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Working on adding efficient eigenvector and value calculations #2

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Cynopolis merged 11 commits from eigenvector-and-values into main 2025-06-06 22:32:19 +00:00
Conversation 4 Commits 11 Files Changed 9 +8 -4
1 changed files with 8 additions and 4 deletions
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unit-tests/matrix-tests.cpp
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@@ -469,6 +469,7 @@ TEST_CASE("QR Decompositions", "Matrix") {
SECTION("3x3 QRDecomposition") {
// this symmetrix tridiagonal matrix is well behaved for testing
Matrix<3, 3> A{1, 2, 3, 4, 5, 6, 7, 8, 9};
uint32_t matrixRank = 2;
Matrix<3, 3> Q{}, R{};
A.QRDecomposition(Q, R);
@@ -490,11 +491,13 @@ TEST_CASE("QR Decompositions", "Matrix") {
}
// Check that Qᵀ * Q ≈ I
// In this case the A matrix is only rank 2, so the identity matrix given by
// Qᵀ * Q is actually only going to be 2x2.
Matrix<3, 3> Qt = Q.Transpose();
Matrix<3, 3> QtQ{};
QtQ = Qt * Q;
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
for (int i = 0; i < matrixRank; ++i) {
for (int j = 0; j < matrixRank; ++j) {
if (i == j)
REQUIRE_THAT(QtQ[i][j], Catch::Matchers::WithinRel(1.0f, 1e-4f));
else
@@ -503,7 +506,8 @@ TEST_CASE("QR Decompositions", "Matrix") {
}
// Optional: Check R is upper triangular
for (int i = 1; i < 3; ++i) {
// The matrix's rank is only 2 so the last row will not be triangular
for (int i = 1; i < matrixRank; ++i) {
for (int j = 0; j < i; ++j) {
REQUIRE(std::fabs(R[i][j]) < 1e-4f);
}
@@ -529,7 +533,7 @@ TEST_CASE("QR Decompositions", "Matrix") {
REQUIRE_THAT(R[1][2], Catch::Matchers::WithinRel(1.80907f, 1e-4f));
REQUIRE_THAT(R[2][0], Catch::Matchers::WithinRel(0.0f, 1e-4f));
REQUIRE_THAT(R[2][1], Catch::Matchers::WithinRel(0.0f, 1e-4f));
REQUIRE_THAT(R[2][2], Catch::Matchers::WithinRel(1.0f, 1e-4f));
REQUIRE_THAT(R[2][2], Catch::Matchers::WithinRel(0.0f, 1e-4f));
}
SECTION("4x2 QRDecomposition") {