“factorial”的中文翻译是“阶乘”。 发音:如果你将重音放在第一个音节“fact”上,然后轻读“orial”,就能比较接近它的正确发音。 含义:阶乘是指从1乘以2乘以3一直乘到某一个指定的数n,所得到的积就叫做n的阶乘,通常表示为n!。例如,5的阶乘就是1×2×3×4×5=120。 例句:The factorial of 5 is 120....
Factorial of a positive number n is the product of that number with all the whole numbers that come before till 1. i.e., n factorial is calculated by the formula n! = n * (n - 1) * (n - 2) * ... * 3 * 2 * 1.
作为名词,factorial 指的是一个数学概念,表示从 1 到给定整数的所有正整数的乘积。例如,“The factorial of five (5 x 4 x 3 x 2 x 1) is 120. ”(5 的阶乘(5×4×3×2×1)是 120。) 作为形容词,factorial 表示与阶乘或因子有关的。比如,“A full factorial model was used to assess important...
Factorial of a number n is defined the product of all numbers below it till 1 including n. It is denoted as n! Learn how to find the factorial of a number along with formulas and examples here at BYJU'S.
Table of Factorials from 1! to 15! Number (n)Factorial (n!) 0 1 1 1 2 2 3 6 4 24 5 120 6 720 7 5040 8 40320 9 362880 10 3628800 11 39916800 12 479001600 13 6227020800 14 87178291200 15 1307674368000 You may also be interested in our Summation Calculator ...
上述代码中,我们定义了一个factorial函数,它接收一个整数n作为参数,并返回n的阶乘结果。在函数内部,我们使用递归的方式计算阶乘,当n等于0时,返回1,否则返回n乘以factorial(n-1)的结果。 对于输入为5的情况,上述代码将输出"The factorial of 5 is 120",即5的阶乘结果为120。
This function is used to return the factorial of a.The return value is of the BIGINT type.If the value of a is 0, 1 is returned.If the value of a is NULL or outside the r
4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 输出结果Factorial of 1 is: 1 Factorial of 2 is: 2 Factorial of 3 is: 6 Factorial of 4 is: 24 Factorial of 5 is: 120
With this, the factorial of 100 can be understood in a better way. Also see: What Is Factorial Notation? Table of factorials Here, the table of factorials has been given for numbers from 1 to 20. n n! 1 1 2 2 3 6 4 24 5 120 6 720 7 5040 8 40320 9 362880 10 3628800 11 39...
print(f"The factorial of {n} is: {factorial}") Output: The factorial of 5 is: 120 Example 2: Comparing NumPy with Python's Built-in math.factorial Code: # Import the NumPy library import numpy as np # Import the math library for comparison ...