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Php随机数生成

[英]Php random number generate

My task: 我的任务:

Generate random numbers between 1 and 20, to 1 decimal place. 生成1到20之间的随机数,小数点后1位。

However my issue as simple as mt_rand. 但是我的问题就像mt_rand一样简单。 I want most of the numbers generated to be lower around 0.5 - 4.5 with the occasional number being between 4.5-10 and very rarely say once every 12-20 hours being between 10-20. 我希望生成的大部分数字在0.5到4.5之间较低,偶尔的数字在4.5-10之间,很少说每12-20小时一次在10-20之间。

I've been using the following but have no idea where to go from. 我一直在使用以下,但不知道从哪里去。 I am a very basic self-taught programmer. 我是一个非常基本的自学成才的程序员。

$min = 1;
$max = 20;
$suisse_interest = mt_rand ($min*10, $max*10) / 10

Maybe if I briefly explain why I want this it may help.. 也许如果我简单地解释为什么我想要它可能有帮助..

I own an online game and want to add 3 "banks" with each bank generating different interests each hour. 我拥有一个在线游戏,并希望每个小时增加3个“银行”,每个小时产生不同的兴趣。 Most of the time I want it low, but sometimes higher and very rarely very high (15-20%). 大多数时候我想要它低,但有时更高,很少很高(15-20%)。

With the above code the random number goes too high to often. 使用上面的代码,随机数经常变得太高。

Any help with this is greatly appreciated! 非常感谢任何帮助!

You need an exponential calculation. 你需要一个指数计算。 If you use a function similar to the following function, the probability for low numbers increases. 如果使用类似于以下函数的函数,则低数字的概率会增加。 Of course you need to adapt the numbers a bit to provide an output suiting your needs. 当然,您需要调整一些数字以提供适合您需求的输出。

$i = 0;
while($i<30) {
    $i++;
    $rand = mt_rand(0, 7000) / 100; // 0.0 ~ 70.0
    // This is the most important line:
    $output = round( 20*(pow(0.95,$rand)) , 1);
    echo "$output ";
}

Sample output: 样本输出:

1.8  4.3  2.6  5.5  3.7  15.5  1.6  0.6  0.6  1.6  5.8  
1.3  6.1  3.2  0.8  1.7  14.7  7.9  1.3  10.3  5.5  12.6  
1.5  8.4  1.5  0.9  13.3  5.8  7.5  1.7

As you see, mostly smaller number are printed. 如您所见,打印的数字通常较小。

图表

The probability to get 20 is around 1.4% in my code whereas the probability to get a number smaller than 5 is around 78% 在我的代码中获得20的概率约为1.4% ,而获得smaller than 5的数字的概率约为78%

Try this.The probability to 1.0~4.5 is around 96%, 4.5~10.0 is around 2%, and 10.0~20.0 is around 2%. 试试这个.1.0~4.5的概率约为96%,4.5~10.0约为2%,10.0~20.0约为2%。

<?php
    // 1.0~4.5    96%
    // 4.5~10.0   2%
    // 10.0~20.0  2%

    function fun() {
        $num = mt_rand(1, 100);
        if ($num > 0 && $num <= 96) {
            $return = mt_rand(10, 45) / 10;  // 96%
        } else if ($num > 96 && $num <= 98) {
            $return = mt_rand(45, 100) / 10;  // 2%
        } else {
            $return = mt_rand(100, 200) / 10;  // 2%
        }
        return sprintf("%01.1f",$return);
    }

    echo fun();
?>

This is not a PHP-specific problem. 这不是特定于PHP的问题。

What you need is a non-linear probability law, that you can then implement in PHP. 您需要的是一个非线性概率法,然后您可以在PHP中实现。

If you want something centered around an average value, the ideal would be a gaussian aka normal distribution , but computing it requires various complicated tricks, most of them being optimized for rapid generation at the cost of increasing complexity. 如果你想要一个以平均值为中心的东西,那么理想的是高斯即正态分布 ,但计算它需要各种复杂的技巧,其中大多数都是为了快速生成而优化,但代价是增加了复杂性。

If you generate only a few values each hour, performance will not be an issue. 如果每小时只生成几个值,则性能不会成为问题。

A reasonable approximation would be to sum 3 or 4 random variables, taking advantage of the central limit theorem . 合理的近似是利用中心极限定理对3或4个随机变量求和。

Summing random values between 0 and twice your middle rate will create an approximation of a gaussian centered around your middle value. 将中间速率的0到2之间的随机值相加将创建以中间值为中心的高斯近似值。 You can then clamp values inferior to the middle point if you don't want low rates. 如果您不想要低费率,则可以将值限制在中间点以下。 The net result would be 50% chances of getting middle rate and a steadily decreasing chance to get up to twice that value. 最终结果是获得中间率的几率为50%,并且获得两倍该值的机会稳步下降。

An increasing number of sums will "narrow" the curve, making it less likely to get a high value. 越来越多的总和将“缩小”曲线,使其不太可能获得高价值。

for instance: 例如:

define ("INTEREST_MEAN", 10);
define ("INTEREST_SPREAD", 5);
function random_interest ()
{
    $res = 0;
    for ($i = 0 ; $i != INTEREST_SPREAD ; $i++) $res += mt_rand(0, 2*INTEREST_MEAN);
    $res /= INTEREST_SPREAD; // normalize the sum to get a mean-centered result
    $res = max ($res, INTEREST_MEAN); // clamp lower values
}

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