:
0123
0124
...
9875
9876
9876 = 9999 - 123
9875 = 9999 - 124
So for starters you can chop the work in half.
It's possible that you might be able to find a regex which covers scenarios such that if a digit occurs twice in the same string then it matches/fails.
Whether the regex will be faster or not, who knows?
Specifically for four digits you could have nested For loops:
for (int i = 0; i < 10; i++) {
for (int j = 0; j < 10; j++) {
if (j != i) {
for (int k = 0; k < 10; k++) {
if ((k != j) && (k != i)) {
for (int m = 0; m < 10; m++) {
if ((m != k) && (m != j) && (m != i)) {
someStringCollection.add((((("" + i) + j) + k) + m));
(etc)
Alternatively, for a more generalised solution, this is a good example of the handy-dandy nature of recursion. E.g. you have a function which takes the list of previous digits, and required depth, and if the number of required digits is less than the depth just have a loop of ten iterations (through each value for the digit you're adding), if the digit doesn't exist in the list already then add it to the list and recurse. If you're at the correct depth just concatenate all the digits in the list and add it to the collection of valid strings you have.

Backtracking method is also a brute-force method.
private static int pickAndSet(byte[] used, int last) {
if (last >= 0) used[last] = 0;
int start = (last < 0) ? 0 : last + 1;
for (int i = start; i < used.length; i++) {
if (used[i] == 0) {
used[i] = 1;
return i;
}
}
return -1;
}
public static int get_series(int n) {
if (n < 1 || n > 10) return 0;
byte[] used = new byte[10];
int[] result = new int[n];
char[] output = new char[n];
int idx = 0;
boolean dirForward = true;
int count = 0;
while (true) {
result[idx] = pickAndSet(used, dirForward ? -1 : result[idx]);
if (result[idx] < 0) { //fail, should rewind.
if (idx == 0) break; //the zero index rewind failed， think all over.
dirForward = false;
idx --;
continue;
} else {//forward.
dirForward = true;
}
idx ++;
if (n == idx) {
for (int k = 0; k < result.length; k++) output[k] = (char)('0' + result[k]);
System.out.println(output);
count ++;
dirForward = false;
idx --;
}
}
return count;
}

All digits in int are divisible by certain int

I am trying to figure out how to count all numbers between two ints(a and b), where all of the digits are divisible with another int(k) and 0 counts as divisible.Here is what I've made so far, but it is looping forever.
for (int i = a; i<=b; i++){
while (i < 10) {
digit = i % 10;
if(digit % k == 0 || digit == 0){
count ++;
}
i = i / 10;
}
}
Also I was thinking about comparing if all of the digits were divisible by counting them and comparing with number of digits int length = (int)Math.Log10(Math.Abs(number)) + 1;
Any help would be appreciated. Thank you!

Once you get in to your while block you're never going to get out of it. The while condition is when i less than 10. You're dividing i by 10 at the end of the whole block. i will never have a chance of getting above 10.

Try this one
public class Calculator {
public static void main(String[] args) {
int a = 2;
int b = 150;
int k = 3;
int count = 0;
for (int i = a; i <= b; i++) {
boolean isDivisible = true;
int num = i;
while (num != 0) {
int digit = num % 10;
if (digit % k != 0) {
isDivisible = false;
break;
}
num /= 10;
}
if (isDivisible) {
count++;
System.out.println(i+" is one such number.");
}
}
System.out.println("Total " + count + " numbers are divisible by " + k);
}
}

Ok, so there are quite a few things going on here, so we'll take this a piece at a time.
for (int i = a; i <= b; i++){
// This line is part of the biggest problem. This will cause the
// loop to skip entirely when you start with a >= 10. I'm assuming
// this is not the case, as you are seeing an infinite loop - which
// will happen when a < 10, for reasons I'll show below.
while (i < 10) {
digit = i % 10;
if(digit % k == 0 || digit == 0){
count ++;
// A missing line here will cause you to get incorrect
// results. You don't terminate the loop, so what you are
// actually counting is every digit that is divisible by k
// in every number between a and b.
}
// This is the other part of the biggest problem. This line
// causes the infinite loop because you are modifying the
// variable you are using as the loop counter. Mutable state is
// tricky like that.
i = i / 10;
}
}
It's possible to re-write this with minimal changes, but there are some improvements you can make that will provide a more readable result. This code is untested, but does compile, and should get you most of the way there.
// Extracting this out into a function is often a good idea.
private int countOfNumbersWithAllDigitsDivisibleByN(final int modBy, final int start, final int end) {
int count = 0;
// I prefer += to ++, as each statement should do only one thing,
// it's easier to reason about
for (int i = start; i <= end; i += 1) {
// Pulling this into a separate function prevents leaking
// state, which was the bulk of the issue in the original.
// Ternary if adds 1 or 0, depending on the result of the
// method call. When the methods are named sensibly, I find
// this can be more readable than a regular if construct.
count += ifAllDigitsDivisibleByN(modBy, i) ? 1 : 0;
}
return count;
}
private boolean ifAllDigitsDivisibleByN(final int modBy, final int i) {
// For smaller numbers, this won't make much of a difference, but
// in principle, there's no real reason to check every instance of
// a particular digit.
for(Integer digit : uniqueDigitsInN(i)) {
if ( !isDigitDivisibleBy(modBy, digit) ) {
return false;
}
}
return true;
}
// The switch to Integer is to avoid Java's auto-boxing, which
// can get expensive inside of a tight loop.
private boolean isDigitDivisibleBy(final Integer modBy, final Integer digit) {
// Always include parens to group sub-expressions, forgetting the
// precedence rules between && and || is a good way to introduce
// bugs.
return digit == 0 || (digit % modBy == 0);
}
private Set<Integer> uniqueDigitsInN(final int number) {
// Sets are an easy and efficient way to cull duplicates.
Set<Integer> digitsInN = new HashSet<>();
for (int n = number; n != 0; n /= 10) {
digitsInN.add(n % 10);
}
return digitsInN;
}

How to count possible combination for coin problem

I am trying to implement a coin problem, Problem specification is like this
Create a function to count all possible combination of coins which can be used for given amount.
All possible combinations for given amount=15, coin types=1 6 7
1) 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
2) 1,1,1,1,1,1,1,1,1,6,
3) 1,1,1,1,1,1,1,1,7,
4) 1,1,1,6,6,
5) 1,1,6,7,
6) 1,7,7,
function prototype:
int findCombinationsCount(int amount, int coins[])
assume that coin array is sorted. for above example this function should return 6.
Anyone guide me how to implement this??

Use recursion.
int findCombinationsCount(int amount, int coins[]) {
return findCombinationsCount(amount, coins, 0);
}
int findCombinationsCount(int amount, int coins[], int checkFromIndex) {
if (amount == 0)
return 1;
else if (amount < 0 || coins.length == checkFromIndex)
return 0;
else {
int withFirstCoin = findCombinationsCount(amount-coins[checkFromIndex], coins, checkFromIndex);
int withoutFirstCoin = findCombinationsCount(amount, coins, checkFromIndex+1);
return withFirstCoin + withoutFirstCoin;
}
}
You should check this implementation though. I don't have a Java IDE here, and I'm a little rusty, so it may have some errors.

Although recursion can work and is often an assignment to implement in some college level courses on Algorithms & Data Structures, I believe the "dynamic programming" implementation is more efficient.
public static int findCombinationsCount(int sum, int vals[]) {
if (sum < 0) {
return 0;
}
if (vals == null || vals.length == 0) {
return 0;
}
int dp[] = new int[sum + 1];
dp[0] = 1;
for (int i = 0; i < vals.length; ++i) {
for (int j = vals[i]; j <= sum; ++j) {
dp[j] += dp[j - vals[i]];
}
}
return dp[sum];
}

You can use generating function methods to give fast algorithms, which use complex numbers.
Given the coin values c1, c2, .., ck, to get the number of ways to sum n, what you need is the coefficient of x^n in
(1 + x^c1 + x^(2c1) + x^(3c1) + ...)(1+x^c2 + x^(2c2) + x^(3c2) + ...)....(1+x^ck + x^(2ck) + x^(3ck) + ...)
Which is the same as finding the coefficient of x^n in
1/(1-x^c1) * 1/(1-x^c2) * ... * (1-x^ck)
Now using complex numbers, x^a - 1 = (x-w1)(x-w2)...(x-wa) where w1, w2 etc are the complex roots of unity.
So
1/(1-x^c1) * 1/(1-x^c2) * ... * (1-x^ck)
can be written as
1/(x-a1)(x-a2)....(x-am)
which can be rewritten using partial fractions are
A1/(x-a1) + A2/(x-a2) + ... + Am/(x-am)
The coefficient of x^n in this can be easily found:
A1/(a1)^(n+1) + A2/(a2)^(n+1) + ...+ Am/(am)^(n+1).
A computer program should easily be able to find Ai and ai (which could be complex numbers). Of course, this might involve floating point computations.
For large n, this will be probably faster than enumerating all the possible combinations.
Hope that helps.

Very simple with recursion:
def countChange(money: Int, coins: List[Int]): Int = {
def reduce(money: Int, coins: List[Int], accCounter: Int): Int = {
if(money == 0) accCounter + 1
else if(money < 0 || coins.isEmpty) accCounter
else reduce(money - coins.head, coins, accCounter) + reduce(money, coins.tail, accCounter)
}
if(money <= 0 || coins.isEmpty) 0
else reduce(money, coins, 0)
}
This is example in SCALA

Aryabhatta’s answer for
counting the number of ways to make change with coins of fixed
denominations is very cute but also impractical to implement as
described. Rather than use complex numbers, we’ll use modular
arithmetic, similar to how the number-theoretic transform replaces a
Fourier transform for multiplying integer polynomials.
Let D be the least common multiple of the coin denominations. By
Dirichlet’s theorem on arithmetic progressions, there exist infinitely
many prime numbers p such that D divides p - 1. (With any luck,
they’ll even be distributed in a way such that we can find them
efficiently.) We’ll compute the number of ways modulo some p
satisfying this condition. By obtaining a crude bound somehow (e.g.,
n + k - 1 choose k - 1 where n is the total and k is the number
of denominations), repeating this procedure with several different
primes whose product exceeds that bound, and applying the Chinese
remainder theorem, we can recover the exact number.
Test candidates 1 + k*D for integers k > 0 until we find a prime
p. Let g be a primitive root modulo p (generate candidates at
random and apply the standard test). For each denomination d, express
the polynomial x**d - 1 modulo p as a product of factors:
x**d - 1 = product from i=0 to d-1 of (x - g**((p-1)*i/d)) [modulo p].
Note that d divides D divides p-1, so the exponent indeed is an
integer.
Let m be the sum of denominations. Gather all of the constants
g**((p-1)*i/d) as a(0), ..., a(m-1). The next step is to find a
partial fraction decomposition A(0), ..., A(m-1) such that
sign / product from j=0 to m-1 of (a(j) - x) =
sum from j=0 to m-1 of A(j)/(a(j) - x) [modulo p],
where sign is 1 if there are an even number of denominations and
-1 if there are an odd number of denominations. Derive a system of
linear equations for A(j) by evaluating both sides of the given
equation for different values of x, then solve it with Gaussian
elimination. Life gets complicated if there are duplicates; it's probably easiest just to pick another prime.
Given this setup, we can compute the number of ways (modulo p, of
course) to make change amounting to n as
sum from j=0 to m-1 of A(j) * (1/a(j))**(n+1).

The recursive solutions mentioned will work, but they're going to be horrendously slow if you add more coin denominations and/or increase the target value significantly.
What you need to speed it up is to implement a dynamic programming solution. Have a look at the knapsack problem. You can adapt the DP solution mentioned there to solve your problem by keeping a count of the number of ways a total can be reached rather than the minimum number of coins required.

package algorithms;
import java.util.Random;
/**`enter code here`
* Owner : Ghodrat Naderi
* E-Mail: Naderi.ghodrat#gmail.com
* Date : 10/12/12
* Time : 4:50 PM
* IDE : IntelliJ IDEA 11
*/
public class CoinProblem
{
public static void main(String[] args)
{
int[] coins = {1, 3, 5, 10, 20, 50, 100, 200, 500};
int amount = new Random().nextInt(10000);
int coinsCount = 0;
System.out.println("amount = " + amount);
int[] numberOfCoins = findNumberOfCoins(coins, amount);
for (int i = 0; i < numberOfCoins.length; i++)
{
if (numberOfCoins[i] > 0)
{
System.out.println("coins= " + coins[i] + " Count=" + numberOfCoins[i] + "\n");
coinsCount += numberOfCoins[i];
}
}
System.out.println("numberOfCoins = " + coinsCount);
}
private static int[] findNumberOfCoins(int[] coins, int amount)
{
int c = coins.length;
int[] numberOfCoins = new int[coins.length];
while (amount > 0)
{
c--;
if (amount >= coins[c])
{
int quotient = amount / coins[c];
amount = amount - coins[c] * quotient;
numberOfCoins[c] = quotient;
}
}
return numberOfCoins;
}
}

A recursive solution might be the right answer here:
int findCombinationsCount(int amount, int coins[])
{
// I am assuming amount >= 0, coins.length > 0 and all elements of coins > 0.
if (coins.length == 1)
{
return amount % coins[0] == 0 ? 1 : 0;
}
else
{
int total = 0;
int[] subCoins = arrayOfCoinsExceptTheFirstOne(coins);
for (int i = 0 ; i * coins[0] <= amount ; ++i)
{
total += findCombinationsCount(amount - i * coins[0], subCoins);
}
return total;
}
}
Warning: I haven't tested or even compiled the above.

The solution provided by #Jordi is nice but runs extremely slow. You can try input 600 to that solution and see how slow it is.
My idea is to use bottom-up dynamic programming.
Note that generally, the possible combination for money=m and coins{a,b,c} equals combination for
m-c and coins{a,b,c} (with coin c)
combination for m and coins{a,b} (without coin c).
If no coins are available or available coins can not cover the required amount of money, it should fill in 0 to the block accordingly. If the amount of money is 0, it should fill in 1.
public static void main(String[] args){
int[] coins = new int[]{1,2,3,4,5};
int money = 600;
int[][] recorder = new int[money+1][coins.length];
for(int k=0;k<coins.length;k++){
recorder[0][k] = 1;
}
for(int i=1;i<=money;i++){
//System.out.println("working on money="+i);
int with = 0;
int without = 0;
for(int coin_index=0;coin_index<coins.length;coin_index++){
//System.out.println("working on coin until "+coins[coin_index]);
if(i-coins[coin_index]<0){
with = 0;
}else{
with = recorder[i-coins[coin_index]][coin_index];
}
//System.out.println("with="+with);
if(coin_index-1<0){
without = 0;
}else{
without = recorder[i][coin_index-1];
}
//System.out.println("without="+without);
//System.out.println("result="+(without+with));
recorder[i][coin_index] = with+without;
}
}
System.out.print(recorder[money][coins.length-1]);
}

This code is based on the solution provided by JeremyP which is working perfect and I just enhanced it to optimize the performance by using dynamic programming.I couldn't comment on the JeremyP post because I don't have enough reputation :)
public static long makeChange(int[] coins, int money) {
Long[][] resultMap = new Long[coins.length][money+1];
return getChange(coins,money,0,resultMap);
}
public static long getChange(int[] coins, int money, int index,Long[][] resultMap) {
if (index == coins.length -1) // if we are at the end
return money%coins[index]==0? 1:0;
else{
//System.out.printf("Checking index %d and money %d ",index,money);
Long storedResult =resultMap[index][money];
if(storedResult != null)
return storedResult;
long total=0;
for(int coff=0; coff * coins[index] <=money; coff ++){
total += getChange(coins, money - coff*coins[index],index +1,resultMap);
}
resultMap[index][money] = total;
return total;
}
}

First idea:
int combinations = 0;
for (int i = 0; i * 7 <=15; i++) {
for (int j = 0; j * 6 + i * 7 <= 15; j++) {
combinations++;
}
}
(the '<=' is superfluous in this case, but is needed for a more general solution, if you decide to change your parameters)

Below is recursion with memoization java solution. for below one we have 1,2,3,5 as coins and 200 as the target amount.
countCombinations(200,new int[]{5,2,3,1} , 0, 0,new Integer[6][200+5]);
static int countCombinations(Integer targetAmount, int[] V,int currentAmount, int coin, Integer[][] memory){
//Comment below if block if you want to see the perf difference
if(memory[coin][currentAmount] != null){
return memory[coin][currentAmount];
}
if(currentAmount > targetAmount){
memory[coin][currentAmount] = 0;
return 0;
}
if(currentAmount == targetAmount){
return 1;
}
int count = 0;
for(int selectedCoin : V){
if(selectedCoin >= coin){
count += countCombinations(targetAmount, V, currentAmount+selectedCoin, selectedCoin,memory);
}
}
memory[coin][currentAmount] = count;
return count;
}

#include<iostream>
using namespace std;
int solns = 0;
void countComb(int* arr, int low, int high, int Val)
{
bool b = false;
for (size_t i = low; i <= high; i++)
{
if (Val - arr[i] == 0)
{
solns++;
break;
}
else if (Val - arr[i] > 0)
countComb(arr, i, high, Val - arr[i]);
}
}
int main()
{
int coins[] = { 1,2,5 };
int value = 7;
int arrSize = sizeof(coins) / sizeof(int);
countComb(coins,0, arrSize,value);
cout << solns << endl;
return 0;
}

Again using recursion a tested solution, though probably not the most elegant code. (note it returns the number of each coin to use rather than repeating the actual coin ammount n times).
public class CoinPerm {
#Test
public void QuickTest() throws Exception
{
int ammount = 15;
int coins[] = {1,6,7};
ArrayList<solution> solutionList = SolvePerms(ammount, coins);
for (solution sol : solutionList)
{
System.out.println(sol);
}
assertTrue("Wrong number of solutions " + solutionList.size(),solutionList.size() == 6);
}
public ArrayList<solution> SolvePerms(int ammount, int coins[]) throws Exception
{
ArrayList<solution> solutionList = new ArrayList<solution>();
ArrayList<Integer> emptyList = new ArrayList<Integer>();
solution CurrentSolution = new solution(emptyList);
GetPerms(ammount, coins, CurrentSolution, solutionList);
return solutionList;
}
private void GetPerms(int ammount, int coins[], solution CurrentSolution, ArrayList<solution> mSolutions) throws Exception
{
int currentCoin = coins[0];
if (currentCoin <= 0)
{
throw new Exception("Cant cope with negative or zero ammounts");
}
if (coins.length == 1)
{
if (ammount % currentCoin == 0)
{
CurrentSolution.add(ammount/currentCoin);
mSolutions.add(CurrentSolution);
}
return;
}
// work out list with one less coin.
int coinsDepth = coins.length;
int reducedCoins[] = new int[(coinsDepth -1 )];
for (int j = 0; j < coinsDepth - 1;j++)
{
reducedCoins[j] = coins[j+1];
}
// integer rounding okay;
int numberOfPerms = ammount / currentCoin;
for (int j = 0; j <= numberOfPerms; j++)
{
solution newSolution = CurrentSolution.clone();
newSolution.add(j);
GetPerms(ammount - j * currentCoin,reducedCoins, newSolution, mSolutions );
}
}
private class solution
{
ArrayList<Integer> mNumberOfCoins;
solution(ArrayList<Integer> anumberOfCoins)
{
mNumberOfCoins = anumberOfCoins;
}
#Override
public String toString() {
if (mNumberOfCoins != null && mNumberOfCoins.size() > 0)
{
String retval = mNumberOfCoins.get(0).toString();
for (int i = 1; i< mNumberOfCoins.size();i++)
{
retval += ","+mNumberOfCoins.get(i).toString();
}
return retval;
}
else
{
return "";
}
}
#Override
protected solution clone()
{
return new solution((ArrayList<Integer>) mNumberOfCoins.clone());
}
public void add(int i) {
mNumberOfCoins.add(i);
}
}
}

Dynamic Programming Solution
Given an array of denominations D = {d1, d2, d3, ... , dm} and a target amount W. Note that D doesn't need to be sorted.
Let T(i, j) be the number of combinations that make up amount j using only denominations on the left of the ith one (can include itself) in D.
We have:
T(0, 0) = 1 : since the amount is 0, there is only 1 valid combination that makes up 0, which is the empty set.
T(i, j) = T(i - 1, j) if D[i] > j
T(i, j) = T(i - 1, j) + T(i, j - D[i]) if D[i] <= j
public int change(int amount, int[] coins) {
int m = coins.length;
int n = amount;
int[][] dp = new int[m + 1][n + 1];
dp[0][0] = 1;
for (int i = 1; i <= m; i++) {
for (int j = 0; j <= n; j++) {
if (j < coins[i - 1]) {
dp[i][j] = dp[i - 1][j];
}
else {
dp[i][j] = dp[i - 1][j] + dp[i][j - coins[i - 1]];
}
}
}
return dp[m][n];
}

public static void main(String[] args) {
int b,c,total = 15;
int combos =1;
for(int d=0;d<total/7;d++)
{
b = total - d * 7;
for (int n = 0; n <= b /6; n++)
{
combos++;
}
}
System.out.print("TOTAL COMBINATIONS = "+combos);
}

Below is a recursive backtracking solution I created, It lists and counts all possible combination of denominations (coins) that would add up to a given amount.
Both denominations and the amounts can be dynamic
public class CoinComboGenerate {
public static final int[] DENO = {1,6,7};
public static final int AMOUNT = 15;
public static int count = 0;
public static void change(int amount) {
change(amount, new ArrayList<>(),0);
}
private static void change(int rem, List<Integer> coins, int pos) {
if (rem == 0) {
count++;
System.out.println(count+")"+coins);
return;
}
while(pos<DENO.length){
if (rem >= DENO[pos]) {
coins.add(DENO[pos]);
change(rem - DENO[pos], coins,pos);
coins.remove(coins.size() - 1); //backtrack
}
pos++;
}
}
public static void main(String[] args) {
change(AMOUNT);
}
}
Output:
1)[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
2)[1, 1, 1, 1, 1, 1, 1, 1, 1, 6]
3)[1, 1, 1, 1, 1, 1, 1, 1, 7]
4)[1, 1, 1, 6, 6]
5)[1, 1, 6, 7]
6)[1, 7, 7]

The same problem for coins(1,5,10,25,50) has one of below solutions.
The solution should satisfy below equation:
1*a + 5*b + 10*c + 25*d + 50*e == cents
public static void countWaysToProduceGivenAmountOfMoney(int cents) {
for(int a = 0;a<=cents;a++){
for(int b = 0;b<=cents/5;b++){
for(int c = 0;c<=cents/10;c++){
for(int d = 0;d<=cents/25;d++){
for(int e = 0;e<=cents/50;e++){
if(1*a + 5*b + 10*c + 25*d + 50*e == cents){
System.out.println("1 cents :"+a+", 5 cents:"+b+", 10 cents:"+c);
}
}
}
}
}
}
}
This can be modified for any general solutions.