potok/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-07-29 15:23:05 +04:00
Code Packages Releases Wiki Activity

Add QR decomposition to HAL

Browse Source
This commit is contained in:
Vladislav Sovrasov
2016-08-23 16:35:03 +03:00
parent d102ea96c0
commit dfe4519c07
10 changed files with 348 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/core/test/test_math.cpp
+46 -1
View File
@@ -2994,6 +2994,51 @@ TEST(Core_Cholesky, accuracy64f)
for (int i = 0; i < A.rows; i++)
for (int j = i + 1; j < A.cols; j++)
A.at<double>(i, j) = 0.0;
EXPECT_TRUE(norm(refA - A*A.t()) < 10e-5);
EXPECT_LE(norm(refA, A*A.t(), CV_RELATIVE_L2), FLT_EPSILON);
}
TEST(Core_QR_Solver, accuracy64f)
{
int m = 20, n = 18;
Mat A(m, m, CV_64F);
Mat B(m, n, CV_64F);
Mat mean(1, 1, CV_64F);
*mean.ptr<double>() = 10.0;
Mat dev(1, 1, CV_64F);
*dev.ptr<double>() = 10.0;
RNG rng(10);
rng.fill(A, RNG::NORMAL, mean, dev);
rng.fill(B, RNG::NORMAL, mean, dev);
A = A*A.t();
Mat solutionQR;
//solve system with square matrix
solve(A, B, solutionQR, DECOMP_QR);
EXPECT_LE(norm(A*solutionQR, B, CV_RELATIVE_L2), FLT_EPSILON);
A = Mat(m, n, CV_64F);
B = Mat(m, n, CV_64F);
rng.fill(A, RNG::NORMAL, mean, dev);
rng.fill(B, RNG::NORMAL, mean, dev);
//solve normal system
solve(A, B, solutionQR, DECOMP_QR | DECOMP_NORMAL);
EXPECT_LE(norm(A.t()*(A*solutionQR), A.t()*B, CV_RELATIVE_L2), FLT_EPSILON);
//solve overdeterminated system as a least squares problem
Mat solutionSVD;
solve(A, B, solutionQR, DECOMP_QR);
solve(A, B, solutionSVD, DECOMP_SVD);
EXPECT_LE(norm(solutionQR, solutionSVD, CV_RELATIVE_L2), FLT_EPSILON);
//solve system with singular matrix
A = Mat(10, 10, CV_64F);
B = Mat(10, 1, CV_64F);
rng.fill(A, RNG::NORMAL, mean, dev);
rng.fill(B, RNG::NORMAL, mean, dev);
for (int i = 0; i < A.cols; i++)
A.at<double>(0, i) = A.at<double>(1, i);
ASSERT_FALSE(solve(A, B, solutionQR, DECOMP_QR));
}
/* End of file. */