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add the possibility to assemble a SparseMatrix object from a random list of triplets that may contain duplicated elements. It works in linear time, with O(1) re-allocations.

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This commit is contained in:
Gael Guennebaud
2012-01-28 11:13:59 +01:00
parent fc2d85d139
commit 87138075da
3 changed files with 190 additions and 0 deletions
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21
test/sparse_basic.cpp
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@@ -325,6 +325,27 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
VERIFY_IS_APPROX(m2, refM2);
}
// test setFromTriplets
{
typedef Triplet<Scalar,Index> TripletType;
std::vector<TripletType> triplets;
int ntriplets = rows*cols;
triplets.reserve(ntriplets);
DenseMatrix refMat(rows,cols);
refMat.setZero();
for(int i=0;i<ntriplets;++i)
{
int i = internal::random<int>(0,rows-1);
int j = internal::random<int>(0,cols-1);
Scalar v = internal::random<Scalar>();
triplets.push_back(TripletType(i,j,v));
refMat(i,j) += v;
}
SparseMatrixType m(rows,cols);
m.setFromTriplets(triplets.begin(), triplets.end());
VERIFY_IS_APPROX(m, refMat);
}
// test triangularView
{
DenseMatrix refMat2(rows, rows), refMat3(rows, rows);