```/* nag_rand_matrix_multi_normal (g05rzc) Example Program.
*
* Copyright 2014 Numerical Algorithms Group.
*
* Mark 9, 2009.
*/
/* Pre-processor includes */
#include <stdio.h>
#include <math.h>
#include <nag.h>
#include <nag_stdlib.h>
#include <nagg05.h>

#define X(I, J) x[(order == Nag_ColMajor)?(J*pdx + I):(I*pdx + J)]
#define C(I, J) c[(order == Nag_ColMajor)?(J*pdc + I):(I*pdc + J)]

int main(void)
{
/* Integer scalar and array declarations */
Integer       exit_status = 0;
Integer       i, j, lstate, lr, x_size;
Integer       *state = 0;
Integer       pdx;

/* NAG structures */
NagError      fail;
Nag_ModeRNG   mode;

/* Double scalar and array declarations */
double        *r = 0, *x = 0;

/* Use column major order */
Nag_OrderType order = Nag_RowMajor;

/* Set the number of variables and variates */
Integer       m = 4;
Integer       n = 10;

/* Input the covariance matrix */
double        c[] = { 1.69e0, 0.39e0, -1.86e0, 0.07e0,
0.39e0, 98.01e0, -7.07e0, -0.71e0,
-1.86e0, -7.07e0, 11.56e0, 0.03e0,
0.07e0, -0.71e0, 0.03e0, 0.01e0 };
Integer       pdc = 4;

/* Input the means */
double        xmu[] = { 1.0e0, 2.0e0, -3.0e0, 0.0e0 };

/* Choose the base generator */
Nag_BaseRNG   genid = Nag_Basic;
Integer       subid = 0;

/* Set the seed */
Integer       seed[] = { 1762543 };
Integer       lseed = 1;

/* Initialise the error structure */
INIT_FAIL(fail);

printf("nag_rand_matrix_multi_normal (g05rzc)"
" Example Program Results\n\n");

/* Get the length of the state array */
lstate = -1;
nag_rand_init_repeatable(genid, subid, seed, lseed, state, &lstate, &fail);
if (fail.code != NE_NOERROR)
{
printf("Error from nag_rand_init_repeatable (g05kfc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}

pdx = (order == Nag_ColMajor)?n:m;
x_size = (order == Nag_ColMajor)?pdx * m:pdx * n;

/* Calculate the size of the reference vector */
lr = m*m+m+1;

/* Allocate arrays */
if (!(r = NAG_ALLOC(lr, double)) ||
!(x = NAG_ALLOC(x_size, double)) ||
!(state = NAG_ALLOC(lstate, Integer)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}

/* Initialise the generator to a repeatable sequence */
nag_rand_init_repeatable(genid, subid, seed, lseed, state, &lstate, &fail);
if (fail.code != NE_NOERROR)
{
printf("Error from nag_rand_init_repeatable (g05kfc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}

/* Set up reference vector and generate n numbers */
mode = Nag_InitializeAndGenerate;
nag_rand_matrix_multi_normal(order, mode, n, m, xmu,
c, pdc, r, lr, state, x, pdx, &fail);
if (fail.code != NE_NOERROR)
{
printf("Error from nag_rand_matrix_multi_normal (g05rzc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}

/* Display the variates */
for (i = 0; i < n; i++)
{
printf("  ");
for (j = 0; j < m; j++)
printf("%9.4f%s", X(i, j), (j+1)%10?" ":"\n");
if (m%10) printf("\n");
}

END:
NAG_FREE(r);
NAG_FREE(x);
NAG_FREE(state);

return exit_status;
}
```