diff --git a/source/scid/calculus.d b/source/scid/calculus.d
index 8058992..37b9314 100644
--- a/source/scid/calculus.d
+++ b/source/scid/calculus.d
@@ -47,21 +47,21 @@
     finite differences. The functions in this module use three different
     finite-difference formulas: Forward differences,
     ---
-            f(x+h) - f(x)
-    f'(x) = -------------
-                  h
+    df   f(x+h) - f(x)
+    -- = -------------
+    dx         h
     ---
     backward differences,
     ---
-            f(x) - f(x-h)
-    f'(x) = -------------
-                  h
+    df   f(x) - f(x-h)
+    -- = -------------
+    dx         h
     ---
     and central differences,
     ---
-            f(x+h) - f(x-h)
-    f'(x) = ---------------
-                  2 h
+    df   f(x+h) - f(x-h)
+    -- = ---------------
+    dx         2 h
     ---
     Of these three, the latter is the most accurate, but in the cases where
     $(D f(x)) is already known it requires one more function evaluation compared
@@ -1478,11 +1478,16 @@ unittest
     as many function evaluations. The relative accuracy is,
     at best, on the order of $(D sqrt(real.epsilon)).
 
-    This function is used more or less like $(D jacobian()). The
-    differences lie in the parameters described below, which
-    are all optional.
-
     Params:
+        f = The set of functions. This is typically a function or delegate
+            which takes a vector as input and returns a vector. If the
+            function takes a second vector parameter, this is assumed to
+            be a buffer for the return value, and will be used as such.
+
+        m = The number of functions in $(D f).
+
+        x = The point at which to take the derivative.
+
         scale = $(D abs(scale)) is the characteristic scale of the
             function, and the sign of scale determines which
             differentiation method is used. If $(D scale) is
@@ -1494,6 +1499,9 @@ unittest
             Providing this saves one function evaluation if you
             for some reason have already calculated the value. (optional)
 
+        buffer = A buffer of length at least $(I m)*$(I n), for storing the calculated
+            Jacobian matrix. (optional)
+
     Examples:
     ---
     // Continuing with the example for the jacobian() function,
diff --git a/source/scid/ports/minpack/dogleg.d b/source/scid/ports/minpack/dogleg.d
index 18ad245..2460fe9 100644
--- a/source/scid/ports/minpack/dogleg.d
+++ b/source/scid/ports/minpack/dogleg.d
@@ -31,6 +31,7 @@ import scid.ports.minpack.enorm;
     Params:
         n = a positive integer variable set to the order of R.
         r = the upper triangular matrix R.
+        lr = (not documented)
         diag = a vector of length n which must contain the diagonal
             elements of the matrix D.
         qtb = a vector of length n which must contain the first n
diff --git a/source/scid/types.d b/source/scid/types.d
index 22cb9cd..461bafb 100644
--- a/source/scid/types.d
+++ b/source/scid/types.d
@@ -200,7 +200,7 @@ pure: // TODO: Mark as nothrow as soon as DMD bug 5191 is fixed (DMD 2.051)
         $(UL
             $(LI a is infinite, b is finite)
             $(LI a is finite, b is infinite)
-            $(LI a and b are infinite, but have opposite sign.
+            $(LI a and b are infinite, but have opposite sign.)
         )
         If T is an integer type, this is always false.
     */