如果你的数组是排序的，这应该运行在O(n)，其中n是min(a.length, b.length)

function intersect_1d( a, b ){
    var out=[], ai=0, bi=0, acurr, bcurr, last=Number.MIN_SAFE_INTEGER;
    while( ( acurr=a[ai] )!==undefined && ( bcurr=b[bi] )!==undefined ){
        if( acurr < bcurr){
            if( last===acurr ){
                out.push( acurr );
            }
            last=acurr;
            ai++;
        }
        else if( acurr > bcurr){
            if( last===bcurr ){
                out.push( bcurr );
            }
            last=bcurr;
            bi++;
        }
        else {
            out.push( acurr );
            last=acurr;
            ai++;
            bi++;
        }
    }
    return out;
}

这是我使用的一个非常简单的实现。它是无损的，也确保不复制整个。

Array.prototype.contains = function(elem) {
    return(this.indexOf(elem) > -1);
};

Array.prototype.intersect = function( array ) {
    // this is naive--could use some optimization
    var result = [];
    for ( var i = 0; i < this.length; i++ ) {
        if ( array.contains(this[i]) && !result.contains(this[i]) )
            result.push( this[i] );
    }
    return result;
}

通过使用.pop而不是.shift可以提高@atk实现对原语排序数组的性能。

function intersect(array1, array2) {
   var result = [];
   // Don't destroy the original arrays
   var a = array1.slice(0);
   var b = array2.slice(0);
   var aLast = a.length - 1;
   var bLast = b.length - 1;
   while (aLast >= 0 && bLast >= 0) {
      if (a[aLast] > b[bLast] ) {
         a.pop();
         aLast--;
      } else if (a[aLast] < b[bLast] ){
         b.pop();
         bLast--;
      } else /* they're equal */ {
         result.push(a.pop());
         b.pop();
         aLast--;
         bLast--;
      }
   }
   return result;
}

我使用jsPerf创建了一个基准测试。使用。pop要快三倍。

ES2015的函数式方法

函数式方法必须考虑只使用没有副作用的纯函数，每个函数只与单个作业有关。

这些限制增强了所涉及函数的可组合性和可重用性。

//小的，可重用的辅助函数 const createSet = xs => new Set(xs); Const filter = f => xs => xs.filter(apply(f)); Const apply = f => x => f(x); / /十字路口 Const相交= xs => ys => { const zs =创建集(ys); 返回过滤器(x => zs.has(x)) ？ 真正的 :假 ) (x); }; //模拟数据 Const xs = [1,2,2,3,4,5]; Const ys = [0,1,2,3,3,3,6,7,8,9]; //运行 Console.log (intersect(xs) (ys));

请注意，使用本机Set类型，这有一个优点 查找性能。

避免重复

显然，第一个数组中重复出现的项将被保留，而第二个数组将被去重。这可能是也可能不是理想的行为。如果你需要一个唯一的结果，只需对第一个参数应用重复数据删除:

// auxiliary functions const apply = f => x => f(x); const comp = f => g => x => f(g(x)); const afrom = apply(Array.from); const createSet = xs => new Set(xs); const filter = f => xs => xs.filter(apply(f)); // intersection const intersect = xs => ys => { const zs = createSet(ys); return filter(x => zs.has(x) ? true : false ) (xs); }; // de-duplication const dedupe = comp(afrom) (createSet); // mock data const xs = [1,2,2,3,4,5]; const ys = [0,1,2,3,3,3,6,7,8,9]; // unique result console.log( intersect(dedupe(xs)) (ys) );

计算任意数量数组的交集

如果你想计算任意数量的数组的交点，只需用compose intersect和foldl。这是一个方便函数:

// auxiliary functions const apply = f => x => f(x); const uncurry = f => (x, y) => f(x) (y); const createSet = xs => new Set(xs); const filter = f => xs => xs.filter(apply(f)); const foldl = f => acc => xs => xs.reduce(uncurry(f), acc); // intersection const intersect = xs => ys => { const zs = createSet(ys); return filter(x => zs.has(x) ? true : false ) (xs); }; // intersection of an arbitrarily number of Arrays const intersectn = (head, ...tail) => foldl(intersect) (head) (tail); // mock data const xs = [1,2,2,3,4,5]; const ys = [0,1,2,3,3,3,6,7,8,9]; const zs = [0,1,2,3,4,5,6]; // run console.log( intersectn(xs, ys, zs) );

解决它 从索引0开始逐一检查，然后创建一个新数组。

像这样的东西，不过测试不太好。

function intersection(x,y){
 x.sort();y.sort();
 var i=j=0;ret=[];
 while(i<x.length && j<y.length){
  if(x[i]<y[j])i++;
  else if(y[j]<x[i])j++;
  else {
   ret.push(x[i]);
   i++,j++;
  }
 }
 return ret;
}

alert(intersection([1,2,3], [2,3,4,5]));

PS:该算法仅适用于数字和普通字符串，任意对象数组的交集可能无法工作。

.reduce生成地图，.filter找到交叉路口。.filter中的Delete允许我们将第二个数组视为唯一的集合。

function intersection (a, b) {
  var seen = a.reduce(function (h, k) {
    h[k] = true;
    return h;
  }, {});

  return b.filter(function (k) {
    var exists = seen[k];
    delete seen[k];
    return exists;
  });
}

我发现这种方法很容易解释。它在常数时间内运行。