diff --git a/examples/polopt.jl b/examples/polopt.jl
index 289ac9d..af07dfb 100644
--- a/examples/polopt.jl
+++ b/examples/polopt.jl
@@ -1,5 +1,5 @@
 """
- Solve a global optimization problem with GMP.jl 
+ Solve a global optimization problem with MomentOpt.jl 
  For theortic background see : https://epubs.siam.org/doi/10.1137/S1052623400366802
 
  Let K be a basic semialgebraic compact set and f a polynomial function. We are intersted in 
@@ -8,13 +8,13 @@
  min f(x)
      x∈K
 
-An equivalent formulation of this problem as GMP is given by
+An equivalent formulation of this problem as Generalized Moment Problem is given by
 
 min <μ,f>
     <μ,1> = 1
      μ∈M(K)
 
-The optimal measure in the GMP above will be atomic and each atom will be a global minimizer 
+The optimal measure in the Generalized Moment Problem above will be atomic and each atom will be a global minimizer 
 of f on K. 
 """
 
diff --git a/examples/volume.jl b/examples/volume.jl
index e3e2497..85155c5 100644
--- a/examples/volume.jl
+++ b/examples/volume.jl
@@ -1,10 +1,10 @@
 """
- Approximate the volume of a semi algebraic set with GMP.jl.
+ Approximate the volume of a semi algebraic set with MomentOpt.jl.
  For theoretical background see : https://homepages.laas.fr/henrion/Papers/volume.pdf
 
  Let K ⊆ B ⊆ R^n be semialgebraic compact sets and the moments of a the Lebesgue meausre 
  on B be known. One is interested in computing the volume of K. This can be done by solving
- the GMP
+ the Generalized Moment Problem
 
   max <μ,1>
  	μ + ν = λ
@@ -39,8 +39,8 @@ using Plots
 pyplot()
 
 
-# relaxation order for the GMP
-order =6 
+# relaxation order for the Generalized Moment Problem
+order = 6
 
 # polnomial variables
 @polyvar x y
diff --git a/src/model.jl b/src/model.jl
index 9628f93..ac2d491 100644
--- a/src/model.jl
+++ b/src/model.jl
@@ -1,14 +1,14 @@
 export GMPModel, add_measure!, measures, add_constraints!, add_constraint!
 
 """
-GMP 
+A Generalized Moment Problem
 """
 mutable struct GMPModel
 	objective::OBJ where OBJ<:AbstractMomentObjective
 	constraints::Vector{<:AbstractMomentConstraint}
 	measures::Vector{Measure}
 
-	dual::JuMP.Model		
+	dual::JuMP.Model
 	cref::Dict{Measure,Any}
 	dref::Dict{Any,Any}
 	dstatus::MathOptInterface.TerminationStatusCode
@@ -45,7 +45,7 @@ end
 
 function add_measure!(m::GMPModel, name::String, vars::Vector{V} ;kwargs...) where V<:MP.AbstractVariable
 	append!(m.measures,[Measure(name,vars;kwargs...)])
-end	
+end
 
 function measures(gmp::GMPModel)
 	return gmp.measures
@@ -99,7 +99,7 @@ function add_objective!(gmp::GMPModel,sense::Symbol,mu::Measure,pol::PT) where {
 	obj = MomObj(sense, Mom(pol,mu))
 	add_objective!(gmp,obj)
 end
-	
+
 function add_objective!(gmp::GMPModel,sense::Symbol,pol::T,mu::Measure) where {M<:AbstractMomentExpressionLike, T<:Number}
 	obj = MomObj(sense, CMom(pol,mu))
 	add_objective!(gmp,obj)
@@ -109,4 +109,4 @@ function add_objective!(gmp::GMPModel,sense::Symbol,mu::Measure,pol::T) where {M
 	obj = MomObj(sense, CMom(pol,mu))
 	add_objective!(gmp,obj)
 end
-	
+