I have the following code that works:
Matrix <float, ny+1, nx> eXX;
eXX.setZero();
Eigen::Matrix< double, (ny+1), (ny)> u;
u.setZero();
for(int i = 0; i< nx; i++){
for(int j = 0; j< ny+1; j++){
eXX(j + (ny+1)*i) = (i)*2*EIGEN_PI/nx;
u(j + (ny+1)*i) = cos(eXX(j + (ny+1)*i));
}
}
But when I write the following it doesn't work:
Matrix <float, ny+1, nx> eXX;
eXX.setZero();
Eigen::Matrix< double, (ny+1), (ny)> u;
u.setZero();
for(int i = 0; i< nx; i++){
for(int j = 0; j< ny+1; j++){
eXX(j + (ny+1)*i) = (i)*2*EIGEN_PI/nx;
}
}
u = eXX.matrix().cos();// -or- std::cos(eXX.array());
std::cout << u << "\n"; //error
The full error message:
Test.cpp:418:23: error: invalid use of incomplete type ‘const class Eigen::MatrixFunctionReturnValue<Eigen::Matrix<float, 11, 10> >’
418 | u = eXX.matrix().cos();
| ^
In file included from /mnt/c/Users/eigen-3.4.0/eigen-3.4.0/Eigen/Core:163,
from /mnt/c/Users/eigen-3.4.0/eigen-3.4.0/Eigen/Dense:1,
from Test.cpp:21:
/mnt/c/Users/eigen-3.4.0/eigen-3.4.0/Eigen/src/Core/util/ForwardDeclarations.h:305:34: note: declaration of ‘class Eigen::MatrixFunctionReturnValue<Eigen::Matrix<float, 11, 10> >’
305 | template<typename Derived> class MatrixFunctionReturnValue;
I guess I could try rewriting eXX
without the use of for loop and pass it but that also doesn't work. Also, I read someone recommending adding something like #include <MatrixFunctionReturnValue>
which made things a lot worse actually. Thanks.
I am adding my includes as well here:
#define _USE_MATH_DEFINES
#include <cmath>
#include<math.h>
#include<stdio.h>
#include "fftw3.h"
#include <cstring>
#include <sstream>
#include <string>
#include <sys/resource.h>
#include <iostream>
#include <vector>
#include <fstream>
#include <iomanip>
#include <numeric>
#include <assert.h>
#include <Eigen/Dense>
#include <unsupported/Eigen/FFT>
#include <Eigen/SparseCore>
#include <Eigen/Sparse>
The Matrix
class is built for linear algebra. When you want to operate over the elements of a matrix you need to the use the Array
class instead. See Eigen documentation on Array . The other way to do this is to use the unaryExpr
to take each element of the matrix as an input.
Here are both methods:
#include <iostream>
#include <Eigen/Dense>
....
Eigen::Matrix<double, 3, 3> vals;
vals.setZero();
std::cout << vals << '\n';
std::cout << "******\n";
std::cout << vals.array().cos() << '\n';
std::cout << vals << '\n';
std::cout << "******\n";
Eigen::Matrix<double, 3, 3> res = vals.unaryExpr([](double a) { return cos(a); });
std::cout << res << '\n';
std::cout << vals << '\n';
Take note of how vals
changes (and doesn't change) with the various operations.
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