I have to create a program that finds all the possible ways of filling a square of size x by y. You place a block which takes up 2 spaces to completely fill.
The problem is I don't know how to code it to the point where you can remember the placements of each square. I can get it to where it fills the board completely once and maybe twice, but nothing past that. I also know that I'm supposed to use recursion to figure this out . Here is the code I started on so far. There is also a main method and I have the initial even/odd check working fine. This is the part I have no idea on.
public void recurDomino(int row, int column) {
if (Board[2][x - 1] != false) {
} else if(Board[1][x-1]!=false)
{
}
else {
for (int n=0; n < x - 1; n++) {
Board[row][column] = true;
Board[row][column+1] = true;
column++;
counter++;
}
recurDomino(1, 0);
recurDomino(2, 0);
}
}
Thank you for any help you guys can give me.
******************* EDIT ****************************************
I am a little confused still. I came up with this algorithm but I always get 2 for any value greater or equal to 2.
public boolean tryHorizontal(int row , int col){
if( row < 0 || row >= array[0].length-1)
return false;
else
return true;
}
public boolean tryVertical(int row, int col){
if( col < 0 || col >= 2 )
return false;
else
return true;
}
public boolean tryRowCol(int row, int col){
if(this.tryHorizontal(row, col) && this.tryVertical(row, col)){
return true;
}
else
return false;
}
public int findWays(int row, int col){
int n = 0;
if( !this.tryRowCol(row, col))
return 0;
else
n =+ 1 + this.findWays(row+1, col+1);
return n;
}
This recursive solution actually generates all the possible tiling of a general MxN board. It's more general than what your program requires, and therefore not optimized to just count the number of tiling of a 3xN board.
If you just want to count how many there are, you can use dynamic programming techniques and do this much faster. Also, having the number of rows fixed at 3 actually makes the problem considerably easier. Nonetheless, this general generative solution should be instructive.
public class Domino {
final int N;
final int M;
final char[][] board;
int count;
static final char EMPTY = 0;
Domino(int M, int N) {
this.M = M;
this.N = N;
board = new char[M][N]; // all EMPTY
this.count = 0;
generate(0, 0);
System.out.println(count);
}
void printBoard() {
String result = "";
for (char[] row : board) {
result += new String(row) + "\n";
}
System.out.println(result);
}
void generate(int r, int c) {
//... see next code block
}
public static void main(String[] args) {
new Domino(6, 6);
}
}
So here's the meat and potatoes:
void generate(int r, int c) {
// find next empty spot in column-major order
while (c < N && board[r][c] != EMPTY) {
if (++r == M) {
r = 0;
c++;
}
}
if (c == N) { // we're done!
count++;
printBoard();
return;
}
if (c < N - 1) {
board[r][c] = '<';
board[r][c+1] = '>';
generate(r, c);
board[r][c] = EMPTY;
board[r][c+1] = EMPTY;
}
if (r < M - 1 && board[r+1][c] == EMPTY) {
board[r][c] = 'A';
board[r+1][c] = 'V';
generate(r, c);
board[r][c] = EMPTY;
board[r+1][c] = EMPTY;
}
}
This excerpt from the last few lines of the output gives an example of a generated board, and the final count.
//... omitted
AA<><>
VVAA<>
AAVV<>
VVAA<>
<>VVAA
<><>VV
//... omitted
6728
Note that 6728 checks out with OEIS A004003.
A few things that you need to learn from this solutions are:
Clean-up after yourself! This is a very common pattern in recursive solution that modifies a mutable shared data. Feel free to do your thing, but then leave things as you found them, so others can do their thing.
Figure out a systematic way to explore the search space. In this case, dominoes are placed in column-major order, with its top-left corner as the reference point.
So hopefully you can learn something from this and adapt the techniques for your homework. Good luck!
Tip: if you comment out the printBoard line, you can generate all ~13 million boards for 8x8 in reasonable time. It'll definitely be much faster to just compute the number without having to generate and count them one by one, though.
Update!
Here's a recursive generator for 3xN boards. It doesn't use a shared mutable array, it just uses immutable strings instead. It makes the logic simpler (no clean up since you didn't make a mess!) and the code more readable (where and how the pieces are placed is visible!).
Since we're fixed at 3 rows, the logic is more explicit if we just have 3 mutually recursive functions.
public class Domino3xN {
static int count = 0;
public static void main(String[] args) {
addRow1(8, "", "", "");
System.out.println(count);
}
static void addRow1(int N, String row1, String row2, String row3) {
if (row1.length() == N && row2.length() == N && row3.length() == N) {
count++; // found one!
System.out.format("%s%n%s%n%s%n%n", row1, row2, row3);
return;
}
if (row1.length() > row2.length()) { // not my turn!
addRow2(N, row1, row2, row3);
return;
}
if (row1.length() < N - 1)
addRow2(N, row1 + "<>",
row2,
row3);
if (row2.length() == row1.length())
addRow3(N, row1 + "A",
row2 + "V",
row3);
}
static void addRow2(int N, String row1, String row2, String row3) {
if (row2.length() > row3.length()) { // not my turn!
addRow3(N, row1, row2, row3);
return;
}
if (row2.length() < N - 1)
addRow3(N, row1,
row2 + "<>",
row3);
if (row3.length() == row2.length())
addRow1(N, row1,
row2 + "A",
row3 + "V");
}
static void addRow3(int N, String row1, String row2, String row3) {
if (row3.length() == row2.length()) { // not my turn!
addRow1(N, row1, row2, row3);
return;
}
if (row3.length() < N - 1)
addRow1(N, row1,
row2,
row3 + "<>");
}
}
You don't often see 3 mutually recursive functions like this, so this should be educational.
One way of doing it is with the CSP (Constraint Satisfaction Problem) approach:
Consider every cell in the grid to be a variable, with 4 possible values (indicating the part of the domino it takes). Some assignments are obviously illegal. Legal assignments assign values to a "neighboring variable" as well. Your goal is to assign all the 3xN variables with legal values.
The recursion here can help you cover the state space easily. On each invocation, you try to assign a value to the next unasigned cell, by trying all the 4 options. After each successfull assignment, you can call the same method recursively, and then undo your last assignment (this way you don't have to clone anything - one copy of the grid data is enough).
--EDIT--
If you want to do it efficiently so that it works for large values on N in reasonable time, you will also have to think about optimizations, in order to discard some assignment attempts.
Here are some hints:
With a fixed-size board you can precompute the exact number of steps that each solution takes, so the termination criterion is trivial: you just check the nesting level.
Starting from one corner is a good idea, because it means that you can always find a field that can only be covered in two different ways (vertically or horizontally).
That means that you have a branching factor of only 2, and a recursion depth of 3*N/2, which is probably small enough that you can just clone the sstate of the board for each call (ordinarily you would construct new states incrementally from existing states to save space, but that is a bit harder to program).
In many states here will be more than one field that allows only two possibilities; with a clever strategy for choosing the next field, you can ensure that you will never find the same solution via two different paths, so you don't even have to check the solutions for duplicates.
The state of the board must record which fields are free and which fields are occupied, but also which fields are occupied by the same domino, so an array of int could do the trick.
Related
how do I transform this into a if else statement? im stuck in one part with the comment below. I would like to separate knapsack() into if statements.
static int max_val(int a, int b){
return(a>b)? a: b; //set value for a = 1 and b = 0
}
static int knapsack(int max_bag_limit, int[] weight, int[] value, int size){
if (size ==0 || max_bag_limit == 0){ //base case
return 0;
}
if(weight[size - 1] > max_bag_limit){
return knapsack(max_bag_limit, weight, value, size-1);
}
else{
return max_val(value[size-1]
+ knapsack(max_bag_limit - weight[size - 1],weight,value, size -1), //im stuck at this line
knapsack(max_bag_limit, weight, value, size -1) );
}
}
i tried to do it this way because i need to put it in a Jbutton.
else if(counter == 6){ //max_val compare knapsack A and Knapsack B
printCode(1);
if(knapsackA>knapsackB){
total = knapsackA;
}
else total = knapsackB;
}
else count = 1; // to avoid 0;
}
To allow more control over the algorithm, you need to break out one step to perform. This means that you need to think about what to do for a single step and what state you need to store so that you can perform the next step. A direct reimplementation of recursion can use an explicit Stack instead of relying on the call stack in the JRE.
I've started writing a bot to play Gomoku. Briefly each player tries to score unbroken line of five tolkens. The game is played on 15*15 board.
Finding a win in one move by exhaust search is the first task.
Should I use 1D or 2D array to represent the board? 2D seems more natural, but 1D array might be faster.
What is the resource efficient way to check the winning condition?
I considered making an array.
win[i][j]=[p1,p2,p3,p4,p5], where win[i] is (the set of winning combos ) && (with one tolken in i-th position).
What would be an efficient way to do this check?
Also, how can I account for all winning combos by forking moves? The total number of winning combos will be quite large? Should I move to on the fly evaluation.
Thank you in advance,
Stepan
Should I use 1D or 2D array?
I think that you could either 1 or 2 dimension array, and with each (i, j) you could access to your cell. in 1D you must code to find correct index of the array and in 2D, simply you could access to your cells.
so in this sample code I use a 2D array.
What is the resource efficient way to check the winning condition?
you have to check the cell values with fix values (eg. booleans or numbers) frequently and the lowest assembly structure of equal statement is checking zero flag. so I think that the most efficient isEqual is for Boolean.
so in this sample code I use Boolean.
since Gomoku has 2 players, each cell could have 3 values (black, wight, empty), but we could use 2 arrays of Boolean for each player and each cell has 2 values (stone, empty) for that player.
public class Main {
final static int row = 15;
final static int column = 15;
final static int win_count = 5;
public static void main(String[] args) {
boolean[][] board1 = new boolean[row][column];
boolean[][] board2 = new boolean[row][column];
/*
* for each change by player1 in (i,j) in the board. (index start from 0
* to 14)
*/
int i = 2;
int j = 3;
Boolean win = checkWin(board1, i, j);
System.out.println("player1 win=" + win);
}
private static Boolean checkWin(boolean[][] board1, int i, int j) {
/**
* 1) check horizontal
*/
int leftBound = 0;
if (j - win_count >= 0)
leftBound = j - win_count;
else
leftBound = 0;
int rightBound = 0;
if (j + win_count < column)
rightBound = j + win_count;
else
rightBound = column - 1;
int hitCount = 0;
int jk = j;
// go left
while (jk >= leftBound && hitCount < win_count) {
if (board1[i][jk]) {
hitCount++;
jk--;
} else {
jk = j;
break;
}
}
// go right
while (jk <= rightBound && hitCount < win_count) {
if (board1[i][jk]) {
hitCount++;
jk++;
} else {
break;
}
}
if (hitCount >= win_count)
return true;
/**
* 2) check vertical
*/
/**
* 3) check principal diagonal
*/
/**
* 4) check minor diagonal
*/
// otherwise:
return false;
}
}
I write the structure of this code and you should complete other parts that is marked with comments.
I hope this sample code could help you.
Please check this article for ideas:
"Go-Moku Solved by New Search Techniques" (1993)
Briefly,
(1) A brute force 2 ply deep search is a cheap and dirty approach, but there is a better way
(2) Whenever forcing moves are involved you can run 10-20 ply deep search in a second
(3) Human professionals rely on this; your bot should utilize it as well
Hope this helps.
I work on a genetic algorithm for a robotic assembly line balancing problem (assigning assembly operations and robots to stations to minimize the cycle time for a given number of stations). The solution is represented by an ArrayList (configuration) which holds all the operations in the sequence assigned to different stations. Furthermore, I have two more ArrayLists (robotAssignment, operationPartition) which indicate where a new station starts and which robot is assigned to a station. For example, a solution candidate looks like this (configuration, robotAssignment, operationPartition from top to bottom):
Initial cycle time: 50.0
|2|7|3|9|1|5|4|6|8|10|
|2|1|3|2|
|0|2|5|7|
From this solution representation we know that operations 3, 9, and 1 are assigned to the second sation and robot 1 is used.
I need to keep track of the station an operation is assigned to. I tried a lot to store this in the Object Operation itself but I always ended up in problems and therefore I want to write a method that gives me the stations index of an operation.
Here is what I have coded so far:
// Get the station of an operation
public int getStation(Operation operation) {
int stationIndex = 0;
int position = configuration.indexOf(operation);
for (int i = 0; i < GA_RALBP.numberOfStations ; i++ ) {
if (i < GA_RALBP.numberOfStations - 1 && operationPartition.get(i) != null) {
if (isBetween(position, (int) operationPartition.get(i), (int) operationPartition.get(i + 1))) {
return stationIndex + 1;
} else {
stationIndex++;
}
}
else if (i >= GA_RALBP.numberOfStations - 1 && operationPartition.get(i) != null) {
if (isBetween(position, (int) operationPartition.get(i), configurationSize())) {
return stationIndex + 1;
}
}
}
return -1;
}
// Check if value x is between values left and right including left
public static boolean isBetween(int x, int left, int right) {
if (left <= x && x < right ) {
return true;
}
else {
return false;
}
}
However, this does not seem to be (a) very elegant and (b) if I have to do this for a large number of operations the runtime could become a problem. Has anoyone an idea how to solve this more efficiently?
Why not make the partitioning explicit (replaces your operationPartition) - something like:
Map<Integer, Integer> operationToStationMapping = new HashMap<>();
operationToStationMapping.put(2,0);
operationToStationMapping.put(7,0);
operationToStationMapping.put(3,2);
operationToStationMapping.put(9,2);
operationToStationMapping.put(1,2);
operationToStationMapping.put(5,5);
operationToStationMapping.put(6,7);
operationToStationMapping.put(8,-1);
operationToStationMapping.put(10,-1);
Then getStation() becomes:
getStation(int operation) {return operationToStationMapping.get(operation);}
I have assigned a letter grade to each student based on his/her grade. And I want to count the total number of students for each letter grade. But for some reasons, the result turns total wrong. Can anyone tell me what parts I did wrong? Thank you!
String letter ="A";
int letterA=0;
int letterB=0;
int letterC=0;
int letterD=0;
int letterF=0;
int a=0;
int b=0;
int c=0;
int d=0;
int f=0;
for (int row=0;row<100;row++){ //the outer loop, have 100 rows to go through
for ( int column=0;column<words.length;column++) {
if(words[column].equals(table[row][column])){ // compare two arrays
count++; }// add the score for each student if he/she is right
}
if (count >=18)
letter=("A");
if(count>=16 && count<18)
letter=("B");
if(count>=14 && count<16)
letter=("C");
if(count>=12 && count<14)
letter=("D");
if(count<12)
letter=("F");
System.out.println("Student Grade: "+letter+"\t");
count=0; // make sure the count will go back to 0, and run the loop again
if (letter.equals("A"))
letterA++;
a+=letterA;}
if (letter.equals("B"))
letterB++;
b+=letterB;
if (letter.equals("C"))
letterC++;
c+=letterC;
if (letter.equals("D"))
letterD++;
d+=letterD;
if (letter.equals("F"))
letterF++;
f+=letterF;
System.out.print("Question A "+a);
System.out.print("Question B "+b);
System.out.print("Question C "+c);
System.out.print("Question D "+d);
System.out.print("Question F "+f);
}
Always use braces, even for single statements:
if (letter.equals("A"))
letterA++;
a+=letterA;}
if (letter.equals("B"))
letterB++;
b+=letterB;
if (letter.equals("C"))
letterC++;
c+=letterC;
if (letter.equals("D"))
letterD++;
d+=letterD;
if (letter.equals("F"))
letterF++;
f+=letterF;
Should always be:
if ("A".equals(letter)) { letterA++; }
else if ("B".equals(letter)) { letterB++; }
else if ("C".equals(letter)) { letterC++; }
else if ("D".equals(letter)) { letterD++; }
else if ("F".equals(letter)) { letterF++; }
else { throw new RuntimeException("Invalid Letter " + letter); }
Use single line statements if you want them visually compact, but
still use the braces as they guarantee the intent of what is to be
done in a given block, they also act as documentation of that intent
for people in the future ( people includes you ) to know what is going
on.
I see no valid reason for the single letter variables they are never used and I do not understand why they are there?
General Critique:
Always use braces:
Leaving out braces means only the first statement after the if is executed when the if matches, the next line(s) are always executed.
if (letter.equals("A"))
letterA++;
a+=letterA;
is actually
if (letter.equals("A")) { letterA++; }
a+=letterA;
Which means that line outside the braces will always get executed no matter what the expression inside the if test evaluates to. The indention of the second line is conflating that statement as part of the if block and it is not.
There is absolutely nothing to gain by leaving out braces and
everything to lose.
Neat code is easy to read and maintain and shows you care:
Always format your code consistently and not so densely so you can tell what is going on and what was wrong with the braces missing version.
Look at the best advertising it has plenty of white space, clean formatted code should have plenty of consistent white space as well so that our brains can quickly pattern match and scan for relevant things like matching pairs of braces.
Clean formatted code is just a keystroke away in all IDEs worth using.
Clean code shows you care about what you are doing and makes your question more appealing, which means others will care about their answer just as much.
Clean code earns you respect from your peers that know what they are looking at and sets you apart from those that do not care or know what they are looking at.
Most Importantly Clean Code is easier to reason about and has less
bugs, no subtle bugs and is orders of magnitude easier to maintain.
Always cover all the conditions:
Always use if/else if/else with mutually exclusive tests.
If all the if clauses are mutually exclusive and you match the first one, all the rest are still evaluated for no reason with the if/if/if/if structure. if/else if/else if/else if/else only evaluates until something matches or nothing matches.
Without else you do not cover all possible cases that do not match, which is usually and error that will just occur silently without the else.
Do not just cover the happy path, cover the exceptional path, but do it in the least defensive manner possible.
Explicit is always better than Implicit!
Avoid == null checks; avoid null completely:
Always compare literals to variables with .equals() to avoid possible NullPointerExceptions.
Avoid using null references completely, it is possible in every case, even the cases that it seems like a legitimate reason.
If Tony Hoare, the inventor of them thinks it is a mistake
who is to argue.
Always Name your variables descriptively!
I am not sure what letterA is supposed to represent anymore than what a is supposed to represent. So no one can tell you if these are correct because no one knows for sure what they represent semantically.
No Unnamed Numerical Constants ( Magic Numbers ):
final int A_GRADE = 18;
final int B_GRADE = 16;
final int C_GRADE = 14;
final int D_GRADE = 12;
Given the way they are used the names arguably could be even better
like MINIMUM_A_GRADE, but that is opinion based, the lesson is avoid
magic numbers.
Do range checks in the same direction:
Do range checks in the same direction so that the variable is visually in the middle of the comparison.
This makes it harder to break the logic later on and is self documenting that it is a range check.
if (count >= A_GRADE) { /* omitted */ }
else if (B_GRADE <= count && count < A_GRADE) { /* omitted */ }
else if (C_GRADE <= count && count < B_GRADE) { /* omitted */ }
else if (D_GRADE <= count && count < C_GRADE) { /* omitted */ }
else /* isF */ { /* omitted */ }
Which one is easier to reason about and maintain?
Do not hesitate to have many small methods if they make the code more self documenting:
private static boolean isA(final int count) { return count >= A_GRADE; }
private static boolean isB(final int count) { return B_GRADE <= count && count < A_GRADE; }
private static boolean isC(final int count) { return C_GRADE <= count && count < B_GRADE; }
private static boolean isD(final int count) { return D_GRADE <= count && count < C_GRADE; }
then you will have the following:
if (isA(count)) { /* omitted */ }
else if (isB(count)) { /* omitted */ }
else if (isC(count)) { /* omitted */ }
else if (isD(count)) { /* omitted */ }
else /* isF */ { /* omitted */ }
Which one is more obvious and self documenting, thus more
maintainable?
DRY - Don't Repeat Yourself:
Logically if (count >= A_GRADE) { letter = "A";} is exactly the same as if ("A".equals(letter)) { /* do stuff */ } so this is duplicated logic.
Instead of assigning a letter than checking that again, just put the logic in the original check.
if (count >= A_GRADE) { /* do stuff */ }
else if (B_GRADE <= count && count < A_GRADE) { /* do stuff */ }
else if (C_GRADE <= count && count < B_GRADE) { /* do stuff */ }
else if (D_GRADE <= count && count < C_GRADE) { /* do stuff */ }
else { /* omitted */ }
I see no valid reason for the single letter variables they are never used and I do not understand why they are there?
Duplicate logic means multiple places to have errors and multiple
places to edit to fix bugs, save yourself time and effort and follow
the DRY principle.
Move large logic blocks to method calls:
When do stuff is more than a few lines, refactor it to a method call.
if (count >= A_GRADE) { recordMarkA(); }
else if (B_GRADE <= count && count < A_GRADE) { recordMarkB(); }
else if (C_GRADE <= count && count < B_GRADE) { recordMarkC(); }
else if (D_GRADE <= count && count < C_GRADE) { recordMarkD(); }
else { recordMarkF(); }
More small methods with descriptive names is always better than large
monolithic blocks of inline code.
This question shows substantial effort and a genuine desire to learn:
So I crafted up what I would want a complete solution ( provided the partial/incomplete code ) to look like.
Q34081279.java
public class Q34081279
{
final static int A_GRADE = 18;
final static int B_GRADE = 16;
final static int C_GRADE = 14;
final static int D_GRADE = 12;
public static void main(final String[] args)
{
final String[] words = new String[]{}; /* this is just a placeholer, not provided in question */
final String[][] table = new String[][]{}; /* this is just a placehoder, not provided in question */
int markA = 0;
int markB = 0;
int markC = 0;
int markD = 0;
int markF = 0;
for (int row = 0; row < 100; row++)
{
int count = 0;
for (int column = 0; column < words.length; column++)
{
if (words[column].equals(table[row][column])) { count++; }
}
if (count >= A_GRADE) { System.out.format("%d = A", count); }
else if (B_GRADE <= count && count < A_GRADE) { System.out.format("%d = B", count); }
else if (C_GRADE <= count && count < B_GRADE) { System.out.format("%d = C", count); }
else if (D_GRADE <= count && count < C_GRADE) { System.out.format("%d = D", count); }
else { System.out.format("%d = F", count); }
System.out.println();
}
System.out.println(String.format("Question A %d", markA));
System.out.println(String.format("Question B %d", markB));
System.out.println(String.format("Question C %d", markC));
System.out.println(String.format("Question D %d", markD));
System.out.println(String.format("Question F %d", markF));
}
}
#Buddy is on the right rack but it's more than that. All of the if statements with more than one line need to have braces.
Otherwise only the first line is read by the compiler. According to Oracle:
Deciding when to omit the braces is a matter of personal taste. Omitting them can make the code more brittle. If a second statement is later added to the "then" clause, a common mistake would be forgetting to add the newly required braces. The compiler cannot catch this sort of error; you'll just get the wrong results.
eg:
if (letter.equals("A")) {
letterA++;
a+=letterA;
}
if (letter.equals("B")) {
letterB++;
b+=letterB;
}
Ok so my problem is basically, I have a matrix for example
010
101
111
just random 1s and 0s. So I have arrays that are rowcount and colcount, which count the number of ones in each row and column. So rowcount for this is {1,2,3} and colcount is {2,2,2}. Now in another method, I am given the arrays rowcount and colcount, and in that method, I am supposed to create a matrix with the counts in rowcount and colcount, but the end matrix can be different. Than the original. I think I'm supposed to exhaust all permutations until a matrix works. The base case must stay the same.
Note: Math.random cannot be used.
private static void recur(int[][] m, int[] rowcount, int[] colcount, int r, int c)
//recursive helper method
{
if(compare(m, rowcount, colcount)) //base case: if new matrix works
{
System.out.println();
System.out.println("RECREATED");
display(m, rowcount, colcount); //we're done!
System.exit(0);
}
else
{
int[] temp_r = new int[m.length];
int[] temp_c = new int[m[0].length];
count(m, temp_r, temp_c);
if(rowcount[r] > temp_r[r] && colcount[c] > temp_c[c])
m[r][c] = 1;
if(r+1 < m.length)
recur(m,rowcount,colcount,r+1,c);
if(rowcount[r] < temp_r[r] || colcount[c] < temp_c[c])
m[r][c] = 0;
if(c+1 < m[0].length)
recur(m,rowcount,colcount,r,c+1);
}
}
private static boolean compare(int[][] m, int[] rowcount, int[] colcount)
{
int[] temp_r = new int[m.length];
int[] temp_c = new int[m[0].length];
count(m, temp_r, temp_c);
for (int x = 0; x < temp_r.length; x++)
{
if(temp_r[x] != rowcount[x])
return false;
}
for (int y = 0; y < temp_c.length; y++)
{
if(temp_c[y] != colcount[y])
return false;
}
return true;
}
public static void count(int[][] matrix, int[] rowcount, int[] colcount)
{
for(int x=0;x<matrix.length;x++)
for(int y=0;y<matrix[0].length;y++)
{
if(matrix[x][y]==1)
{
rowcount[x]++;
colcount[y]++;
}
}
}
Well, I decided I'd implement a solution, but instead of Java (which you haven't actually specified the solution needs to be in), I'm going to use Groovy (which is Java based anyway)! I've tried to use Java syntax where possible, it's not hard to extrapolate the Java code from this (but it is much more verbose!)
Note:
*Generating a random bit matrix, not using Math.random()
*I'm storing my matrix in a string i.e. [[0,1],[1,0]] = "0110"
*My solution relies heavily, on converting Integers to/from BinaryStrings (which is essentially what your matrix is!)
// Generate random matrix
int colSize = 3;
int rowSize = 4;
String matrix = '';
for (int i = 0; i < rowSize; i++){
String bits = Integer.toBinaryString(System.currentTimeMillis().toInteger());
matrix += bits.substring(bits.length() - colSize);
Thread.sleep((System.currentTimeMillis() % 1000) + 1);
}
def (cols1,rows1) = getCounts(matrix, colSize)
println "matrix=$matrix rows1=$rows1 cols1=$cols1"
// Find match (brute force!)
int matrixSize = colSize * rowSize
int start = 0
int end = Math.pow(Math.pow(2, colSize), rowSize) // 2 is number of variations, i.e. 0 and 1
for (int i = start; i <= end; i++){
String tmp = leftPad(Integer.toBinaryString(i), matrixSize, '0')
def (cols2,rows2) = getCounts(tmp, colSize)
if (cols1 == cols2 && rows1 == rows2){
println "Found match! matrix=$tmp"
break;
}
}
println "Finished."
String leftPad(String input, int totalWidth, String padchar){ String.format('%1$' + totalWidth + "s", input).replace(' ',padchar) }
int[][] getCounts(String matrix, int colSize){
int rowSize = matrix.length() / colSize
int[] cols = (1..colSize).collect{0}, rows = (1..rowSize).collect{0}
matrix.eachWithIndex {ch, index ->
def intval = Integer.parseInt(ch)
cols[index % colSize] += intval
rows[(int)index / colSize] += intval
}
[cols,rows]
}
Gives output:
matrix=001100011000 rows1=[1, 1, 2, 0] cols1=[1, 1, 2]
Found match! matrix=001001110000
Finished.
Brute force search logic:
Given a rowcount of [1,2,3]
And a colcount of [2,2,2]
Iterate over all matrix combinations (i.e. numbers 0 - 511 i.e. "000000000" -> "111111111")
Until the new matrix combination's rowcount and colcount matches the supplied rowcount and colcount
OK, your question and comments indicate you are on the right track. The code itself is a bit messy and it has obviously gone through some iterations. That's not great, but it's OK.
You are right, I believe, that you have to 'exhaust' the recursion until you find a new result that matches the existing column/row counts. So, attack the problem logically. First, create a method that can compare a matrix with a row/column count. You call it 'compare(...)'. I assume this method you have already works ;-). This is the method that marks the end of the recursion. When compare returns true, you should return up the recursion 'stack'. You should not do a System.exit(...).
So, the basic rule of recursion, you need an input, output, a method body that contains an exit-condition check, and a recursive call if the condition is not met....
Your problem has a specific issue which complicates things - you need to make copies if the input matrix every time you go down a recursion level. Alternatively you need to 'undo' any changes you make when you come up a level. The 'undo' method is faster (less memory copies).
So, the process is as follows, start with an all-zero matrix. Call your recursive function for the all-zero start point.
int[][] matrix = new int[width][height];
int rpos = 0;
boolean found = recur(matrix, rowcount, colcount, 0, 0);
This is how it will be called, and found will be true if we found a solution.
The difference here from your code is that recur now returns a boolean.
So, our recur method needs to do:
1. check the current matrix - return true if it matches.
2. make meaningful changes (within the limits that we've added)
3. recursively check the change (and add other changes).
Your method does not have an output, so there's no way to escape the recursion. So, add one (boolean in this case).
The way this can work is that we start in the top left, and try it with that bit set, and with it unset. For each contition (set or unset) we recursively test whether the next bit matches when set, or unset, and so on.... :
private static boolean recur(int[][] m, int[] rowcount, int[] colcount,
int row, int col) {
if (compare(m, rowcount, colcount)) {
// our matrix matches the condition
return true;
}
if (row >= m.length) {
return false;
}
int nextcol = col + 1;
int nextrow = row;
if (nextcol >= m[row].length) {
nextcol = 0;
nextrow++;
if (nextrow > m.length) {
return false;
}
}
// OK, so nextrow and nextcol are the following position, and are valid.
// let's set our current position, and tell the next level of recursion to
// start playing from the next spot along
m[row][col] = 1;
if (recur(m, rowcount, colcount, nextrow, nextcol)) {
return true;
}
// now unset it again
m[row][col] = 0;
if (recur(m, rowcount, colcount, nextrow, nextcol)) {
return true;
}
return false;
}
The above code is just hand-written, it may have bugs, etc. but try it. The lesson in here is that you need to test your consitions, and you need a strategy....