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Fix typos in docs for IterativeLinearSolvers module

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Jitse Niesen 2014-09-21 14:20:08 +01:00
parent 5fa69422a2
commit 333905b0c2
2 changed files with 7 additions and 7 deletions
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2
Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
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@ -143,7 +143,7 @@ struct traits<BiCGSTAB<_MatrixType,_Preconditioner> >
* step execution example starting with a random guess and printing the evolution
* of the estimated error:
* \include BiCGSTAB_step_by_step.cpp
* Note that such a step by step excution is slightly slower.
* Note that such a step by step execution is slightly slower.
*
* \sa class SimplicialCholesky, DiagonalPreconditioner, IdentityPreconditioner
*/

12
Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h
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@ -60,10 +60,10 @@ public:
~IterativeSolverBase() {}
/** Initializes the iterative solver for the sparcity pattern of the matrix \a A for further solving \c Ax=b problems.
/** Initializes the iterative solver for the sparsity pattern of the matrix \a A for further solving \c Ax=b problems.
*
* Currently, this function mostly call analyzePattern on the preconditioner. In the future
* we might, for instance, implement column reodering for faster matrix vector products.
* Currently, this function mostly calls analyzePattern on the preconditioner. In the future
* we might, for instance, implement column reordering for faster matrix vector products.
*/
Derived& analyzePattern(const MatrixType& A)
{
@ -76,7 +76,7 @@ public:
/** Initializes the iterative solver with the numerical values of the matrix \a A for further solving \c Ax=b problems.
*
* Currently, this function mostly call factorize on the preconditioner.
* Currently, this function mostly calls factorize on the preconditioner.
*
* \warning this class stores a reference to the matrix A as well as some
* precomputed values that depend on it. Therefore, if \a A is changed
@ -95,8 +95,8 @@ public:
/** Initializes the iterative solver with the matrix \a A for further solving \c Ax=b problems.
*
* Currently, this function mostly initialized/compute the preconditioner. In the future
* we might, for instance, implement column reodering for faster matrix vector products.
* Currently, this function mostly initializes/computes the preconditioner. In the future
* we might, for instance, implement column reordering for faster matrix vector products.
*
* \warning this class stores a reference to the matrix A as well as some
* precomputed values that depend on it. Therefore, if \a A is changed