random number; number by chance

简明释义

随机数,随机数字

英英释义

A random number is a number generated in such a way that it is impossible to predict the next value based on previous values, often used in statistical sampling and computer simulations.

随机数是以一种方式生成的数字,使得无法根据之前的值预测下一个值,通常用于统计抽样和计算机模拟中。

A number by chance refers to a number that is selected without any specific method or pattern, resulting in an outcome that is determined purely by luck.

偶然数字指的是没有任何特定方法或模式选择的数字,结果完全由运气决定。

例句

1.In this game, players are given a random number; number by chance to determine their starting position.

在这个游戏中,玩家会获得一个随机数;偶然产生的数字来决定他们的起始位置。

2.The winning random number; number by chance was announced on live television.

获胜的随机数;偶然产生的数字在直播电视上公布。

3.To ensure fairness in the lottery, each ticket is assigned a random number; number by chance.

为了确保彩票的公平性,每张票都被分配了一个随机数;偶然产生的数字

4.During the experiment, we used a random number; number by chance generator to select participants.

在实验过程中,我们使用了一个随机数;偶然产生的数字生成器来选择参与者。

5.The computer generated a random number; number by chance for the password to enhance security.

计算机生成了一个随机数;偶然产生的数字作为密码,以增强安全性。

作文

In the realm of mathematics and computer science, the concept of a random number; number by chance holds significant importance. A random number; number by chance is a value generated in such a way that each possible value has an equal probability of being chosen. This randomness is crucial in various applications, from statistical sampling to cryptographic algorithms. Understanding how random numbers; numbers by chance work can help us appreciate their role in our daily lives and technological advancements.For instance, consider the use of random numbers; numbers by chance in gaming. Many video games use these numbers to determine outcomes, such as whether a player wins or loses a round. The fairness of these games often relies on the quality of the random numbers; numbers by chance generated. If the numbers are not truly random, players may feel cheated, leading to dissatisfaction and a lack of trust in the game developers.Moreover, in the field of statistics, random numbers; numbers by chance are essential for conducting surveys and experiments. Researchers often use random numbers; numbers by chance to select a sample from a larger population, ensuring that every individual has an equal chance of being included in the study. This method helps eliminate bias, allowing researchers to draw more accurate conclusions from their data.Another critical application of random numbers; numbers by chance is in cryptography. Secure communication relies heavily on the generation of random numbers; numbers by chance. For example, when creating encryption keys, it is vital that these keys are unpredictable. If an attacker can guess or calculate the keys, the entire security system can be compromised. Therefore, cryptographic systems utilize random numbers; numbers by chance to enhance their security measures.Furthermore, the generation of random numbers; numbers by chance can be achieved through various methods. One common approach is using algorithms known as pseudorandom number generators (PRNGs). These algorithms produce sequences of numbers that appear random but are actually determined by an initial value called a seed. While PRNGs are useful in many applications, they can sometimes fall short in terms of true randomness, especially in high-stakes environments like cryptography.In contrast, true random number generators (TRNGs) derive their randomness from physical processes, such as electronic noise or radioactive decay. This method guarantees a higher level of unpredictability, making TRNGs preferable for applications requiring robust security. However, TRNGs can be more expensive and complex to implement compared to PRNGs.In conclusion, the significance of random numbers; numbers by chance cannot be overstated. From ensuring fairness in gaming to enhancing the accuracy of scientific research and fortifying cryptographic systems, random numbers; numbers by chance play a pivotal role in our modern world. As technology continues to advance, the demand for reliable and secure methods of generating random numbers; numbers by chance will only grow, highlighting the need for ongoing research and innovation in this field. Understanding the intricacies of random numbers; numbers by chance is essential for anyone looking to navigate the complexities of mathematics, statistics, and technology in today's society.

在数学和计算机科学领域,随机数;偶然产生的数字的概念具有重要意义。随机数;偶然产生的数字是以一种方式生成的值,使得每个可能的值被选择的概率相等。这种随机性在各种应用中至关重要,从统计抽样到加密算法。理解随机数;偶然产生的数字的工作原理可以帮助我们欣赏它们在日常生活和技术进步中的作用。例如,考虑在游戏中使用随机数;偶然产生的数字。许多视频游戏使用这些数字来决定结果,例如玩家是否赢得一轮。游戏的公平性往往依赖于生成的随机数;偶然产生的数字的质量。如果这些数字不是完全随机的,玩家可能会感到受到欺骗,这会导致不满和对游戏开发者缺乏信任。此外,在统计学领域,随机数;偶然产生的数字对于进行调查和实验至关重要。研究人员通常使用随机数;偶然产生的数字从更大的群体中选择样本,确保每个个体都有相等的机会被纳入研究。这种方法有助于消除偏见,使研究人员能够从数据中得出更准确的结论。随机数;偶然产生的数字的另一个关键应用是加密术。安全通信在很大程度上依赖于随机数;偶然产生的数字的生成。例如,在创建加密密钥时,确保这些密钥不可预测至关重要。如果攻击者能够猜测或计算出密钥,整个安全系统就可能被破坏。因此,加密系统利用随机数;偶然产生的数字来增强其安全措施。此外,随机数;偶然产生的数字的生成可以通过各种方法实现。一种常见的方法是使用称为伪随机数生成器(PRNG)的算法。这些算法生成的数字序列看起来是随机的,但实际上是由一个称为种子的初始值决定的。虽然PRNG在许多应用中很有用,但在高风险环境(如加密)中,它们有时可能无法提供真正的随机性。相比之下,真正的随机数生成器(TRNG)从物理过程(如电子噪声或放射性衰变)中获取随机性。这种方法保证了更高水平的不可预测性,使TRNG在需要强大安全性的应用中更受欢迎。然而,与PRNG相比,TRNG的实施可能更昂贵和复杂。总之,随机数;偶然产生的数字的重要性不容小觑。从确保游戏的公平性到提高科学研究的准确性,再到加强加密系统,随机数;偶然产生的数字在我们现代世界中发挥着关键作用。随着技术的不断进步,对可靠和安全的随机数;偶然产生的数字生成方法的需求只会增加,这突显了在这一领域持续研究和创新的必要性。理解随机数;偶然产生的数字的复杂性对于任何希望在当今社会中驾驭数学、统计和技术复杂性的人来说都是至关重要的。

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