1. 堆算法Top,时间复杂度 O(LogN)
2. 调用K次堆实现,时间复杂度为 O(K * LogN)
3.測试
function top(arr,comp){ if(arr.length == 0){return ;} var i = arr.length / 2 | 0 ; for(;i >= 0; i--){ if(comp(arr[i], arr[i * 2])){exch(arr, i, i*2);} if(comp(arr[i], arr[i * 2 + 1])) {exch(arr, i, i*2 + 1);} } return arr[0]; } function exch(arr,i,j){ var t = arr[i]; arr[i] = arr[j]; arr[j] = t; }
2. 调用K次堆实现,时间复杂度为 O(K * LogN)
function topK(arr,n,comp){ if(!arr || arr.length == 0 || n <=0 || n > arr.length){ return -1; } var ret = new Array(); for(var i = 0;i < n; i++){ var max = top(arr,comp); ret.push(max); arr.splice(0,1); } return ret; }
3.測试
var ret = topK(new Array(16,22,91,0,51,44,23),3,function (a,b){return a < b;}); console.log(ret);