NAG Library Manual, Mark 28.7
```/* F08KB_P0W_F C++ Header Example Program.
*
* Copyright 2022 Numerical Algorithms Group.
* Mark 28.7, 2022.
*/

#include <iostream>
#include <nag.h>
#include <nagx04.h>
#include <stdio.h>
#include <string>
using namespace std;

int main()
{
int               exit_status = 0;
Integer           ifail = 0;
NagError          fail;
INIT_FAIL(fail);

cout << "F08KB_P0W_F C++ Header Example Program Results\n\n";
// Skip heading in data file
string mystr;
getline(cin, mystr);

Integer m, n;
cin >> m;
cin >> n;

// Allocate arrays containing A and its factorized form, B
// and the solution X.
Integer lda = m, ldu = m, ldvt = n, lwork;
double *a = 0, *s = 0, *u = 0, *vt = 0, *work = 0;
Charlen lena = 1;
a            = new double[m * n];
s            = new double[m];
u            = new double[m * m];
vt           = new double[n * n];

// Read the matrix A, register and copy
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
Integer k = i + j * m;
cin >> a[k];
}
}

// Use routine workspace query to get optimal workspace.
double dummy[1];
ifail = 0;
lwork = -1;
nag::ad::f08kb(ad_handle, "A", "A", m, n, a, lda, s, u, ldu, vt, ldvt, dummy,
lwork, ifail);

lwork = (Integer)dummy[0] + 1;
work  = new double[lwork];

//  Compute the singular values and left and right singular vectors
//  of A (A = U*S*(V**T), m < n)
nag::ad::f08kb(ad_handle, "A", "A", m, n, a, lda, s, u, ldu, vt, ldvt, work,
lwork, ifail);

// Print primal solution
cout.precision(4);
cout.width(12);
cout << " ";
cout << " Singular values:\n";
for (int i = 0; i < m; i++)
{
cout.width(11);
cout << s[i];
}

cout << "\n\n";
x04cac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, m, m, u, ldu,
"Left singular vectors by column", 0, &fail);
cout << "\n";
x04cac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, m, n, vt, ldvt,
"Right singular vectors by row", 0, &fail);

delete[] a;
delete[] s;
delete[] u;
delete[] vt;
delete[] work;

return exit_status;
}
```