Fix all the doxygen warnings.

This commit is contained in:
Antonio Sánchez
2025-02-01 00:00:31 +00:00
parent 9589cc4e7f
commit b1e74b1ccd
85 changed files with 829 additions and 2782 deletions

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@@ -39,9 +39,9 @@ namespace Eigen {
*
* \b Shifting \b strategy: Let \f$ B = S P A P' S \f$ be the scaled matrix on which the factorization is carried out,
* and \f$ \beta \f$ be the minimum value of the diagonal. If \f$ \beta > 0 \f$ then, the factorization is directly
* performed on the matrix B, and \sigma = 0. Otherwise, the factorization is performed on the shifted matrix \f$ B +
* \sigma I \f$ for a shifting factor \f$ \sigma \f$. We start with \f$ \sigma = \sigma_0 - \beta \f$, where \f$
* \sigma_0 \f$ is the initial shift value as returned and set by setInitialShift() method. The default value is \f$
* performed on the matrix B, and \f$ \sigma = 0 \f$. Otherwise, the factorization is performed on the shifted matrix
* \f$ B + \sigma I \f$ for a shifting factor \f$ \sigma \f$. We start with \f$ \sigma = \sigma_0 - \beta \f$, where
* \f$ \sigma_0 \f$ is the initial shift value as returned and set by setInitialShift() method. The default value is \f$
* \sigma_0 = 10^{-3} \f$. If the factorization fails, then the shift in doubled until it succeed or a maximum of ten
* attempts. If it still fails, as returned by the info() method, then you can either increase the initial shift, or
* better use another preconditioning technique.