diff options
author | Gael Guennebaud <g.gael@free.fr> | 2009-05-04 14:25:12 +0000 |
---|---|---|
committer | Gael Guennebaud <g.gael@free.fr> | 2009-05-04 14:25:12 +0000 |
commit | 28293142842c525eec1adde377999b065dea8cbf (patch) | |
tree | 22a6b32d00f507afaaa6a20c712ecd70c8b6ffb7 /test/sparse.h | |
parent | ddb6e96d48e353099911cf4179ea6285dce40d4c (diff) |
new simplified API to fill sparse matrices (the old functions are
deprecated). Basically there are now only 2 functions to set a
coefficient:
1) mat.coeffRef(row,col) = value;
2) mat.insert(row,col) = value;
coeffRef has no limitation, insert assumes the coeff has not already
been set, and raises an assert otherwise.
In addition I added a much lower level, but more efficient filling
mechanism for
internal use only.
Diffstat (limited to 'test/sparse.h')
-rw-r--r-- | test/sparse.h | 18 |
1 files changed, 11 insertions, 7 deletions
diff --git a/test/sparse.h b/test/sparse.h index 80d99dc5b..eb2f98f5f 100644 --- a/test/sparse.h +++ b/test/sparse.h @@ -64,9 +64,11 @@ initSparse(double density, std::vector<Vector2i>* zeroCoords = 0, std::vector<Vector2i>* nonzeroCoords = 0) { - sparseMat.startFill(int(refMat.rows()*refMat.cols()*density)); + sparseMat.setZero(); + sparseMat.reserve(int(refMat.rows()*refMat.cols()*density)); for(int j=0; j<refMat.cols(); j++) { + sparseMat.startVec(j); for(int i=0; i<refMat.rows(); i++) { Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0); @@ -85,7 +87,7 @@ initSparse(double density, if (v!=Scalar(0)) { - sparseMat.fill(i,j) = v; + sparseMat.insertBack(j,i) = v; if (nonzeroCoords) nonzeroCoords->push_back(Vector2i(i,j)); } @@ -96,7 +98,7 @@ initSparse(double density, refMat(i,j) = v; } } - sparseMat.endFill(); + sparseMat.finalize(); } template<typename Scalar> void @@ -107,9 +109,11 @@ initSparse(double density, std::vector<Vector2i>* zeroCoords = 0, std::vector<Vector2i>* nonzeroCoords = 0) { - sparseMat.startFill(int(refMat.rows()*refMat.cols()*density)); + sparseMat.setZero(); + sparseMat.reserve(int(refMat.rows()*refMat.cols()*density)); for(int j=0; j<refMat.cols(); j++) { + sparseMat.startVec(j); // not needed for DynamicSparseMatrix for(int i=0; i<refMat.rows(); i++) { Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0); @@ -128,7 +132,7 @@ initSparse(double density, if (v!=Scalar(0)) { - sparseMat.fill(i,j) = v; + sparseMat.insertBack(j,i) = v; if (nonzeroCoords) nonzeroCoords->push_back(Vector2i(i,j)); } @@ -139,7 +143,7 @@ initSparse(double density, refMat(i,j) = v; } } - sparseMat.endFill(); + sparseMat.finalize(); } template<typename Scalar> void @@ -156,7 +160,7 @@ initSparse(double density, Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0); if (v!=Scalar(0)) { - sparseVec.fill(i) = v; + sparseVec.insertBack(i) = v; if (nonzeroCoords) nonzeroCoords->push_back(i); } |