To implement basic linear algebra operations in Go, you can define custom types and methods for vectors and matrices. Here's an example implementation of vector addition and dot product operations:
package main
import (
"fmt"
)
// Vector represents a vector in n-dimensional space
type Vector []float64
// Add adds two vectors element-wise
func (v Vector) Add(w Vector) Vector {
if len(v) != len(w) {
panic("Vector dimensions mismatch!")
}
result := make(Vector, len(v))
for i := range v {
result[i] = v[i] + w[i]
}
return result
}
// Dot calculates the dot product of two vectors
func (v Vector) Dot(w Vector) float64 {
if len(v) != len(w) {
panic("Vector dimensions mismatch!")
}
result := 0.0
for i := range v {
result += v[i] * w[i]
}
return result
}
func main() {
v := Vector{1, 2, 3}
w := Vector{4, 5, 6}
fmt.Println("Vector Addition:", v.Add(w))
fmt.Println("Dot Product:", v.Dot(w))
}
This code defines a Vector
type as a simple slice of float64
values. The Add
method adds two vectors element-wise, and the Dot
method calculates the dot product of two vectors.
In the main
function, an example usage is demonstrated by creating two vectors v
and w
, and then calling the Add
and Dot
methods on them.
When working with higher-dimensional vectors or matrices, you may need additional operations like scalar multiplication, matrix addition, matrix multiplication, etc. You can define similar methods for those operations following a similar approach.