Create package prime, matrix and games (#6139)

This commit is contained in:
varada610
2025-01-27 03:10:41 -08:00
committed by GitHub
parent f9efd382d1
commit 4ef06822ca
27 changed files with 123 additions and 160 deletions

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package com.thealgorithms.puzzlesandgames;
/**
* A class that provides methods to solve Sudoku puzzles of any n x n size
* using a backtracking approach, where n must be a perfect square.
* The algorithm checks for safe number placements in rows, columns,
* and subgrids (which are sqrt(n) x sqrt(n) in size) and recursively solves the puzzle.
* Though commonly used for 9x9 grids, it is adaptable to other valid Sudoku dimensions.
*/
final class Sudoku {
private Sudoku() {
}
/**
* Checks if placing a number in a specific position on the Sudoku board is safe.
* The number is considered safe if it does not violate any of the Sudoku rules:
* - It should not be present in the same row.
* - It should not be present in the same column.
* - It should not be present in the corresponding 3x3 subgrid.
* - It should not be present in the corresponding subgrid, which is sqrt(n) x sqrt(n) in size (e.g., for a 9x9 grid, the subgrid will be 3x3).
*
* @param board The current state of the Sudoku board.
* @param row The row index where the number is to be placed.
* @param col The column index where the number is to be placed.
* @param num The number to be placed on the board.
* @return True if the placement is safe, otherwise false.
*/
public static boolean isSafe(int[][] board, int row, int col, int num) {
// Check the row for duplicates
for (int d = 0; d < board.length; d++) {
if (board[row][d] == num) {
return false;
}
}
// Check the column for duplicates
for (int r = 0; r < board.length; r++) {
if (board[r][col] == num) {
return false;
}
}
// Check the corresponding 3x3 subgrid for duplicates
int sqrt = (int) Math.sqrt(board.length);
int boxRowStart = row - row % sqrt;
int boxColStart = col - col % sqrt;
for (int r = boxRowStart; r < boxRowStart + sqrt; r++) {
for (int d = boxColStart; d < boxColStart + sqrt; d++) {
if (board[r][d] == num) {
return false;
}
}
}
return true;
}
/**
* Solves the Sudoku puzzle using backtracking.
* The algorithm finds an empty cell and tries placing numbers
* from 1 to n, where n is the size of the board
* (for example, from 1 to 9 in a standard 9x9 Sudoku).
* The algorithm finds an empty cell and tries placing numbers from 1 to 9.
* The standard version of Sudoku uses numbers from 1 to 9, so the algorithm can be
* easily modified for other variations of the game.
* If a number placement is valid (checked via `isSafe`), the number is
* placed and the function recursively attempts to solve the rest of the puzzle.
* If no solution is possible, the number is removed (backtracked),
* and the process is repeated.
*
* @param board The current state of the Sudoku board.
* @param n The size of the Sudoku board (typically 9 for a standard puzzle).
* @return True if the Sudoku puzzle is solvable, false otherwise.
*/
public static boolean solveSudoku(int[][] board, int n) {
int row = -1;
int col = -1;
boolean isEmpty = true;
// Find the next empty cell
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
if (board[i][j] == 0) {
row = i;
col = j;
isEmpty = false;
break;
}
}
if (!isEmpty) {
break;
}
}
// No empty space left
if (isEmpty) {
return true;
}
// Try placing numbers 1 to n in the empty cell (n should be a perfect square)
// Eg: n=9 for a standard 9x9 Sudoku puzzle, n=16 for a 16x16 puzzle, etc.
for (int num = 1; num <= n; num++) {
if (isSafe(board, row, col, num)) {
board[row][col] = num;
if (solveSudoku(board, n)) {
return true;
} else {
// replace it
board[row][col] = 0;
}
}
}
return false;
}
/**
* Prints the current state of the Sudoku board in a readable format.
* Each row is printed on a new line, with numbers separated by spaces.
*
* @param board The current state of the Sudoku board.
* @param n The size of the Sudoku board (typically 9 for a standard puzzle).
*/
public static void print(int[][] board, int n) {
// Print the board in a nxn grid format
// if n=9, print the board in a 9x9 grid format
// if n=16, print the board in a 16x16 grid format
for (int r = 0; r < n; r++) {
for (int d = 0; d < n; d++) {
System.out.print(board[r][d]);
System.out.print(" ");
}
System.out.print("\n");
if ((r + 1) % (int) Math.sqrt(n) == 0) {
System.out.print("");
}
}
}
/**
* The driver method to demonstrate solving a Sudoku puzzle.
* A sample 9x9 Sudoku puzzle is provided, and the program attempts to solve it
* using the `solveSudoku` method. If a solution is found, it is printed to the console.
*
* @param args Command-line arguments (not used in this program).
*/
public static void main(String[] args) {
int[][] board = new int[][] {
{3, 0, 6, 5, 0, 8, 4, 0, 0},
{5, 2, 0, 0, 0, 0, 0, 0, 0},
{0, 8, 7, 0, 0, 0, 0, 3, 1},
{0, 0, 3, 0, 1, 0, 0, 8, 0},
{9, 0, 0, 8, 6, 3, 0, 0, 5},
{0, 5, 0, 0, 9, 0, 6, 0, 0},
{1, 3, 0, 0, 0, 0, 2, 5, 0},
{0, 0, 0, 0, 0, 0, 0, 7, 4},
{0, 0, 5, 2, 0, 6, 3, 0, 0},
};
int n = board.length;
if (solveSudoku(board, n)) {
print(board, n);
} else {
System.out.println("No solution");
}
}
}

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package com.thealgorithms.puzzlesandgames;
import java.util.List;
/**
* The {@code TowerOfHanoi} class provides a recursive solution to the Tower of Hanoi puzzle.
* This puzzle involves moving a set of discs from one pole to another, following specific rules:
* 1. Only one disc can be moved at a time.
* 2. A disc can only be placed on top of a larger disc.
* 3. All discs must start on one pole and end on another.
*
* This implementation recursively calculates the steps required to solve the puzzle and stores them
* in a provided list.
*
* <p>
* For more information about the Tower of Hanoi, see
* <a href="https://en.wikipedia.org/wiki/Tower_of_Hanoi">Tower of Hanoi on Wikipedia</a>.
* </p>
*
* The {@code shift} method takes the number of discs and the names of the poles,
* and appends the steps required to solve the puzzle to the provided list.
* Time Complexity: O(2^n) - Exponential time complexity due to the recursive nature of the problem.
* Space Complexity: O(n) - Linear space complexity due to the recursion stack.
* Wikipedia: https://en.wikipedia.org/wiki/Tower_of_Hanoi
*/
final class TowerOfHanoi {
private TowerOfHanoi() {
}
/**
* Recursively solve the Tower of Hanoi puzzle by moving discs between poles.
*
* @param n The number of discs to move.
* @param startPole The name of the start pole from which discs are moved.
* @param intermediatePole The name of the intermediate pole used as a temporary holding area.
* @param endPole The name of the end pole to which discs are moved.
* @param result A list to store the steps required to solve the puzzle.
*
* <p>
* This method is called recursively to move n-1 discs
* to the intermediate pole,
* then moves the nth disc to the end pole, and finally
* moves the n-1 discs from the
* intermediate pole to the end pole.
* </p>
*
* <p>
* Time Complexity: O(2^n) - Exponential time complexity due to the recursive nature of the problem.
* Space Complexity: O(n) - Linear space complexity due to the recursion stack.
* </p>
*/
public static void shift(int n, String startPole, String intermediatePole, String endPole, List<String> result) {
if (n != 0) {
// Move n-1 discs from startPole to intermediatePole
shift(n - 1, startPole, endPole, intermediatePole, result);
// Add the move of the nth disc from startPole to endPole
result.add(String.format("Move %d from %s to %s", n, startPole, endPole));
// Move the n-1 discs from intermediatePole to endPole
shift(n - 1, intermediatePole, startPole, endPole, result);
}
}
}

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package com.thealgorithms.puzzlesandgames;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
public final class WordBoggle {
private WordBoggle() {
}
/**
* O(nm * 8^s + ws) time where n = width of boggle board, m = height of
* boggle board, s = length of longest word in string array, w = length of
* string array, 8 is due to 8 explorable neighbours O(nm + ws) space.
*/
public static List<String> boggleBoard(char[][] board, String[] words) {
Trie trie = new Trie();
for (String word : words) {
trie.add(word);
}
Set<String> finalWords = new HashSet<>();
boolean[][] visited = new boolean[board.length][board.length];
for (int i = 0; i < board.length; i++) {
for (int j = 0; j < board[i].length; j++) {
explore(i, j, board, trie.root, visited, finalWords);
}
}
return new ArrayList<>(finalWords);
}
public static void explore(int i, int j, char[][] board, TrieNode trieNode, boolean[][] visited, Set<String> finalWords) {
if (visited[i][j]) {
return;
}
char letter = board[i][j];
if (!trieNode.children.containsKey(letter)) {
return;
}
visited[i][j] = true;
trieNode = trieNode.children.get(letter);
if (trieNode.children.containsKey('*')) {
finalWords.add(trieNode.word);
}
List<Integer[]> neighbors = getNeighbors(i, j, board);
for (Integer[] neighbor : neighbors) {
explore(neighbor[0], neighbor[1], board, trieNode, visited, finalWords);
}
visited[i][j] = false;
}
public static List<Integer[]> getNeighbors(int i, int j, char[][] board) {
List<Integer[]> neighbors = new ArrayList<>();
if (i > 0 && j > 0) {
neighbors.add(new Integer[] {i - 1, j - 1});
}
if (i > 0 && j < board[0].length - 1) {
neighbors.add(new Integer[] {i - 1, j + 1});
}
if (i < board.length - 1 && j < board[0].length - 1) {
neighbors.add(new Integer[] {i + 1, j + 1});
}
if (i < board.length - 1 && j > 0) {
neighbors.add(new Integer[] {i + 1, j - 1});
}
if (i > 0) {
neighbors.add(new Integer[] {i - 1, j});
}
if (i < board.length - 1) {
neighbors.add(new Integer[] {i + 1, j});
}
if (j > 0) {
neighbors.add(new Integer[] {i, j - 1});
}
if (j < board[0].length - 1) {
neighbors.add(new Integer[] {i, j + 1});
}
return neighbors;
}
}
// Trie used to optimize string search
class TrieNode {
Map<Character, TrieNode> children = new HashMap<>();
String word = "";
}
class Trie {
TrieNode root;
char endSymbol;
Trie() {
this.root = new TrieNode();
this.endSymbol = '*';
}
public void add(String str) {
TrieNode node = this.root;
for (int i = 0; i < str.length(); i++) {
char letter = str.charAt(i);
if (!node.children.containsKey(letter)) {
TrieNode newNode = new TrieNode();
node.children.put(letter, newNode);
}
node = node.children.get(letter);
}
node.children.put(this.endSymbol, null);
node.word = str;
}
}