diff --git a/src/ves/TD_Multicanonical.cpp b/src/ves/TD_Multicanonical.cpp
index e991cbeb1f..57d21027cf 100644
--- a/src/ves/TD_Multicanonical.cpp
+++ b/src/ves/TD_Multicanonical.cpp
@@ -58,12 +58,9 @@ The advantage with respect to Wang-Landau is that instead of sampling the potent
 
 The algorithm works as follows.
 The target distribution for the potential energy is chosen to be:
-\f[
-p(E)= \begin{cases}
-         \frac{1}{E_2-E_1} & \mathrm{if} \quad E_1<E<E_2 \\
-         0 & \mathrm{otherwise}
-      \end{cases}
-\f]
+
+MISSING EQUATION TO BE FIXED
+
 where the energy limits \f$E_1\f$ and \f$E_2\f$ are yet to be determined.
 Clearly the interval \f$E_1–E_2\f$ chosen is related to the interval of temperatures \f$T_1-T_2\f$.
 To link these two intervals we make use of the following relation:
diff --git a/src/ves/TD_Uniform.cpp b/src/ves/TD_Uniform.cpp
index cbc89ac24c..0d61e3c36b 100644
--- a/src/ves/TD_Uniform.cpp
+++ b/src/ves/TD_Uniform.cpp
@@ -35,16 +35,8 @@ Uniform target distribution (static).
 Using this keyword you can define a uniform target distribution which is a
 product of one-dimensional distributions \f$p_{k}(s_{k})\f$ that are uniform
 over a given interval \f$[a_{k},b_{k}]\f$
-\f[
-p_{k}(s_{k}) =
-\begin{cases}
-\frac{1}{(b_{k}-a_{k})}
-& \mathrm{if} \ a_{k} \leq s_{k} \leq b_{k} \\
-\\
-\ 0
-& \mathrm{otherwise}
-\end{cases}
-\f]
+
+MISSING EQUATION TO BE FIXED
 
 The overall distribution is then given as
 \f[
diff --git a/user-doc/tutorials/others/ves-lugano2017-02-ves1.txt b/user-doc/tutorials/others/ves-lugano2017-02-ves1.txt
index 295d557e3e..63362433ba 100644
--- a/user-doc/tutorials/others/ves-lugano2017-02-ves1.txt
+++ b/user-doc/tutorials/others/ves-lugano2017-02-ves1.txt
@@ -272,14 +272,9 @@ files needed for this example are contained in the directory Example2. Instead
 of introducing a barrier as done in the example above, in this case we will
 use a uniform target distribution in the interval [0.23:0.6] nm and decaying to
 zero in the interval [0.6:0.8] nm. The expression is:
-\f[
-p(s)=
-        \begin{cases}
-                \frac{1}{C} \: &  \mathrm{if} \: s<s_0 \\
-                \frac{1}{C} e^{-\frac{(s-s_0)^2}{2\sigma^2}} \: &
-\mathrm{if} \: s>s_0\\
-        \end{cases}
-\f]
+
+MISSING EQUATION TO BE FIXED
+
 where \f$ s_0=0.6\f$ nm and \f$ \sigma=0.05\f$.
 To define this \f$ p(s) \f$ in Plumed the input is:
 \plumedfile
diff --git a/user-doc/tutorials/others/ves-lugano2017-03-ves2.txt b/user-doc/tutorials/others/ves-lugano2017-03-ves2.txt
index 6dc5de5b80..f64cf6ec57 100644
--- a/user-doc/tutorials/others/ves-lugano2017-03-ves2.txt
+++ b/user-doc/tutorials/others/ves-lugano2017-03-ves2.txt
@@ -75,14 +75,9 @@ p(s)=\frac{p_{\mathrm{WT}}(s) \, p_{\mathrm{barrier}}(s)}
 {\int ds \, p_{\mathrm{WT}}(s) \, p_{\mathrm{barrier}}(s)}
 \f]
 where \f$ p_{\mathrm{WT}}(s) \f$ is the well-tempered target distribution and:
-\f[
-p_{\mathrm{barrier}}(s)=
-        \begin{cases}
-                \frac{1}{C} \: &  \mathrm{if} \: s<s_0 \\
-                \frac{1}{C} e^{-\frac{(s-s_0)^2}{2\sigma^2}} \: &
-\mathrm{if} \: s>s_0\\
-        \end{cases}
-\f]
+
+MISSING EQUATION TO BE FIXED
+
 with \f$ C \f$ a normalization factor.
 The files needed for this exercise are in the directory Example1.
 This target distribution can be specified in plumed using: