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The factorial of a number is the product of all the whole numbers, except zero, that are less than or equal to that number.

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What is the meaning of mark on in mathematical terms?

Factorial: Denoted by the exclamation mark (!). Factorial means to multiply by decreasing positive integers. For example, 5! = 5 ∗ 4 ∗ 3 ∗ 2 ∗ 1 = 120.


What is the mathematical symbol for factorial?

The symbol for a factorial is the exclamation point (!). For example, 4! = 4*3*2*1 = 24.


What does the exclamation mark mean in mathematical terms?

it means to take the factorial of the number preceding it. ex: 5!=5*4*3*2 0!=1 1!=1 et cetera


What does about mean in mathematical terms?

about in mathematical terms mean to round!


What is the time complexity, in terms of Big O notation, for calculating the factorial of a number?

The time complexity for calculating the factorial of a number is O(n), where n is the number for which the factorial is being calculated.


What is a diamond called in mathematical terms?

In mathematical terms it's called a rhombus.


What does it mean when a factorial is in a parenthesis?

When a factorial is in parentheses, it typically indicates that the entire expression within the parentheses should be evaluated first before applying the factorial operation. For example, (n!) means to first calculate the value of n and then take the factorial of that value. This notation helps clarify the order of operations in mathematical expressions.


What does express mean in mathematical terms?

It means "a Mathematical Expression".


How many ways can a teacher arrange 5 students in the front row of a classroom with a total of 40 students?

40C5 in mathematical language. This corresponds to factorial (40) divided by [ Factorial (40-5) into factorial (5)] or 40 x 39x 38x 37 x 36 / 5x4x3x2x1 or 658008


What is a mathematical element?

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What is a period in mathematical terms?

point


What is the time complexity, in terms of Big O notation, for an algorithm that has a factorial time complexity of O(n!)?

The time complexity of an algorithm with a factorial time complexity of O(n!) is O(n!).