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authorGravatar Gael Guennebaud <g.gael@free.fr>2018-06-07 14:43:02 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2018-06-07 14:43:02 +0200
commitb3fd93207bea08fc459be46f84fd6bbe18b19523 (patch)
treea4607c9e0c086ada062606cd04c54ed6255b412a /unsupported/Eigen/src/Skyline
parent405859f18dac56f324e1d93ca8721d5f7fd22c62 (diff)
Fix typos found using codespell
Diffstat (limited to 'unsupported/Eigen/src/Skyline')
-rw-r--r--unsupported/Eigen/src/Skyline/SkylineInplaceLU.h2
-rw-r--r--unsupported/Eigen/src/Skyline/SkylineMatrix.h16
2 files changed, 9 insertions, 9 deletions
diff --git a/unsupported/Eigen/src/Skyline/SkylineInplaceLU.h b/unsupported/Eigen/src/Skyline/SkylineInplaceLU.h
index a1f54ed35..bda057a85 100644
--- a/unsupported/Eigen/src/Skyline/SkylineInplaceLU.h
+++ b/unsupported/Eigen/src/Skyline/SkylineInplaceLU.h
@@ -41,7 +41,7 @@ public:
/** Sets the relative threshold value used to prune zero coefficients during the decomposition.
*
- * Setting a value greater than zero speeds up computation, and yields to an imcomplete
+ * Setting a value greater than zero speeds up computation, and yields to an incomplete
* factorization with fewer non zero coefficients. Such approximate factors are especially
* useful to initialize an iterative solver.
*
diff --git a/unsupported/Eigen/src/Skyline/SkylineMatrix.h b/unsupported/Eigen/src/Skyline/SkylineMatrix.h
index a2a8933ca..f77d79a04 100644
--- a/unsupported/Eigen/src/Skyline/SkylineMatrix.h
+++ b/unsupported/Eigen/src/Skyline/SkylineMatrix.h
@@ -206,26 +206,26 @@ public:
if (col > row) //upper matrix
{
const Index minOuterIndex = inner - m_data.upperProfile(inner);
- eigen_assert(outer >= minOuterIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(outer >= minOuterIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
}
if (col < row) //lower matrix
{
const Index minInnerIndex = outer - m_data.lowerProfile(outer);
- eigen_assert(inner >= minInnerIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(inner >= minInnerIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
}
} else {
if (outer > inner) //upper matrix
{
const Index maxOuterIndex = inner + m_data.upperProfile(inner);
- eigen_assert(outer <= maxOuterIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(outer <= maxOuterIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
}
if (outer < inner) //lower matrix
{
const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
- eigen_assert(inner <= maxInnerIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(inner <= maxInnerIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
}
}
@@ -300,11 +300,11 @@ public:
if (IsRowMajor) {
const Index minInnerIndex = outer - m_data.lowerProfile(outer);
- eigen_assert(inner >= minInnerIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(inner >= minInnerIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
} else {
const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
- eigen_assert(inner <= maxInnerIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(inner <= maxInnerIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
}
}
@@ -336,11 +336,11 @@ public:
if (IsRowMajor) {
const Index minOuterIndex = inner - m_data.upperProfile(inner);
- eigen_assert(outer >= minOuterIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(outer >= minOuterIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
} else {
const Index maxOuterIndex = inner + m_data.upperProfile(inner);
- eigen_assert(outer <= maxOuterIndex && "you try to acces a coeff that do not exist in the storage");
+ eigen_assert(outer <= maxOuterIndex && "You tried to access a coeff that does not exist in the storage");
return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
}
}