美國留學(xué)選擇什么專業(yè)好?留學(xué)美國熱門專業(yè)推薦
2019-06-26
更新時(shí)間:2024-04-22 23:58作者:小編
英: 美:
常見釋義:
[數(shù)]隨機(jī)數(shù)
1、C program of random number generation procedures.───C++程序?qū)崿F(xiàn)的各種隨機(jī)數(shù)的生成程序.
2、Is your random number.───就是您的隨機(jī)數(shù)。
3、A computerized random - number generator was used to draw up an allocation schedule.───使用計(jì)算機(jī)隨機(jī)號(hào)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(jī)數(shù)發(fā)生器.
5、VIA HW Random Number Generator support.───AMDGeodeLX的硬件隨機(jī)數(shù)發(fā)生器.
6、Themodel is composed of password, random number and isomorphic puzzle.───該模式由口令 、 隨機(jī)數(shù)和同構(gòu)難題構(gòu)成.
7、Generate Random number source code integrity, and can be used directly.───生成隨機(jī)數(shù)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(jī)數(shù)生成器.
9、Random Number Generation super small procedures.───生成超大隨機(jī)數(shù)的小程序.
10、Random number and correlated stochastic series have great value in simulation area.───隨機(jī)數(shù)與相關(guān)隨機(jī)序列在仿真領(lǐng)域有重要的應(yīng)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?gòu)建塊,它允許您獲取1到10或1或100之間的隨機(jī)數(shù)。
12、Analysis shows that this true random number generator has good performance.───分析表明,該真隨機(jī)數(shù)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(jī)數(shù)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(qū)間內(nèi)的任意數(shù)值.
15、A parallel random number generator capable of MC parallel computing is proposed.───針對(duì)MC并行計(jì)算設(shè)計(jì)了一種理想情況下無通信的并行隨機(jī)數(shù)發(fā)生器算法.
16、AMD HW Random Number Generator support.───Intel芯片組的硬件隨機(jī)數(shù)發(fā)生器.
17、Development of random number generator is prospected i n t he end.───最后,對(duì)隨機(jī)數(shù)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(jī)數(shù)產(chǎn)生器。
1、baryon number───質(zhì)量數(shù);重子數(shù)
2、index number───物價(jià)或人口指數(shù)
3、rational number───[數(shù)]有理數(shù)
4、quantum number───[量子]量子數(shù)
5、Prandtl numbers───普朗特?cái)?shù)
6、random numbers───隨機(jī)數(shù)
7、Prandtl number───普朗特?cái)?shù)
8、random rubble───亂砌毛石
9、quantum numbers───量子數(shù)
Random.Next 生成一個(gè)值范圍在零與Int32.MaxValue 之間的隨機(jī)數(shù)。若要生成值范圍在零與其他某個(gè)正數(shù)之間的隨機(jī)數(shù),請(qǐng)使用Random.Next(Int32) 方法重載。若要生成在不同范圍內(nèi)的隨機(jī)數(shù),請(qǐng)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(jī)數(shù)。為保證每次獲得的隨機(jī)數(shù)不同,可以考慮:增大兩次間隨機(jī)間隔 Sleep(1000), 或者delay一下?;蛘卟捎脮r(shí)間點(diǎn)的種子。可以考慮采用一下2種方法:
(1)產(chǎn)生一顆隨機(jī)種子??梢允褂肈ateTime.Now.Millisecond。
我測(cè)試了采用DateTime.Now.Millisecond方法作為種子,產(chǎn)生相同數(shù)字的概率很大;甚至讓線程sleep 5000,都沒能解決。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(shù)字產(chǎn)生。
[csharp] view plain copy
Random rand = new Random(Guid.NewGuid().Ge