Finding Hyperbolic Cosine of Specified Number in Golang

Last Updated : 01 Apr, 2020

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 hyperbolic cosine of the specified number with the help of the Cosh() 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 Cosh() function.

Syntax:

func Cosh(y float64) float64

If you pass +Inf or -Inf in this function, then this function will return +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 1.

Example 1:

// Golang program to illustrate how to find
// the hyperbolic cosine of the given number
  
package main
  
import (
    "fmt"
    "math"
)
  
// Main function
func main() {
  
    // Finding the hyperbolic 
    // Cosine of the given value
    // Using Cosh() function
    res_1 := math.Cosh(math.Pi / 4)
    res_2 := math.Cosh(math.Inf(-3))
    res_3 := math.Cosh(0)
    res_4 := math.Cosh(math.NaN())
    res_5 := math.Cosh(math.Pi)
  
    // 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: 1.3
Result 2: +Inf
Result 3: 1.0
Result 4: NaN
Result 5: 11.6

Example 2:

// Golang program to illustrate how to find
// the hyperbolic cosine of the given number
  
package main
  
import (
    "fmt"
    "math"
)
  
// Main function
func main() {
  
    // Finding hyperbolic cosine 
    // of the given number
    nvalue_1 := math.Cosh(math.Pi / 3)
    nvalue_2 := math.Cosh(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:

1.6 + 1.1 = 2.7

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