1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// TODO : move this to GivensQR once there's such a thing in Eigen
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate <typename Scalar>
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid r1mpyq(DenseIndex m, DenseIndex n, Scalar *a, const std::vector<JacobiRotation<Scalar> > &v_givens, const std::vector<JacobiRotation<Scalar> > &w_givens)
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef DenseIndex Index;
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    /*     apply the first set of givens rotations to a. */
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (Index j = n-2; j>=0; --j)
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for (Index i = 0; i<m; ++i) {
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            Scalar temp = v_givens[j].c() * a[i+m*j] - v_givens[j].s() * a[i+m*(n-1)];
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            a[i+m*(n-1)] = v_givens[j].s() * a[i+m*j] + v_givens[j].c() * a[i+m*(n-1)];
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            a[i+m*j] = temp;
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    /*     apply the second set of givens rotations to a. */
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (Index j = 0; j<n-1; ++j)
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for (Index i = 0; i<m; ++i) {
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            Scalar temp = w_givens[j].c() * a[i+m*j] + w_givens[j].s() * a[i+m*(n-1)];
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            a[i+m*(n-1)] = -w_givens[j].s() * a[i+m*j] + w_givens[j].c() * a[i+m*(n-1)];
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            a[i+m*j] = temp;
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace internal
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
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