* original_tensor given as the input argument, \f[ \mathrm{original\_tensor} =
* \sum_i \lambda_i \, \boldsymbol{n}_i \otimes \boldsymbol{n}_i, \f] where
* $\lambda_i$ is the eigenvalue, and $\boldsymbol{n}_i$ is the corresponding
- * eigenvector. The output is a pair of 2nd-order symmetric tensors
- * @a positive_negative_tensors. The first term in the pair is the positive
+ * eigenvector. The output is a pair of 2nd-order symmetric tensors.
+ * The first term in the pair is the positive
* part of the input tensor, and the second term in the pair is the negative
* part of the input tensor, that is,
* \f[
*
* @param[in] original_tensor The 2nd-order symmetric tensor to be split into
* the positive and negative parts
- * @param[out] positive_negative_tensors A pair of 2nd-order symmetric tensors,
- * the first term of which is the positive part of the input tensor, and
- * the second term of which is the negative part of the input tensor
*
* @relatesalso SymmetricTensor
*/
*
* @param[in] original_tensor The 2nd-order symmetric tensor to be split into
* the positive and negative parts
- * @param[out] positive_negative_tensors_projectors A tuple contains the
- * positive part of the tensor as the first term, the negative part of the
- * tensor as the second term, the derivative of the positive tensor with respect
- * to the original tensor as the third them, and the derivative of the negative
- * tensor with respect to the original tensor as the fourth term
*
* @relatesalso SymmetricTensor
*/