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;
}

使用jQuery:

var a = [1,2,3];
var b = [2,3,4,5];
var c = $(b).not($(b).not(a));
alert(c);

与效率无关，但很容易理解，这里有一个集合的并和交的例子，它处理集合的数组和集合的集合。

http://jsfiddle.net/zhulien/NF68T/

// process array [element, element...], if allow abort ignore the result
function processArray(arr_a, cb_a, blnAllowAbort_a)
{
    var arrResult = [];
    var blnAborted = false;
    var intI = 0;

    while ((intI < arr_a.length) && (blnAborted === false))
    {
        if (blnAllowAbort_a)
        {
            blnAborted = cb_a(arr_a[intI]);
        }
        else
        {
            arrResult[intI] = cb_a(arr_a[intI]);
        }
        intI++;
    }

    return arrResult;
}

// process array of operations [operation,arguments...]
function processOperations(arrOperations_a)
{
    var arrResult = [];
    var fnOperationE;

    for(var intI = 0, intR = 0; intI < arrOperations_a.length; intI+=2, intR++) 
    {
        var fnOperation = arrOperations_a[intI+0];
        var fnArgs = arrOperations_a[intI+1];
        if (fnArgs === undefined)
        {
            arrResult[intR] = fnOperation();
        }
        else
        {
            arrResult[intR] = fnOperation(fnArgs);
        }
    }

    return arrResult;
}

// return whether an element exists in an array
function find(arr_a, varElement_a)
{
    var blnResult = false;

    processArray(arr_a, function(varToMatch_a)
    {
        var blnAbort = false;

        if (varToMatch_a === varElement_a)
        {
            blnResult = true;
            blnAbort = true;
        }

        return blnAbort;
    }, true);

    return blnResult;
}

// return the union of all sets
function union(arr_a)
{
    var arrResult = [];
    var intI = 0;

    processArray(arr_a, function(arrSet_a)
    {
        processArray(arrSet_a, function(varElement_a)
        {
            // if the element doesn't exist in our result
            if (find(arrResult, varElement_a) === false)
            {
                // add it
                arrResult[intI] = varElement_a;
                intI++;
            }
        });
    });

    return arrResult;
}

// return the intersection of all sets
function intersection(arr_a)
{
    var arrResult = [];
    var intI = 0;

    // for each set
    processArray(arr_a, function(arrSet_a)
    {
        // every number is a candidate
        processArray(arrSet_a, function(varCandidate_a)
        {
            var blnCandidate = true;

            // for each set
            processArray(arr_a, function(arrSet_a)
            {
                // check that the candidate exists
                var blnFoundPart = find(arrSet_a, varCandidate_a);

                // if the candidate does not exist
                if (blnFoundPart === false)
                {
                    // no longer a candidate
                    blnCandidate = false;
                }
            });

            if (blnCandidate)
            {
                // if the candidate doesn't exist in our result
                if (find(arrResult, varCandidate_a) === false)
                {
                    // add it
                    arrResult[intI] = varCandidate_a;
                    intI++;
                }
            }
        });
    });

    return arrResult;
}

var strOutput = ''

var arrSet1 = [1,2,3];
var arrSet2 = [2,5,6];
var arrSet3 = [7,8,9,2];

// return the union of the sets
strOutput = union([arrSet1, arrSet2, arrSet3]);
alert(strOutput);

// return the intersection of 3 sets
strOutput = intersection([arrSet1, arrSet2, arrSet3]);
alert(strOutput);

// of 3 sets of sets, which set is the intersecting set
strOutput = processOperations([intersection,[[arrSet1, arrSet2], [arrSet2], [arrSet2, arrSet3]]]);
alert(strOutput);

我认为在内部使用一个对象可以帮助计算，也可以提高性能。

//方法维护每个元素的计数，也适用于负元素

function intersect(a,b){
    
    const A = {};
    a.forEach((v)=>{A[v] ? ++A[v] : A[v] = 1});
    const B = {};
    b.forEach((v)=>{B[v] ? ++B[v] : B[v] = 1});
    const C = {};
    Object.entries(A).map((x)=>C[x[0]] = Math.min(x[1],B[x[0]]))
    return Object.entries(C).map((x)=>Array(x[1]).fill(Number(x[0]))).flat();
}
const x = [1,1,-1,-1,0,0,2,2];
const y = [2,0,1,1,1,1,0,-1,-1,-1];
const result = intersect(x,y);
console.log(result);  // (7) [0, 0, 1, 1, 2, -1, -1]

function intersection(A,B){
var result = new Array();
for (i=0; i<A.length; i++) {
    for (j=0; j<B.length; j++) {
        if (A[i] == B[j] && $.inArray(A[i],result) == -1) {
            result.push(A[i]);
        }
    }
}
return result;
}

对这里最小的一个(filter/indexOf解决方案)稍作调整，即使用JavaScript对象在其中一个数组中创建值的索引，将从O(N*M)减少到“可能”线性时间。source1 source2

function intersect(a, b) {
  var aa = {};
  a.forEach(function(v) { aa[v]=1; });
  return b.filter(function(v) { return v in aa; });
}

这不是最简单的解决方案(它的代码比filter+indexOf要多)，也不是最快的解决方案(可能比intersect_safe()慢一个常数因子)，但似乎是一个很好的平衡。它非常简单，同时提供了良好的性能，并且不需要预先排序的输入。