Library Function Math h log()
Log() library function in Math
The log() function is a mathematical function that is used to calculate the natural logarithm of a number. In programming, the log() function is often found in the math library in various programming languages. Here is the theory of how the library function h log() in C is used.The C log() function enumerates the natural logarithm of an argument.
Library Function Math h log()
In C, the log() function is used to compute the natural logarithm of a number. The natural logarithm is the base-e logarithm, which is the inverse of the exp() function. The log() function is declared in the math.h header file, so you’ll need to include that in your program in order to use the log() function.
Here is an example of how to use the log() function in C:
#include<stdio.h>
#include<conio.h>
int main()
{
double x = 2.0;
double y = log(x);
printf("The natural logarithm of %f is %f\n", x, y);
return 0;
}
Output
The natural logarithm of 2.000000 is 0.693147
Some facts about Clog() function
In C, the log() function is a part of the math library and can be used to calculate the natural logarithm of a number. To use the log() function in C, you will need to include the math.h header file at the top of your program.
The log() function takes a single argument, which is the number for which you want to calculate the natural logarithm. The function returns a double-precision floating-point value that represents the natural logarithm of the input number.
It’s worth noting that the log() function can only be used with positive numbers. If you pass a negative number or zero to the log() function, it will return -inf (negative infinity).
C log() Arguments
The log() function in C takes a single argument, which is the number for which you want to calculate the natural logarithm. The argument must be a double-precision floating-point value.
Here is the syntax for the log() function in C:
double log(double x);
The argument x is the number for which you want to calculate the natural logarithm. It must be a double-precision floating-point value.
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