从角度转换为弧度并返回,留下非常小的剩余部分
因此,我有以下JavaScript代码:
function dosine(){
var num = document.getElementById('num').value;
console.log(num);
num = (num*Math.PI)/180;
num = Math.sin(num);
numinverse = Math.asin(num);
num = num * (180/Math.PI);
numinverse = numinverse * (180/Math.PI);
document.getElementById('resultsine').innerHTML = "Sine: " + num.toString();
document.getElementById('resultinverse').innerHTML = "Inverse Sine: " + numinverse.toString();
}
当我运行此代码并输入任何数字时(在这种情况下,我使用64用于测试)Numinverse返回64.00000000000001,我只是想知道为什么这是。显然,我可以使用Tofixed解决此问题,但是我想知道为什么这首先会发生。
So I have the following javascript code:
function dosine(){
var num = document.getElementById('num').value;
console.log(num);
num = (num*Math.PI)/180;
num = Math.sin(num);
numinverse = Math.asin(num);
num = num * (180/Math.PI);
numinverse = numinverse * (180/Math.PI);
document.getElementById('resultsine').innerHTML = "Sine: " + num.toString();
document.getElementById('resultinverse').innerHTML = "Inverse Sine: " + numinverse.toString();
}
When I run this code and put in any number (in this case I used 64 for testing) the numinverse returns 64.00000000000001, I was just wondering why this is. I could obviously solve this by using toFixed, but I was wondering why this happened in the first place.
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这可能是相同的,为什么0.1 + 0.2≠0.3
值是浮点数,并且行为不太准确。在您的情况下,您还可以创建一些将整数值映射到Readians的标签表,但是它不会涵盖整个频谱。
This could be the same why 0.1 + 0.2 ≠ 0.3
The value is a floating point number and doesn't behave very accurately. In your case you could also create some hash tables mapping integer degrees values to radians but yet it wouldn't cover the whole spectrum.