So I wrote this function that behaves like Knuth's Algorithm X. Just for illustration - the function requires a large matrix of possible rows among which it tries to select the combination of the ones that make up for a legitimate solution.
The thing is, once we found the solution, since its void, the function doesn't return anything and instead just backtracks up (which consequently means it prints out sudoku for every level in the recursion depth).
Any suggestions on how to end the function the moment the solution is found? I am currently using System.exit(0) but that isn't nice since the program then ends the moment you find the solution (so anything you want to do afterwards is impossible - for example run the function on array of sudokus and solve each one).
The code is here:
public static void solve(ArrayList<int[]> solution, ArrayList<int[]> coverMatrix) {
if (Arrays.equals(solvedCase, workCase)) {
//this means we found the solution
drawSudoku(testOutput);
System.exit(0);
} else {
//find the column we didnt yet cover
int nextColToCover = findSMARTUnsatisfiedConstraint(coverMatrix, workCase);
//get all the rows that MIGHT solve this problem
ArrayList<int[]> rows = matchingRows(coverMatrix, nextColToCover);
//recusively try going down every one of them
for (int i = 0; i < rows.size(); i++) {
//we try this row as solution
solution.add(rows.get(i));
//we remove other rows that cover same columns (and create backups as well)
removeOtherRowsAndAdjustSolutionSet(coverMatrix);
if (isSolutionPossible(coverMatrix)) {
solve(solution, coverMatrix);
}
// here the backtracking occurs if algorithm can't proceed
// if we the solution exists, do not rebuild the data structure
if (!Arrays.equals(solvedCase, workCase)) {
restoreTheCoverMatrix(coverMatrix);
}
}
}
}
If I understand you correctly, you want to end recursion when you got the first solution. You can achieve this by having boolean return type for the method, and return true when you get first solution :.
public static boolean solve(ArrayList<int[]> solution, ArrayList<int[]> coverMatrix) {
if (Arrays.equals(solvedCase, workCase)) {
//this means we found the solution
drawSudoku(testOutput);
return true;
} else {
//find the column we didnt yet cover
int nextColToCover = findSMARTUnsatisfiedConstraint(coverMatrix, workCase);
//get all the rows that MIGHT solve this problem
ArrayList<int[]> rows = matchingRows(coverMatrix, nextColToCover);
//recusively try going down every one of them
for (int i = 0; i < rows.size(); i++) {
//we try this row as solution
solution.add(rows.get(i));
//we remove other rows that cover same columns (and create backups as well)
removeOtherRowsAndAdjustSolutionSet(coverMatrix);
if (isSolutionPossible(coverMatrix)) {
boolean result = solve(solution, coverMatrix);
if(result == true) return result;//else continue
}
// here the backtracking occurs if algorithm can't proceed
// if we the solution exists, do not rebuild the data structure
if (!Arrays.equals(solvedCase, workCase)) {
restoreTheCoverMatrix(coverMatrix);
}
}
return false;
}
}
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