Dhr*_*ruv 5 java random math precision
我正在尝试生成一个整数数组,其中包含与特定值相加的randoms.这是我的代码:
private long[] getRandoms(long size , long sum) throws Exception {
double iniSum = 0;
System.out.println("sum = " + sum);
long[] ret = new long[(int) size];
for (int i = 0 ; i < ret.length; i++) {
ret[i] = randomInRange(1, sum);
iniSum += ret[i];
}
double finSum = 0;
for (int i = 0 ; i < ret.length; i++) {
ret[i] = Math.round((sum * ret[i]) / iniSum);
System.out.println("ret[" + i +"] = " + ret[i]);
finSum += ret[i];
}
if (finSum != sum) throw new Exception("Could not find " + size + " numbers adding up to " + sum + " . Final sum = " + finSum);
return ret;
}
private long randomInRange(long min , long max) {
Random rand = new Random();
long ret = rand.nextInt((int) (max - min + 1)) + min;
System.out.println("ret = " + ret);
return ret;
}
Run Code Online (Sandbox Code Playgroud)
但是,结果并不准确,例如:
找不到100个数字加起来4194304.最终总和= 4194305.0
我想我在这方面失去了准确性:
(sum * ret[i]) / iniSum
Run Code Online (Sandbox Code Playgroud)
您能否在我的代码中推荐替代算法或修复程序,以帮助我实现此目标?
每次使用缩放值时ret[i] = Math.round((sum * ret[i]) / iniSum),都会失去一些精度,部分来自除法运算本身,但主要是将缩放值存储为整数.后一种情况类似于比例选举制度,其中少数席位必须分配给更多的选票.
减轻这种情况的两种方法:
首先缩放列表中的所有值,但要跟踪理想缩放值(实数)和存储的缩放值之间的差异.使用截断而不是舍入,使得差异始终是正的.如果存在差异,您可以按理想量和当前存储量之间的差值的顺序递增一些值.
long finSum = 0; // Might as well be a long
float[] idealValues = new float[size];
for (int i = 0 ; i < ret.length; i++) {
ideal[i] = (sum * ret[i]) / iniSum;
ret[i] = (long) (ideal[i]); // Truncate, not round
System.out.println("ret[" + i +"] = " + ret[i]);
finSum += ret[i];
}
/* There are iniSum - finSum extra amounts to add. */
for (int i = 0; i < iniSum - finSum; i++)
{
/* Pick a target slot to increment. This could be done by keeping a priority queue. */
int target = 0;
float bestScore = 0.0;
for (int j = 0; j < size; j++) {
float score = (ideal[j] - ret[j])/ret[j];
if (score > bestScore) {
target = j;
bestScore = score;
}
}
/* Allocate an additional value to the target. */
ret[target]++;
}
Run Code Online (Sandbox Code Playgroud)
或者更简单地说,您可以将列表中的最后一个值设置为缩放后执行所有其他值.但是,这确实会使输出产生偏差.