Task: QR decomposition
Go: package main

import (
    "fmt"
    "math"

    "github.com/skelterjohn/go.matrix"
)

func sign(s float64) float64 {
    if s > 0 {
        return 1
    } else if s < 0 {
        return -1
    }
    return 0
}

func unitVector(n int) *matrix.DenseMatrix {
    vec := matrix.Zeros(n, 1)
    vec.Set(0, 0, 1)
    return vec
}

func householder(a *matrix.DenseMatrix) *matrix.DenseMatrix {
    m := a.Rows()
    s := sign(a.Get(0, 0))
    e := unitVector(m)
    u := matrix.Sum(a, matrix.Scaled(e, a.TwoNorm()*s))
    v := matrix.Scaled(u, 1/u.Get(0, 0))
    
    prod, _ := v.Transpose().TimesDense(v)
    β := 2 / prod.Get(0, 0)

    prod, _ = v.TimesDense(v.Transpose())
    return matrix.Difference(matrix.Eye(m), matrix.Scaled(prod, β))
}

func qr(a *matrix.DenseMatrix) (q, r *matrix.DenseMatrix) {
    m := a.Rows()
    n := a.Cols()
    q = matrix.Eye(m)

    last := n - 1
    if m == n {
        last--
    }
    for i := 0; i <= last; i++ {
        
        b := a.GetMatrix(i, i, m-i, n-i).Copy()
        x := b.GetColVector(0)
        h := matrix.Eye(m)
        h.SetMatrix(i, i, householder(x))
        q, _ = q.TimesDense(h)
        a, _ = h.TimesDense(a)
    }
    return q, a
}

func main() {
    
    a := matrix.MakeDenseMatrixStacked([][]float64{
        {12, -51, 4},
        {6, 167, -68},
        {-4, 24, -41}})
    q, r := qr(a)
    fmt.Println("q:\n", q)
    fmt.Println("r:\n", r)

    
    x := matrix.MakeDenseMatrixStacked([][]float64{
        {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}})
    y := matrix.MakeDenseMatrixStacked([][]float64{
        {1, 6, 17, 34, 57, 86, 121, 162, 209, 262, 321}})
    fmt.Println("\npolyfit:\n", polyfit(x, y, 2))
}

func polyfit(x, y *matrix.DenseMatrix, n int) *matrix.DenseMatrix {
    m := x.Cols()
    a := matrix.Zeros(m, n+1)
    for i := 0; i < m; i++ {
        for j := 0; j <= n; j++ {
            a.Set(i, j, math.Pow(x.Get(0, i), float64(j)))
        }
    }
    return lsqr(a, y.Transpose())
}

func lsqr(a, b *matrix.DenseMatrix) *matrix.DenseMatrix {
    q, r := qr(a)
    n := r.Cols()
    prod, _ := q.Transpose().TimesDense(b)
    return solveUT(r.GetMatrix(0, 0, n, n), prod.GetMatrix(0, 0, n, 1))
}

func solveUT(r, b *matrix.DenseMatrix) *matrix.DenseMatrix {
    n := r.Cols()
    x := matrix.Zeros(n, 1)
    for k := n - 1; k >= 0; k-- {
        sum := 0.
        for j := k + 1; j < n; j++ {
            sum += r.Get(k, j) * x.Get(j, 0)
        }
        x.Set(k, 0, (b.Get(k, 0)-sum)/r.Get(k, k))
    }
    return x
}

VB: Option Base 1
Private Function vtranspose(v As Variant) As Variant


    vtranspose = WorksheetFunction.Transpose(v)
End Function
 
Private Function mat_col(a As Variant, col As Integer) As Variant
    Dim res() As Double
    ReDim res(UBound(a))
    For i = col To UBound(a)
        res(i) = a(i, col)
    Next i
    mat_col = res
End Function
 
Private Function mat_norm(a As Variant) As Double
    mat_norm = Sqr(WorksheetFunction.SumProduct(a, a))
End Function
 
Private Function mat_ident(n As Integer) As Variant
    mat_ident = WorksheetFunction.Munit(n)
End Function

Private Function sq_div(a As Variant, p As Double) As Variant
    Dim res() As Variant
    ReDim res(UBound(a))
    For i = 1 To UBound(a)
        res(i) = a(i) / p
    Next i
    sq_div = res
End Function

Private Function sq_mul(p As Double, a As Variant) As Variant
    Dim res() As Variant
    ReDim res(UBound(a), UBound(a, 2))
    For i = 1 To UBound(a)
        For j = 1 To UBound(a, 2)
            res(i, j) = p * a(i, j)
        Next j
    Next i
    sq_mul = res
End Function

Private Function sq_sub(x As Variant, y As Variant) As Variant
    Dim res() As Variant
    ReDim res(UBound(x), UBound(x, 2))
    For i = 1 To UBound(x)
        For j = 1 To UBound(x, 2)
            res(i, j) = x(i, j) - y(i, j)
        Next j
    Next i
    sq_sub = res
End Function

Private Function matrix_mul(x As Variant, y As Variant) As Variant
    matrix_mul = WorksheetFunction.MMult(x, y)
End Function

Private Function QRHouseholder(ByVal a As Variant) As Variant
    Dim columns As Integer: columns = UBound(a, 2)
    Dim rows As Integer: rows = UBound(a)
    Dim m As Integer: m = WorksheetFunction.Max(columns, rows)
    Dim n As Integer: n = WorksheetFunction.Min(rows, columns)
    I_ = mat_ident(m)
    Q_ = I_
    Dim q As Variant
    Dim u As Variant, v As Variant, j As Integer
    For j = 1 To WorksheetFunction.Min(m - 1, n)
        u = mat_col(a, j)
        u(j) = u(j) - mat_norm(u)
        v = sq_div(u, mat_norm(u))
        q = sq_sub(I_, sq_mul(2, matrix_mul(vtranspose(v), v)))
        a = matrix_mul(q, a)
        Q_ = matrix_mul(Q_, q)
    Next j
 
    
    Dim R() As Variant
    ReDim R(m, n)
    For i = 1 To m 
        For j = 1 To n 
            R(i, j) = a(i, j)
        Next j
    Next i
    Dim res(2) As Variant
    res(1) = Q_
    res(2) = R
    QRHouseholder = res
End Function

Private Sub pp(m As Variant)
    For i = 1 To UBound(m)
        For j = 1 To UBound(m, 2)
            Debug.Print Format(m(i, j), "0.#####"),
        Next j
        Debug.Print
    Next i
End Sub
Public Sub main()
    a = [{12, -51,   4; 6, 167, -68; -4,  24, -41;-1,1,0;2,0,3}]
    result = QRHouseholder(a)
    q = result(1)
    r_ = result(2)
    Debug.Print "A"
    pp a
    Debug.Print "Q"
    pp q
    Debug.Print "R"
    pp r_
    Debug.Print "Q * R"
    pp matrix_mul(q, r_)
End Sub