Add missing data type.

Author: zoq

doc/optimizers.md

@@ -1502,11 +1502,12 @@ Frank-Wolfe is a technique to minimize a continuously differentiable convex func
  * `FrankWolfe<`_`LinearConstrSolverType, UpdateRuleType`_`>(`_`linearConstrSolver, updateRule, maxIterations, tolerance`_`)`
 
 The _`LinearConstrSolverType`_ template parameter specifies the constraint
-domain D for the problem.  The `ConstrLpBallSolver` and
-`ConstrStructGroupSolver<GroupLpBall>` classes are available for use; the former
-restricts D to the unit ball of the specified l-p norm.  Other constraint types
-may be implemented as a class with the same method signatures as either of the
-existing classes.
+domain D for the problem.  The `ConstrLpBallSolver` (itself a class template,
+`ConstrLpBallSolver<T>`, change `T` if a different matrix type is required)
+and `ConstrStructGroupSolver<GroupLpBall>` classes are available for use; the
+former restricts D to the unit ball of the specified l-p norm.  Other constraint
+types may be implemented as a class with the same method signatures as either of
+the existing classes.
 
 The _`UpdateRuleType`_ template parameter specifies the update rule used by the
 optimizer.  The `UpdateClassic` and `UpdateLineSearch` classes are available for

include/ensmallen_bits/moead/moead_impl.hpp

@@ -82,8 +82,8 @@ MOEADType(
     differentialWeight(differentialWeight),
     maxReplace(maxReplace),
     epsilon(epsilon),
-    lowerBound({ lowerBound })
-    lowerBound({ upperBound })
+    lowerBound({ lowerBound }),
+    lowerBound({ upperBound }),
     initPolicy(initPolicy),
     decompPolicy(decompPolicy)
   { /* Nothing to do here. */ }

include/ensmallen_bits/smorms3/smorms3_update.hpp

@@ -85,6 +85,8 @@ class SMORMS3Update
                 const double stepSize,
                 const GradType& gradient)
     {
+      using eT = typename MatType::elem_type;
+
       if (lr.is_empty() || lr(0) != stepSize)
       {
         lr.set_size(gradient.n_rows, gradient.n_cols);