1、random number

random number發(fā)音

英：　　美：

random number中文意思翻譯

常見(jiàn)釋義：

[數]隨機數

random number雙語(yǔ)使用場(chǎng)景

1、C program of random number generation procedures.───C++程序實(shí)現的各種隨機數的生成程序.

2、Is your random number.───就是您的隨機數。

3、A computerized random - number generator was used to draw up an allocation schedule.───使用計算機隨機號碼發(fā)生器擬出分配表.

4、AMD Geode HW Random Number Generator support.───AMD芯片組的硬件隨機數發(fā)生器.

5、VIA HW Random Number Generator support.───AMDGeodeLX的硬件隨機數發(fā)生器.

6、Themodel is composed of password, random number and isomorphic puzzle.───該模式由口令 、 隨機數和同構難題構成.

7、Generate Random number source code integrity, and can be used directly.───生成隨機數源代碼的完整性, 并可以直接使用.

8、Initializes the random number generator.───初始化隨機數生成器.

9、Random Number Generation super small procedures.───生成超大隨機數的小程序.

10、Random number and correlated stochastic series have great value in simulation area.───隨機數與相關(guān)隨機序列在仿真領(lǐng)域有重要的應用價(jià)值.

11、Recall that very basic building block we introduced last week which allowed you to grab a random number between 1 and 10 or 1 or a hundred.───回想一下我們上周介紹的非?；镜臉嫿▔K，它允許您獲取1到10或1或100之間的隨機數。

12、Analysis shows that this true random number generator has good performance.───分析表明,該真隨機數發(fā)生器具有良好的性能.

13、This program will continuously generate random number until user to quit.───這程式會(huì )不斷地產(chǎn)生隨機數目,直至用者終止其工作.

14、Returns a random number between min and max ( inclusive ).───返回最小和最大 ( 包含 ) 區間內的任意數值.

15、A parallel random number generator capable of MC parallel computing is proposed.───針對MC并行計算設計了一種理想情況下無(wú)通信的并行隨機數發(fā)生器算法.

16、AMD HW Random Number Generator support.───Intel芯片組的硬件隨機數發(fā)生器.

17、Development of random number generator is prospected i n t he end.───最后,對隨機數生成器的發(fā)展前景作出展望.

18、For example, consider a random number generator.───例如，考慮一個(gè)隨機數產(chǎn)生器。

random number相似詞語(yǔ)短語(yǔ)

1、baryon number───質(zhì)量數；重子數

2、index number───物價(jià)或人口指數

3、rational number───[數]有理數

4、quantum number───[量子]量子數

5、Prandtl numbers───普朗特數

6、random numbers───隨機數

7、Prandtl number───普朗特數

8、random rubble───亂砌毛石

9、quantum numbers───量子數

2、Random random = new Random(System.Guid.NewGuid().GetHashCode());

Random.Next 生成一個(gè)值范圍在零與Int32.MaxValue 之間的隨機數。若要生成值范圍在零與其他某個(gè)正數之間的隨機數，請使用Random.Next(Int32) 方法重載。若要生成在不同范圍內的隨機數，請使用Random.Next(Int32, Int32) 方法重載。

Random() doesn't always work the best. There are two things I do in order to make it work better.

1. Seed random with something, I like to use DateTime.Now.Millisecond. So when I create a new instance, I do something like this: randomNumber = new Random(DateTime.Now.Millisecond);

2. Create one instance of your random number and use it each time you need a random number. Often if you have multiple random number instances and call them in the same iteration through your code, you'll end up getting the same number from each.

Good luck, hope this helps.

但Random.Next()工作并不是很好，經(jīng)常容易獲得相同的隨機數。為保證每次獲得的隨機數不同，可以考慮：增大兩次間隨機間隔 Sleep(1000), 或者delay一下?；蛘卟捎脮r(shí)間點(diǎn)的種子?？梢钥紤]采用一下2種方法：

（1）產(chǎn)生一顆隨機種子?？梢允褂肈ateTime.Now.Millisecond。

我測試了采用DateTime.Now.Millisecond方法作為種子，產(chǎn)生相同數字的概率很大；甚至讓線(xiàn)程sleep 5000，都沒(méi)能解決。所以采用了下面的方法。

（2）采用guide作為種子，這樣可以避免相同的數字產(chǎn)生。

[csharp] view plain copy

Random rand = new Random(Guid.NewGuid().Ge