Python math.asinh() Method



The Python math.asinh() method returns the inverse hyperbolic sine of a given number.

The inverse sine method, denoted as sinh-1(x) or sometimes as arcsinh(x), is a mathematical method that retrieves the angle whose sine is a given number x. In other words, if you have a value x between -1 and 1, the inverse sine method will return the angle (in radians) whose sine equals x.

Mathematically, this is expressed as −

sinh-1(x) = angle Θ such that sinh(Θ) = x

This method has a restricted domain and the range of [-∞, +∞].

Syntax

Following is the basic syntax of the Python math.asinh() method −

math.asinh(x)

Parameters

This method accepts a number in the domain of [-∞ to +∞] for which you want to find the inverse hyperbolic sine as a parameter.

Return Value

The method returns the inverse hyperbolic sine of the given number in the range of [-∞ to +∞].

Example 1

The hyperbolic sine of 0 is 0. Therefore, when we pass 0 as an argument to math.asinh() method, it returns 0.0 −

import math
x = 0
result = math.asinh(x)
print(result) 

Output

The output obtained is as follows −

0.0

Example 2

If we pass a fraction value to the math.asinh() method, it returns a real number −

import math
from fractions import Fraction
x = Fraction(5, 4)
result = math.asinh(x)
print(result)  

Output

Following is the output of the above code −

1.0475930126492587

Example 3

In the following example, we are passing a larger value "1000" to the math.asinh() method −

import math
x = 1000
result = math.asinh(x)
print(result) 

Output

The result produced is as shown below −

7.600902709541988

Example 4

In here, we are retrieving the inverse hyperbolic sine of a negative number using the math.asinh() method −

import math
x = -2.0
result = math.asinh(x)
print(result)  

Output

We get the output as shown below −

-1.4436354751788103
python_maths.htm
Advertisements
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy