Finding the Conjugate of the Complex Number in Golang

Last Updated : 27 Mar, 2020

Go language provides inbuilt support for basic constants and mathematical functions for complex numbers with the help of the cmplx package. You are allowed to find the conjugate of the specified complex number with the help of Conj() function provided by the math/cmplx package. So, you need to add a math/cmplx package in your program with the help of the import keyword to access the Conj() function.

Syntax:

func Conj(y complex128) complex128

Let us discuss this concept with the help of the given examples:

Example 1:

// Golang program to illustrate how to find
// conjugate of the given complex number
  
package main
  
import (
    "fmt"
    "math/cmplx"
)
  
// Main function
func main() {
  
    // Finding conjugate of the 
    // specified complex number
    // Using Conj() function
    res_1 := cmplx.Conj(5i)
    res_2 := cmplx.Conj(-1 + 12i)
    res_3 := cmplx.Conj(-7 - 9i)
  
    // Displaying the result
    fmt.Printf("Result 1: %.1f", res_1)
    fmt.Printf("\nResult 2:  %.1f", res_2)
    fmt.Printf("\nResult 3:  %.1f", res_3)
}

Output:

Result 1: (0.0-5.0i)
Result 2: (-1.0-12.0i)
Result 3: (-7.0+9.0i)

Example 2:

// Golang program to illustrate how to find
// conjugate of the given complex number
  
package main
  
import (
    "fmt"
    "math/cmplx"
)
  
// Main function
func main() {
  
    cnumber_1 := complex(0, 2)
    cnumber_2 := complex(1, 6)
  
    // Finding conjugate of the
    // given complex numbers
    cvalue_1 := cmplx.Conj(cnumber_1)
    cvalue_2 := cmplx.Conj(cnumber_2)
  
    // Sum of the given values
    res := cvalue_1 + cvalue_2
  
    // Displaying results
    fmt.Println("Complex Number 1: ", cnumber_1)
    fmt.Printf("Conjugate 1: %.1f", cvalue_1)
  
    fmt.Println("\nComplex Number 2: ", cnumber_2)
    fmt.Printf("Conjugate 2: %.1f ", cvalue_2)
    fmt.Printf("\nSum : %.1f", res)
  
}

Output:

Complex Number 1:  (0+2i)
Conjugate 1: (0.0-2.0i)
Complex Number 2:  (1+6i)
Conjugate 2: (1.0-6.0i) 
Sum : (1.0-8.0i)

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