Rya*_*mes 7 javascript arrays sorting performance
我写了一个解决方案来获取通过表单输入的整数列表.有用.它为您提供了两个最大整数的总和,并将其发布在DOM中.但是,对于100万个整数的大型数组来说,它并不是非常有效.
如何才能提高此解决方案的效率.
// This function reverses the order of the array and places the biggest numbers first
function sortNumber(a, b) {
return b - a;
}
// this function is used to ensure the user didn't enter any letters
function getArray() {
var alphaExp = /^[a-zA-Z]+$/;
// This function takes the array, orders it, adds the sum of the two largest numbers and returns the value
function sumOf(x) {
// Sort the ary with the sortNumber function
array.sort(sortNumber);
// Then we add the two biggest numbers of the array and save it to the result variable.
var result = array[0] + array[1];
// Then we share the result with the user by updating the browser
var myHeading = document.querySelector('h2');
myHeading.textContent = "The sum of your two biggest numbers is: " + result;
// Like a good student, it's important to show your work
var showYourWork = document.querySelector('h3');
showYourWork.textContent = array[0] + " + " + array[1] + " = " + result;
}
// This grabs the value of the input
var arrayField = document.getElementById('arrayField').value;
if (arrayField.match(alphaExp)) {
// Fail if user enters letters
var raiseError = document.querySelector('h5');
raiseError.textContent = 'No not letters! We want numbers!!';
} else {
var array = JSON.parse("[" + arrayField + "]");
if (arrayField.length < 2) {
// If the user enters only 1 number, tell them to enter more!
var raiseError = document.querySelector('h5');
raiseError.textContent = 'Please enter atleast two numbers seperated by commas for us to add!'
} else {
// When the user enters a list of numbers, run the sumOf function.
sumOf(arrayField);
//Make the error go away
var raiseError = document.querySelector('h5');
raiseError.textContent = '';
}
}
};
// use an eventlistener for the event (This is where the magic happens)
var subButton = document.getElementById('subButton');
subButton.addEventListener('click', getArray, false);
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您不必对其进行排序,只需线性搜索两个最大的:
编辑:下面的代码现在应该可以工作,并且比OP的代码渐近更快。OP 首先进行排序,假设有一个随机列表,这可以在 O(n log n) 内完成。O(cn)我的代码对with中的列表进行线性搜索c = 2(这两个循环不是必需的,但很简单)。ceil(n log n) = 2n正整数的解决方案n是 14,即对于每个长度超过 14 个条目的列表,下面的代码更快。例如:对于一百万个条目,关系是 13,815,511 到 2,000,000,快了六倍多。您可以在单个循环中执行相同的操作,从而将运行时间减半(理论上,但由于更好的局部性,它也会快一点)。
function maxtwo_wrong(a){
var b1 = -Infinity;
var b2 = -Infinity;
for (var i=0; i < a.length; i++) {
if (a[i] > b1) {
b1 = a[i];
}
}
for (var i=0; i < a.length; i++) {
if (a[i] > b2 && a[i] < b1) {
b2 = a[i];
}
}
return [b1,b2];
}
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EDIT-2:上面的代码maxtwo_wrong似乎不符合要求,所以我又写了一个maxtwo_right放在下面。OP,请告诉我哪一个满足您的要求,以便我删除错误的。
EDIT-3:使其更简单且正确。
function maxtwo_right(a){
var b1 = -Infinity;
var b2 = -Infinity;
for (var i=0; i < a.length; i++) {
// If the current entry is bigger than variable b1
// keep the old value in the variable b2 and set b1 to the
// value of the current entry
if (a[i] > b1) {
b2 = b1;
b1 = a[i];
}
// if the current entry equals b1 set the variable b2 to
// the value of the current entry
else if(a[i] === b1){
b2 = a[i];
}
}
// return the sum of the two variables as requested
return b1 + b2;
}
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