Y exp x description.
What does exp mean in matlab.
If a is a vector then mean a returns the mean of the elements.
Y exp x returns the exponential for each element of x for complex it returns the complex exponential.
The data type of y is the same as that of x.
The exp function is an elementary function that operates element wise on arrays.
Its domain includes complex numbers.
It is used to create vectors subscript arrays and specify for iterations.
Use expm for matrix exponentials.
If a is a multidimensional array then mean a operates along the first array dimension whose size does not equal 1 treating the elements as vectors.
By staff writer last updated apr 14 2020 4 20 46 pm et.
The parameter μ is also equal to the standard deviation of the exponential distribution.
A common alternative parameterization of the exponential distribution is to use λ defined as the mean number of events in an interval as opposed to μ which is the mean wait time for an event to occur.
Expm log log10 expint.
An exponent is a number placed after another number to indicate the power to which the former number is to be raised.
The expression 5 exp 2 for example means 5 raised to the second power.
Sum sum ii ans 2 how does matlab store the values in the matrix so that operations on individual elements can give a different result than when doing the same operation on the matrix itself.
Exponential values returned as a scalar vector matrix or multidimensional array.
For real values of x in the interval inf inf y is in the interval 0 inf for complex values of x y is complex.
Exp 227 2 6011e 99 exp 93 2 4512e 40 but if i exp the entire matrix this matrix has inf values.
The standard exponential distribution has μ 1.
This dimension becomes 1 while the sizes of all other dimensions remain the same.
Exponential values returned as a scalar vector matrix or multidimensional array.
If you want to create a row vector containing integers from 1 to 10 you write.
What does exp mean in math.
If a is a matrix then mean a returns a row vector containing the mean of each column.
The data type of y is the same as that of x.
