Arduino Due libraries (official and 3rd party)

Hardware Arduino Due
111

I noticed my post on the Eigen library was for the pc and not the arduino one I wrote for the Due.
I used the library tutorial and got the newest stable release of Eigen to run.
I wold add my ziped library file if I could to make it easier to run Eigen libraries on the DUE in win/linux/mac.
A header and ccp file was needed I named the folder in home/arduino/libraries EIGEN.
The header file was Eigen.h and program file Eigen.cpp

/*
  Eigen.h - Library for adding Eigen library code.
  Created by Joshua Wojnas, September 15, 2015.
*/

#ifndef Eigen_h
#define Eigen_h

#include "Dense"
#include "LU"
#include "Arduino.h" //statement that gives you access to the standard types and constants of the Arduino

using Eigen::MatrixXd;
using namespace std;
using namespace Eigen;


#endif

/*
  Eigen.cpp - Library for adding Eigen library code.
  Created by Joshua Wojnas, September 15, 2015.
*/

#include "Dense"
#include "LU"
#include "Arduino.h"//give the rest of the code access to the standard Arduino functions 
#include "Eigen.h"

using Eigen::MatrixXd;
using namespace std;
using namespace Eigen;

Then their was the program I used to test it by randomvibe

//Eigan library test by josheeg example by random vibe and eigen library team.
#include <Eigen.h>

// PRINT MATRIX (float type)
// By: randomvibe
//-----------------------------


void print_mtxf(const Eigen::MatrixXf& K);


void setup()
{
  Serial.begin(9600);

  // DECLARE MATRICES
  //--------------------
  MatrixXf Pp(6, 6);  // Produces 6x6 float matrix class
  MatrixXf H(6, 6);   // Note: without "using namespace Eigen", declaration would be: Eigen::MatrixXf H(6,6);
  MatrixXf R(6, 6);
  MatrixXf X(6, 6);
  MatrixXf K(6, 6);
  MatrixXf Z(6, 6);

  // INPUT MATRICES (so-called comma-initialize syntax)
  //---------------------------------------------------------
  Pp << 0.3252,  0.3192,  1.0933, -0.0068, -1.0891, -1.4916,
  -0.7549,  0.3129,  1.1093,  1.5326,  0.0326, -0.7423,
  1.3703, -0.8649, -0.8637, -0.7697,  0.5525, -1.0616,
  -1.7115, -0.0301,  0.0774,  0.3714,  1.1006,  2.3505,
  -0.1022, -0.1649, -1.2141, -0.2256,  1.5442, -0.6156,
  -0.2414,  0.6277, -1.1135,  1.1174,  0.0859,  0.7481 ;

  H << 0.8147, 0.2785, 0.9572, 0.7922, 0.6787, 0.7060,
  0.9058, 0.5469, 0.4854, 0.9595, 0.7577, 0.0318,
  0.1270, 0.9575, 0.8003, 0.6557, 0.7431, 0.2769,
  0.9134, 0.9649, 0.1419, 0.0357, 0.3922, 0.0462,
  0.6324, 0.1576, 0.4218, 0.8491, 0.6555, 0.0971,
  0.0975, 0.9706, 0.9157, 0.9340, 0.1712, 0.8235;

  R << 0.3252,  0.3192,  1.0933, -0.0068, -1.0891, -1.4916,
  -0.7549,  0.3129,  1.1093,  1.5326,  0.0326, -0.7423,
  1.3703, -0.8649, -0.8637, -0.7697,  0.5525, -1.0616,
  -1.7115, -0.0301,  0.0774,  0.3714,  1.1006,  2.3505,
  -0.1022, -0.1649, -1.2141, -0.2256,  1.5442, -0.6156,
  -0.2414,  0.6277, -1.1135,  1.1174,  0.0859,  0.7481;


  // Kalman Gain Example; Matlab form:  K = Pp * H' * inv(H * Pp * H' + R)
  //-----------------------------------
  X  = H * Pp * H.transpose() + R;
  K  = Pp * H.transpose() * X.inverse();


  // Print Result
  //----------------------------
  print_mtxf(K);      // Print Matrix Result (passed by reference)


}

void loop()
{
 }


// PRINT MATRIX (float type)
// By: randomvibe
//-----------------------------
void print_mtxf(const Eigen::MatrixXf& X)  
{
   int i, j, nrow, ncol;
   
   nrow = X.rows();
   ncol = X.cols();

   Serial.print("nrow: "); Serial.println(nrow);
   Serial.print("ncol: "); Serial.println(ncol);      
   Serial.println();
   
   for (i=0; i<nrow; i++)
   {
       for (j=0; j<ncol; j++)
       {
           Serial.print(X(i,j), 6);   // print 6 decimal places
           Serial.print(", ");
       }
       Serial.println();
   }
   Serial.println();
}