What is the meaning of 'exp' in this math expression?

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The term "exp" in the math expression refers to the exponential function, where exp(x) equals e raised to the power of x. This notation is often used to simplify complex mathematical expressions, especially when dealing with fractions in exponents. The exponential function is defined as a constant (approximately 2.71828, known as Euler's number) multiplied by the input raised to a power. It serves as the inverse function to the natural logarithm. Understanding "exp" is essential for interpreting mathematical expressions involving exponential growth or decay.
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What does "exp" mean?

I have a math expression which has what appears to be a function called exp() and I don't know what it means. It's on this site right here http://www.nasatech.com/Briefs/Jan98/LEW16501.html

Here is the link to the picture of the expression itself.
http://www.nasatech.com/Briefs/Jan98/Images/LEW16501_eq.gif

Does anybody know what exp is?
 
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"exp" means "exponential" function.
In other words, exp(x)= ex. It's used when it is to much trouble or too expensive to Add superscript on top of superscript. The example you give would have a fraction in the exponent. Actually, nowadays, with computerized word processors, it's relatively easy to print complex expressions and you don't see "exp" as much.

Let's see if it works in "tex":

r= D[e^{\frac{-1}{RT}\frac{\partial G}{\partial X}}-1]

I wrote this originally, assuming that the question was only that "exp" seemed unusual. ex is, simply, the number e (about 2.18) to the x power. It is the inverse function to natural logarithm.
 
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means experience :p
 
The exponential function is a function in which the output is a constant multiplied by the input raised to a power. Example: If y = e^x, then y = e^x = 2.71828... This output is a constant which is 2.71828... multiplied by the input. This constant is called Euler's number or Napier's constant.
 
Good morning I have been refreshing my memory about Leibniz differentiation of integrals and found some useful videos from digital-university.org on YouTube. Although the audio quality is poor and the speaker proceeds a bit slowly, the explanations and processes are clear. However, it seems that one video in the Leibniz rule series is missing. While the videos are still present on YouTube, the referring website no longer exists but is preserved on the internet archive...

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