Home > Article > Web Front-end > JavaScript solves the third-order magic square (nine-square grid)_javascript skills
Puzzle: Third-order magic square. Try to fill in the 9 different integers from 1 to 9 into a 3×3 table so that the sum of the numbers in each row, column and diagonal is the same.
Strategy: Exhaustive search. List all integer padding scenarios, then filter.
The highlight is the design of the recursive function getPermutation. At the end of the article, several non-recursive algorithms are given
// 递归算法,很巧妙,但太费资源 function getPermutation(arr) { if (arr.length == 1) { return [arr]; } var permutation = []; for (var i = 0; i < arr.length; i++) { var firstEle = arr[i]; //取第一个元素 var arrClone = arr.slice(0); //复制数组 arrClone.splice(i, 1); //删除第一个元素,减少数组规模 var childPermutation = getPermutation(arrClone);//递归 for (var j = 0; j < childPermutation.length; j++) { childPermutation[j].unshift(firstEle); //将取出元素插入回去 } permutation = permutation.concat(childPermutation); } return permutation; } function validateCandidate(candidate) { var sum = candidate[0] + candidate[1] + candidate[2]; for (var i = 0; i < 3; i++) { if (!(sumOfLine(candidate, i) == sum && sumOfColumn(candidate, i) == sum)) { return false; } } if (sumOfDiagonal(candidate, true) == sum && sumOfDiagonal(candidate, false) == sum) { return true; } return false; } function sumOfLine(candidate, line) { return candidate[line * 3] + candidate[line * 3 + 1] + candidate[line * 3 + 2]; } function sumOfColumn(candidate, col) { return candidate[col] + candidate[col + 3] + candidate[col + 6]; } function sumOfDiagonal(candidate, isForwardSlash) { return isForwardSlash ? candidate[2] + candidate[4] + candidate[6] : candidate[0] + candidate[4] + candidate[8]; } var permutation = getPermutation([1, 2, 3, 4, 5, 6, 7, 8, 9]); var candidate; for (var i = 0; i < permutation.length; i++) { candidate = permutation[i]; if (validateCandidate(candidate)) { break; } else { candidate = null; } } if (candidate) { console.log(candidate); } else { console.log('No valid result found'); } //求模(非递归)全排列算法 /* 算法的具体示例: *求4个元素["a", "b", "c", "d"]的全排列, 共循环4!=24次,可从任意>=0的整数index开始循环,每次累加1,直到循环完index+23后结束; *假设index=13(或13+24,13+224,13+3*24…),因为共4个元素,故迭代4次,则得到的这一个排列的过程为: *第1次迭代,13/1,商=13,余数=0,故第1个元素插入第0个位置(即下标为0),得["a"]; *第2次迭代,13/2, 商=6,余数=1,故第2个元素插入第1个位置(即下标为1),得["a", "b"]; *第3次迭代,6/3, 商=2,余数=0,故第3个元素插入第0个位置(即下标为0),得["c", "a", "b"]; *第4次迭代,2/4,商=0,余数=2, 故第4个元素插入第2个位置(即下标为2),得["c", "a", "d", "b"]; */ function perm(arr) { var result = new Array(arr.length); var fac = 1; for (var i = 2; i <= arr.length; i++) //根据数组长度计算出排列个数 fac *= i; for (var index = 0; index < fac; index++) { //每一个index对应一个排列 var t = index; for (i = 1; i <= arr.length; i++) { //确定每个数的位置 var w = t % i; for (var j = i - 1; j > w; j--) //移位,为result[w]留出空间 result[j] = result[j - 1]; result[w] = arr[i - 1]; t = Math.floor(t / i); } if (validateCandidate(result)) { console.log(result); break; } } } perm([1, 2, 3, 4, 5, 6, 7, 8, 9]); //很巧妙的回溯算法,非递归解决全排列 function seek(index, n) { var flag = false, m = n; //flag为找到位置排列的标志,m保存正在搜索哪个位置,index[n]为元素(位置编码) do { index[n]++; //设置当前位置元素 if (index[n] == index.length) //已无位置可用 index[n--] = -1; //重置当前位置,回退到上一个位置 else if (!(function () { for (var i = 0; i < n; i++) //判断当前位置的设置是否与前面位置冲突 if (index[i] == index[n]) return true;//冲突,直接回到循环前面重新设置元素值 return false; //不冲突,看当前位置是否是队列尾,是,找到一个排列;否,当前位置后移 })()) //该位置未被选择 if (m == n) //当前位置搜索完成 flag = true; else n++; //当前及以前的位置元素已经排好,位置后移 } while (!flag && n >= 0) return flag; } function perm(arr) { var index = new Array(arr.length); for (var i = 0; i < index.length; i++) index[i] = -1; for (i = 0; i < index.length - 1; i++) seek(index, i); //初始化为1,2,3,...,-1 ,最后一位元素为-1;注意是从小到大的,若元素不为数字,可以理解为其位置下标 while (seek(index, index.length - 1)) { var temp = []; for (i = 0; i < index.length; i++) temp.push(arr[index[i]]); if (validateCandidate(temp)) { console.log(temp); break; } } } perm([1, 2, 3, 4, 5, 6, 7, 8, 9]);
/*
Full permutation (non-recursive ordering) algorithm
1. Create a position array, that is, arrange the positions. After the arrangement is successful, it is converted into an arrangement of elements;
2. Find the complete arrangement according to the following algorithm:
Suppose P is a complete arrangement of 1 to n (position numbers): p = p1,p2...pn = p1,p2...pj-1,pj,pj 1...pk-1,pk,pk 1 ...pn
(1) Starting from the end of the arrangement, find the first index j that is smaller than the right position number (j is calculated from the beginning), that is, j = max{i | pi 7739b31d73ce1c4ded3425aef7384452 pj}
The position numbers to the right of pj increase from right to left, so k is the largest index among all position numbers greater than pj
(3)Exchange pj and pk
(4) Then flip pj 1...pk-1,pk,pk 1...pn to get the arrangement p' = p1,p2...pj-1,pj,pn...pk 1,pk,pk -1...pj 1
(5) p' is the next permutation of permutation p
For example:
24310 is a permutation of position numbers 0 to 4. The steps to find its next permutation are as follows:
(1) Find the first number 2 in the arrangement that is smaller than the number on the right from right to left;
(2) Find the smallest number 3 that is greater than 2 among the numbers after the number;
(3) Swap 2 and 3 to get 34210;
(4) Flip all the numbers after the original 2 (current 3), that is, flip 4210 to get 30124;
(5) Find the next permutation of 24310 as 30124.
*/
function swap(arr, i, j) { var t = arr[i]; arr[i] = arr[j]; arr[j] = t; } function sort(index) { for (var j = index.length - 2; j >= 0 && index[j] > index[j + 1]; j--) ; //本循环从位置数组的末尾开始,找到第一个左边小于右边的位置,即j if (j < 0) return false; //已完成全部排列 for (var k = index.length - 1; index[k] < index[j]; k--) ; //本循环从位置数组的末尾开始,找到比j位置大的位置中最小的,即k swap(index, j, k); for (j = j + 1, k = index.length - 1; j < k; j++, k--) swap(index, j, k); //本循环翻转j+1到末尾的所有位置 return true; } function perm(arr) { var index = new Array(arr.length); for (var i = 0; i < index.length; i++) index[i] = i; do { var temp = []; for (i = 0; i < index.length; i++) temp.push(arr[index[i]]); if (validateCandidate(temp)) { console.log(temp); break; } } while (sort(index)); } perm([1, 2, 3, 4, 5, 6, 7, 8, 9]);
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