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Fix typos found using codespell
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@@ -41,7 +41,7 @@ public:
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/** Sets the relative threshold value used to prune zero coefficients during the decomposition.
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*
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* Setting a value greater than zero speeds up computation, and yields to an imcomplete
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* Setting a value greater than zero speeds up computation, and yields to an incomplete
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* factorization with fewer non zero coefficients. Such approximate factors are especially
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* useful to initialize an iterative solver.
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*
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@@ -206,26 +206,26 @@ public:
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if (col > row) //upper matrix
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{
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const Index minOuterIndex = inner - m_data.upperProfile(inner);
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eigen_assert(outer >= minOuterIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(outer >= minOuterIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
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}
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if (col < row) //lower matrix
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{
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const Index minInnerIndex = outer - m_data.lowerProfile(outer);
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eigen_assert(inner >= minInnerIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(inner >= minInnerIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
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}
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} else {
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if (outer > inner) //upper matrix
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{
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const Index maxOuterIndex = inner + m_data.upperProfile(inner);
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eigen_assert(outer <= maxOuterIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(outer <= maxOuterIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
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}
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if (outer < inner) //lower matrix
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{
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const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
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eigen_assert(inner <= maxInnerIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(inner <= maxInnerIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
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}
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}
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@@ -300,11 +300,11 @@ public:
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if (IsRowMajor) {
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const Index minInnerIndex = outer - m_data.lowerProfile(outer);
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eigen_assert(inner >= minInnerIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(inner >= minInnerIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
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} else {
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const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
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eigen_assert(inner <= maxInnerIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(inner <= maxInnerIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
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}
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}
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@@ -336,11 +336,11 @@ public:
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if (IsRowMajor) {
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const Index minOuterIndex = inner - m_data.upperProfile(inner);
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eigen_assert(outer >= minOuterIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(outer >= minOuterIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
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} else {
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const Index maxOuterIndex = inner + m_data.upperProfile(inner);
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eigen_assert(outer <= maxOuterIndex && "you try to acces a coeff that do not exist in the storage");
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eigen_assert(outer <= maxOuterIndex && "You tried to access a coeff that does not exist in the storage");
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return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
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}
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}
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