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flightgear/tests/test_ls_matrix.cxx
Bertrand Coconnier 1a0e5a20ae Fixed LaRCSim matrix computation routines.
There was a couple of typos in the routine. This code will be used by the AI wake feature.
Also added a test for the matrix code to make sure they will be no regression.
2017-06-05 17:18:52 +02:00

161 lines
4.1 KiB
C++

#include <simgear/constants.h>
#include <simgear/misc/test_macros.hxx>
extern "C" {
#include "src/FDM/LaRCsim/ls_matrix.h"
}
void testCopyMatrix()
{
int nelm = 20;
double **src = nr_matrix(1, nelm, 1, nelm);
double **dest = nr_matrix(1, nelm, 1, nelm);
double invmaxlong = 1.0/(double)RAND_MAX;
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
src[i][j] = 2.0 - 4.0*invmaxlong*(double) rand();
nr_copymat(src, nelm, dest);
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
SG_CHECK_EQUAL(src[i][j], dest[i][j]);
nr_free_matrix(src, 1, nelm, 1, nelm);
nr_free_matrix(dest, 1, nelm, 1, nelm);
}
void testIdentityMatrix()
{
int nelm = 10;
double **id = nr_matrix(1, nelm, 1, nelm);
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
id[i][j] = i == j ? 1.0 : 0.0;
nr_gaussj(id, nelm, 0, 0);
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
SG_CHECK_EQUAL_EP(id[i][j], i == j ? 1.0 : 0.0);
nr_free_matrix(id, 1, nelm, 1, nelm);
}
void testOrthogonalMatrix()
{
int nelm = 3;
double **m = nr_matrix(1, nelm, 1, nelm);
double **inv = nr_matrix(1, nelm, 1, nelm);
double angle = M_PI/3.0;
m[1][1] = cos(angle);
m[1][2] = sin(angle);
m[1][3] = 0.0;
m[2][1] = -m[1][2];
m[2][2] = m[1][1];
m[2][3] = 0.0;
m[3][1] = 0.0;
m[3][2] = 0.0;
m[3][3] = 1.0;
nr_copymat(m, nelm, inv);
nr_gaussj(inv, nelm, 0, 0);
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
SG_CHECK_EQUAL_EP(m[i][j], inv[j][i]);
nr_free_matrix(m, 1, nelm, 1, nelm);
nr_free_matrix(inv, 1, nelm, 1, nelm);
}
void testRandomMatrix()
{
int nelm = 20;
double **src = nr_matrix(1, nelm, 1, nelm);
double **inv = nr_matrix(1, nelm, 1, nelm);
double **id = nr_matrix(1, nelm, 1, nelm);
double invmaxlong = 1.0/(double)RAND_MAX;
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
src[i][j] = 2.0 - 4.0*invmaxlong*(double) rand();
nr_copymat(src, nelm, inv);
nr_gaussj(inv, nelm, 0, 0);
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j) {
id[i][j] = 0.0;
for (int k=1; k<=nelm; ++k)
id[i][j] += src[i][k]*inv[k][j];
}
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
SG_CHECK_EQUAL_EP(id[i][j], i == j ? 1.0 : 0.0);
nr_free_matrix(src, 1, nelm, 1, nelm);
nr_free_matrix(inv, 1, nelm, 1, nelm);
nr_free_matrix(id, 1, nelm, 1, nelm);
}
void testSolveLinearSystem()
{
int nelm = 20;
double **src = nr_matrix(1, nelm, 1, nelm);
double **inv = nr_matrix(1, nelm, 1, nelm);
double **rhs = nr_matrix(1, nelm, 1, 1);
double **sol = nr_matrix(1, nelm, 1, 1);
double **check = nr_matrix(1, nelm, 1, nelm);
double invmaxlong = 1.0/(double)RAND_MAX;
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
src[i][j] = 2.0 - 4.0*invmaxlong*(double) rand();
for (int i=1; i<=nelm; ++i) {
rhs[i][1] = 2.0+cos(i*M_PI/nelm);
sol[i][1] = rhs[i][1];
}
nr_copymat(src, nelm, inv);
nr_gaussj(inv, nelm, sol, 1);
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j) {
check[i][j] = 0.0;
for (int k=1; k<=nelm; ++k)
check[i][j] += src[i][k]*inv[k][j];
}
for (int i=1; i<=nelm; ++i)
for (int j=1; j<=nelm; ++j)
SG_CHECK_EQUAL_EP(check[i][j], i == j ? 1.0 : 0.0);
for (int i=1; i<=nelm; ++i) {
check[i][1] = 0.0;
for (int j=1; j<=nelm; ++j)
check[i][1] += src[i][j]*sol[j][1];
}
for (int i=1; i<=nelm; ++i)
SG_CHECK_EQUAL_EP(check[i][1], rhs[i][1]);
nr_free_matrix(src, 1, nelm, 1, nelm);
nr_free_matrix(inv, 1, nelm, 1, nelm);
nr_free_matrix(check, 1, nelm, 1, nelm);
nr_free_matrix(rhs, 1, nelm, 1, 1);
nr_free_matrix(sol, 1, nelm, 1, 1);
}
int main(int argc, char* argv[])
{
testCopyMatrix();
testIdentityMatrix();
testOrthogonalMatrix();
testRandomMatrix();
testSolveLinearSystem();
}