Finding Inverse Hyperbolic Sine of Specified Number in Golang

Go language provides inbuilt support for basic constants and mathematical functions to perform operations on the numbers with the help of the math package. You are allowed to find the inverse hyperbolic sine of the specified number with the help of Asinh() function provided by the math package. So, you need to add a math package in your program with the help of the import keyword to access the Asinh() function.

Syntax:

func Asinh(y float64) float64

• If you pass +Inf or -Inf in this function, then this function will return +Inf or -Inf.
• If you pass NaN in this function, then this function will return NaN.
• If you pass 0 in this function, then this function will return 0.

Example 1:

// Golang program to illustrate how to find
// the inverse hyperbolic sine of the
// given number

package main

import (
    "fmt"
    "math"
)

// Main function
func main() {

    // Finding the inverse hyperbolic
    // sine of the given value
    // Using Asinh() function
    res_1 := math.Asinh(math.Pi / 2)
    res_2 := math.Asinh(math.Inf(-3))
    res_3 := math.Asinh(0)
    res_4 := math.Asinh(math.NaN())
    res_5 := math.Asinh(1)

    // Displaying the result
    fmt.Printf("Result 1: %.1f", res_1)
    fmt.Printf("\nResult 2: %.1f", res_2)
    fmt.Printf("\nResult 3: %.1f", res_3)
    fmt.Printf("\nResult 4: %.1f", res_4)
    fmt.Printf("\nResult 5: %.1f", res_5)
}

Output:

Result 1: 1.2
Result 2: -Inf
Result 3: 0.0
Result 4: NaN
Result 5: 0.9

Example 2:

// Golang program to illustrate how to find
// the inverse hyperbolic sine of the
// given number

package main

import (
    "fmt"
    "math"
)

// Main function
func main() {

    // Finding inverse hyperbolic
    // sine of the given number
    nvalue_1 := math.Asinh(math.Pi / 4)
    nvalue_2 := math.Asinh(math.Pi / 6)

    // Sum of the given values
    res := nvalue_1 + nvalue_2

    // Displaying results
    fmt.Printf("%.1f + %.1f = %.1f",
            nvalue_1, nvalue_2, res)

}

Output:

0.7 + 0.5 = 1.2