@algorithm.ts/dlx (英语)

类型标记执行 DLX 函数 算法.

DLX是应用起舞链接的算法X. 该算法用于解析精确的覆盖 问题.

如果你对这个算法好奇,你可以去拜访 这里 更多细节.

安装

• 无

  npm install --save @algorithm.ts/dlx
  

• 小时

  pnpm add @algorithm.ts/dlx
  

使用量

• 使用 dlx 解决一个 9x9 sudoku 问题 :

  import { DancingLinkX } from '@algorithm.ts/dlx'
  
  const ebs = 1e-6
  const DL_TOTAL_COLUMNS = 9 * 9 * 4
  const DL_MAX_NODES = DL_TOTAL_COLUMNS * (9 * 9 * 9) + 10
  const dlx = new DancingLinkX({ MAX_N: DL_MAX_NODES })
  
  // Sudoku constraints.
  export enum SudokuConstraint {
    SLOT = 0, // Slot(a, b): There must be a number on the grid in row a column b
    ROW = 1, // Row(a, b): Row a must have the number b
    COL = 2, // Col(a, b): Column a must have the number b
    SUB = 3, // Sub(a, b): a-th sub-square matrix must have the number b
  }
  
  export function solveSudoku(puzzle: ReadonlyArray<number[]>, solution: number[][]): boolean {
    const encode = (a: number, b: number, c: number): number => a * 81 + b * 9 + c + 1
  
    dlx.init(DL_TOTAL_COLUMNS)
    const columns: number[] = new Array<number>(4)
    for (let r = 0; r < 9; ++r) {
      for (let c = 0; c < 9; ++c) {
        const w = puzzle[r][c]
        const s = Math.floor(r / 3 + ebs) * 3 + Math.floor(c / 3 + ebs)
        for (let v = 0; v < 9; ++v) {
          if (w === -1 || w === v) {
            columns[0] = encode(SudokuConstraint.SLOT, r, c)
            columns[1] = encode(SudokuConstraint.ROW, r, v)
            columns[2] = encode(SudokuConstraint.COL, c, v)
            columns[3] = encode(SudokuConstraint.SUB, s, v)
            dlx.addRow(encode(r, c, v), columns)
          }
        }
      }
    }
  
    const answer: number[] | null = dlx.solve()
    if (answer === null) return false
  
    for (const _code of answer) {
      let code = _code - 1
      const c = code % 9
  
      code = Math.floor(code / 9 + ebs)
      const b = code % 9
  
      code = Math.floor(code / 9 + ebs)
      const a = code
  
      // eslint-disable-next-line no-param-reassign
      solution[a][b] = c
    }
    return true
  }
  
  const solution = new Array(9)
  for (let r = 0; r < 9; ++r) solution[r] = new Array(9)
  solveSudoku(
    [
      [8, 6, -1, -1, -1, -1, -1, -1, -1],
      [-1, 5, 1, -1, 0, 8, -1, 4, 3],
      [-1, -1, -1, 5, 7, 1, -1, -1, -1],
      [4, 8, 7, 0, -1, -1, 5, -1, 2],
      [-1, -1, -1, 7, 8, 5, -1, 3, -1],
      [0, 3, -1, 2, -1, -1, 8, -1, -1],
      [1, -1, 3, 8, 2, 7, -1, 6, -1],
      [-1, -1, 6, -1, -1, -1, 3, 8, 7],
      [5, 7, -1, 4, -1, 6, 1, -1, -1]
    ],
    solution
  )   // => true
  
  // solution:
  // [
  //   [8, 6, 0, 3, 4, 2, 7, 5, 1],
  //   [7, 5, 1, 6, 0, 8, 2, 4, 3],
  //   [3, 2, 4, 5, 7, 1, 6, 0, 8],
  //   [4, 8, 7, 0, 6, 3, 5, 1, 2],
  //   [6, 1, 2, 7, 8, 5, 0, 3, 4],
  //   [0, 3, 5, 2, 1, 4, 8, 7, 6],
  //   [1, 0, 3, 8, 2, 7, 4, 6, 5],
  //   [2, 4, 6, 1, 5, 0, 3, 8, 7],
  //   [5, 7, 8, 4, 3, 6, 1, 2, 0]
  // ]
  

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