// ---------------------------------------------------------------------
//
-// Copyright (C) 1998 - 2014 by the deal.II authors
+// Copyright (C) 1998 - 2015 by the deal.II authors
//
// This file is part of the deal.II library.
//
* 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 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.
+ * weighted norms. The weight function may be scalar, establishing a
+ * spatially variable 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 case the other components would have weight values equal to
+ * zero. The ComponentSelectFunction class is particularly useful for this
+ * purpose as it provides such a "mask" weight. The weight function is
+ * expected to be positive, but negative values are not filtered. The
+ * default value of this function, a null pointer, is interpreted as "no
+ * weighting function", 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.