* far smaller than it actually is.
* @param[in] norm The norm $X$ shown above that should be computed.
* @param[in] weight The additional argument @p weight allows to evaluate weighted
- * norms. The weight function may be scalar, establishing a weight
- * in the domain for all components equally. This may be used, for
- * instance, to only integrates over parts of the domain.
- *
- * The weight function may also be vector-valued, with as many
- * components as the finite element function: Then, different
- * components get different weights. A typical application is when
- * the error with respect to only one or a subset of the solution
- * variables is to be computed, in which the other components would
- * have weight values equal to zero. The ComponentSelectFunction
- * class is particularly useful for this purpose.
- *
- * The weight function is expected to be positive, but negative
- * values are not filtered. By default, no weighting function is
- * given, i.e. weight=1 in the whole domain for all vector
- * components uniformly. Note that one often wants to compute the
- * error in only one component of a solution vector (e.g. for the
- * pressure in the Stokes system, when the solution vector also
- * contains the velocity components). In these cases, the weight
- * should be a <i>mask</i>, i.e., be a vector function for which
- * individual components are either zero or one. This can easily be
- * achieved using the ComponentSelectFunction class.
- *
+ * norms. The weight function may be scalar, establishing a weight
+ * in the domain for all components equally. This may be used, for
+ * instance, to only integrate over parts of the domain. The weight function
+ * may also be vector-valued, with as many components as the finite element:
+ * Then, different components get different weights. A typical application is when
+ * the error with respect to only one or a subset of the solution
+ * variables is to be computed, in which the other components would
+ * have weight values equal to zero. The ComponentSelectFunction
+ * class is particularly useful for this purpose as it provides
+ * such as "mask" weight..
+ * The weight function is expected to be positive, but negative
+ * values are not filtered. By default, no weighting function is
+ * given, i.e. weight=1 in the whole domain for all vector
+ * components uniformly.
* @param[in] exponent This value denotes the $p$ used in computing
* $L^p$-norms and $W^{1,p}$-norms. The value is ignores if a @p norm
* other than NormType::Lp_norm or NormType::W1p_norm is chosen.