Update reverseMC4.cpp

kamilkhanlab · Aug 30, 2023 · b761aef · b761aef
1 parent 93cbd14
commit b761aef
Showing 1 changed file with 6 additions and 6 deletions.
diff --git a/examples/example4/reverseMC4.cpp b/examples/example4/reverseMC4.cpp
@@ -1,7 +1,7 @@
 #include "reverseMC4.hpp"              /* access to Reverse mode of subgradient evaluations */
 /*
 * Reverse mode of automatic differentiation
-* Computations of df/dx required by evalutaing fB
+* Computations of df/dx required by evaluating fB
 */
 N_Vector fRevAD_dfdx(MC xMC[NX], MC pMC[NP], double sub[NRev * NRev], int n, int k)
 {
@@ -23,7 +23,7 @@ N_Vector fRevAD_dfdx(MC xMC[NX], MC pMC[NP], double sub[NRev * NRev], int n, int
 
     /*
     *-----------------------------------------------------------------
-    * The following code was automatically generated by ReverseMC.jl.
+    * The following code was automatically generated by ReverseADforVW.jl.
     *-----------------------------------------------------------------
     */
 
@@ -12323,7 +12323,7 @@ N_Vector fRevAD_dfdx(MC xMC[NX], MC pMC[NP], double sub[NRev * NRev], int n, int
         }
 
         //-----------------------------------------------------------------------
-        // Evaluate subgradients with reverse sweep through computational graph
+        // Evaluate subgradients with a reverse sweep through the computational graph
 
         for (int i = 0; i < L1; i++)
         {
@@ -14463,7 +14463,7 @@ N_Vector fRevAD_dfdx(MC xMC[NX], MC pMC[NP], double sub[NRev * NRev], int n, int
 
 /*
 * Reverse mode of automatic differentiation
-* Computations of df/dp required by evalutaing fQB
+* Computations of df/dp required by evaluating fQB
 */
 N_Vector fRevAD_dfdp(MC xMC[NX], MC pMC[NP], double sub[NRev * NRev], int n)
 {
@@ -14485,7 +14485,7 @@ N_Vector fRevAD_dfdp(MC xMC[NX], MC pMC[NP], double sub[NRev * NRev], int n)
 
     /*
     *-----------------------------------------------------------------
-    * The following code was automatically generated by ReverseMC.jl.
+    * The following code was automatically generated by ReverseADforVW.jl.
     *-----------------------------------------------------------------
     */
 
@@ -26785,7 +26785,7 @@ N_Vector fRevAD_dfdp(MC xMC[NX], MC pMC[NP], double sub[NRev * NRev], int n)
         }
 
         //-----------------------------------------------------------------------
-        // Evaluate subgradients with reverse sweep through computational graph
+        // Evaluate subgradients with a reverse sweep through the computational graph
 
         for (int i = 0; i < L1; i++)
         {