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Fix implicit conversion from 0.0 to scalar
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@ -31,7 +31,7 @@ void ordering_helper_at_plus_a(const MatrixType& A, MatrixType& symmat)
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for (int i = 0; i < C.rows(); i++)
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for (int i = 0; i < C.rows(); i++)
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{
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{
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for (typename MatrixType::InnerIterator it(C, i); it; ++it)
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for (typename MatrixType::InnerIterator it(C, i); it; ++it)
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it.valueRef() = 0.0;
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it.valueRef() = typename MatrixType::Scalar(0);
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}
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}
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symmat = C + A;
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symmat = C + A;
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}
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}
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@ -122,7 +122,7 @@ void SimplicialCholeskyBase<Derived>::factorize_preordered(const CholMatrixType&
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for(StorageIndex k = 0; k < size; ++k)
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for(StorageIndex k = 0; k < size; ++k)
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{
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{
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// compute nonzero pattern of kth row of L, in topological order
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// compute nonzero pattern of kth row of L, in topological order
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y[k] = 0.0; // Y(0:k) is now all zero
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y[k] = Scalar(0); // Y(0:k) is now all zero
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StorageIndex top = size; // stack for pattern is empty
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StorageIndex top = size; // stack for pattern is empty
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tags[k] = k; // mark node k as visited
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tags[k] = k; // mark node k as visited
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m_nonZerosPerCol[k] = 0; // count of nonzeros in column k of L
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m_nonZerosPerCol[k] = 0; // count of nonzeros in column k of L
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@ -146,12 +146,12 @@ void SimplicialCholeskyBase<Derived>::factorize_preordered(const CholMatrixType&
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/* compute numerical values kth row of L (a sparse triangular solve) */
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/* compute numerical values kth row of L (a sparse triangular solve) */
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RealScalar d = numext::real(y[k]) * m_shiftScale + m_shiftOffset; // get D(k,k), apply the shift function, and clear Y(k)
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RealScalar d = numext::real(y[k]) * m_shiftScale + m_shiftOffset; // get D(k,k), apply the shift function, and clear Y(k)
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y[k] = 0.0;
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y[k] = Scalar(0);
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for(; top < size; ++top)
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for(; top < size; ++top)
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{
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{
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Index i = pattern[top]; /* pattern[top:n-1] is pattern of L(:,k) */
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Index i = pattern[top]; /* pattern[top:n-1] is pattern of L(:,k) */
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Scalar yi = y[i]; /* get and clear Y(i) */
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Scalar yi = y[i]; /* get and clear Y(i) */
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y[i] = 0.0;
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y[i] = Scalar(0);
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/* the nonzero entry L(k,i) */
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/* the nonzero entry L(k,i) */
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Scalar l_ki;
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Scalar l_ki;
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