diff --git a/CMakeLists.txt b/CMakeLists.txt
index cc7e58e..6ff97c1 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -9,11 +9,8 @@ INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})
 INCLUDE_DIRECTORIES(${Boost_INCLUDE_DIRS})
 LINK_DIRECTORIES(${Boost_LIBRARY_DIRS})
 
-INCLUDE_DIRECTORIES("/usr/include/")
-LINK_DIRECTORIES("/usr/lib/")
-
 ADD_DEFINITIONS( -Wall -W -Wextra )
 
 ADD_EXECUTABLE(test test.cpp)
-TARGET_LINK_LIBRARIES(test ${Boost_LIBRARIES} gmpxx)
+TARGET_LINK_LIBRARIES(test ${Boost_LIBRARIES})
 
diff --git a/cholesky.h b/cholesky.h
index 8a19602..a131a52 100644
--- a/cholesky.h
+++ b/cholesky.h
@@ -55,9 +55,6 @@ public:
     // FIXME check if triangular types behaviour is like having 0
     typedef ublas::matrix< T > FactorMat;
 
-    //! The type of the scalars
-    typedef T AtomType;
-
     /** Instanciate without computing anything, you are responsible of 
      * calling the algorithm and getting the result with operator()
      * */
@@ -208,8 +205,7 @@ public:
     inline virtual T L_i_i( const typename Cholesky<T>::CovarMat& V, const unsigned int& i, const T& sum ) const
     {
         /***** ugly hack *****/
-        //return sqrt( fabs( V(i,i) - sum) );
-        return sqrt( abs( V(i,i) - sum) );
+        return sqrt( fabs( V(i,i) - sum) );
     }
 };
 
@@ -326,8 +322,8 @@ public:
             T sum = 0.0;
 //            for( unsigned int k=1; k<i-1; ++k) {
 //            for( unsigned int k=1; k<i; ++k) {
-//            for( unsigned int k=0; k<i; ++k) {
-            for( unsigned int k=0; k<i-1; ++k) {
+            for( unsigned int k=0; k<i; ++k) {
+//            for( unsigned int k=0; k<i-1; ++k) {
                 sum += this->_L(i, k) * this->_L(i, k);
             }
             this->_L(i,i) = this->_L(i,i) - sum;
@@ -342,8 +338,8 @@ public:
                     sum = 0.0;
 //                    for( unsigned int k = 1; k < i-1; ++k ) {
 //                    for( unsigned int k = 1; k < i; ++k ) {
-//                    for( unsigned int k = 0; k < i; ++k ) {
-                    for( unsigned int k = 0; k < i-1; ++k ) {
+                    for( unsigned int k = 0; k < i; ++k ) {
+//                    for( unsigned int k = 0; k < i-1; ++k ) {
                         sum += this->_L(j, k) * this->_L(i, k);
                     }
                     this->_L(j,i) = this->_L(j,i) - sum;
diff --git a/test.cpp b/test.cpp
index 98b4388..044d35c 100644
--- a/test.cpp
+++ b/test.cpp
@@ -28,8 +28,6 @@ Authors:
 #include <map>
 #include <vector>
 
-#include <gmpxx.h>
-
 #include "cholesky.h"
 
 
@@ -114,8 +112,7 @@ T trigsum( const MT& M )
     T sum = 0;
     for( unsigned int i=0; i<M.size1(); ++i ) {
         for( unsigned int j=i; j<M.size2(); ++j ) { // triangular browsing
-            //sum += fabs( M(i,j) ); // absolute deviation
-            sum += abs( M(i,j) ); // absolute deviation
+            sum += fabs( M(i,j) ); // absolute deviation
         }
     }
     return sum;
@@ -168,9 +165,7 @@ void test( unsigned int M, unsigned int N, unsigned int F, unsigned int R, unsig
         // a variance-covariance matrix of size N*N
         // Note: a covariance matrix is necessarily semi-positive definite
         //       thus, any failure in the Cholesky factorization is due to round-off errors
-        //CovarMat V = ublas::prod( ublas::trans(S), S );
-        CovarMat ST = ublas::trans(S);
-        CovarMat V = ublas::prod( ST, S );
+        CovarMat V = ublas::prod( ublas::trans(S), S );
         assert( V.size1() == N && V.size2() == N );
 #ifndef NDEBUG
         if( R == 1 ) {
@@ -243,7 +238,6 @@ int main(int argc, char** argv)
     std::clog << "Legend:" << std::endl;
     std::clog << "\tAlgo: (failures/runs)\tAverage error" << std::endl;
 
-    /*
     std::cout << std::endl << "FLOAT" << std::endl;
     test<float>(M,N,F,R,seed);
 
@@ -252,10 +246,5 @@ int main(int argc, char** argv)
 
     std::cout << std::endl << "LONG DOUBLE" << std::endl;
     test<long double>(M,N,F,R,seed);
-    */
-
-    std::cout << std::endl << "MPF 128" << std::endl;
-    mpf_set_default_prec(128);
-    test<mpf_class>(M,N,F,R,seed);
 }