implement 1D diffusion as class

This commit is contained in:
Max Luebke 2021-11-23 14:56:52 +01:00
parent 3fa31a8f40
commit f2e80c2c48
3 changed files with 131 additions and 0 deletions

96
src/BTCSDiffusion.cpp Normal file
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#include "BTCSDiffusion.hpp"
#include <Eigen/SparseCholesky>
#include <Eigen/SparseLU>
#include <Eigen/SparseQR>
#include <Eigen/src/Core/Matrix.h>
#include <Eigen/src/Core/util/Constants.h>
#include <Eigen/src/OrderingMethods/Ordering.h>
#include <Eigen/src/SparseCholesky/SimplicialCholesky.h>
#include <Eigen/src/SparseCore/SparseMap.h>
#include <Eigen/src/SparseCore/SparseMatrix.h>
#include <Eigen/src/SparseCore/SparseMatrixBase.h>
#include <Eigen/src/SparseLU/SparseLU.h>
#include <Eigen/src/SparseQR/SparseQR.h>
#include <iomanip>
#include <iostream>
const BCSide BTCSDiffusion::LEFT = 0;
const BCSide BTCSDiffusion::RIGHT = 1;
BTCSDiffusion::BTCSDiffusion(int x) : dim_x(x) { this->grid_dim = 1; }
BTCSDiffusion::BTCSDiffusion(int x, int y) : dim_x(x), dim_y(y) {
this->grid_dim = 2;
}
BTCSDiffusion::BTCSDiffusion(int x, int y, int z)
: dim_x(x), dim_y(y), dim_z(z) {
this->grid_dim = 3;
}
void BTCSDiffusion::simulate(std::vector<double> &c, std::vector<double> &alpha,
double timestep) {
double dx = 1. / this->dim_x;
int size = this->dim_x + 2;
Eigen::VectorXd b = Eigen::VectorXd::Constant(size, 0);
Eigen::VectorXd x_out(size);
std::vector<T> tripletList;
tripletList.reserve(c.size() * 3 + bc.size());
int A_line = 0;
for (int i = 1; i < this->dim_x + 1; i++) {
double sx = (alpha[i - 1] * timestep) / (dx * dx);
tripletList.push_back(T(A_line, i, (-1. - 2. * sx)));
tripletList.push_back(T(A_line, i - 1, sx));
tripletList.push_back(T(A_line, i + 1, sx));
b[A_line] = -c[i - 1];
A_line++;
}
tripletList.push_back(T(A_line, 0, 1));
if (bc[0] == -1)
b[A_line] = c[0];
else
b[A_line] = this->bc[0];
A_line++;
tripletList.push_back(T(A_line, size - 1, 1));
// b[A_line] = bc[1];
if (bc[0] == -1)
b[A_line] = c[c.size() - 1];
else
b[A_line] = this->bc[1];
// std::cout << b << std::endl;
Eigen::SparseMatrix<double> A(size, size);
A.setFromTriplets(tripletList.begin(), tripletList.end());
// std::cout << A << std::endl;
Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int>>
solver;
// Eigen::SparseLU<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int>>
// solver;
solver.analyzePattern(A);
solver.factorize(A);
std::cout << solver.lastErrorMessage() << std::endl;
x_out = solver.solve(b);
std::cout << std::setprecision(10) << x_out << std::endl << std::endl;
for (int i = 0; i < c.size(); i++) {
c[i] = x_out[i + 1];
}
}

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src/BTCSDiffusion.hpp Normal file
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#ifndef BTCSDIFFUSION_H_
#define BTCSDIFFUSION_H_
#include <vector>
#include <Eigen/SparseCore>
typedef int BCSide;
typedef Eigen::Triplet<double> T;
class BTCSDiffusion {
public:
static const BCSide LEFT;
static const BCSide RIGHT;
BTCSDiffusion(int x);
BTCSDiffusion(int x, int y);
BTCSDiffusion(int x, int y, int z);
void setBoundaryCondition(std::vector<double> input, BCSide side);
void simulate(std::vector<double> &c, std::vector<double> &alpha,
double timestep);
private:
std::vector<double> bc;
int grid_dim;
int dim_x;
int dim_y;
int dim_z;
};
#endif // BTCSDIFFUSION_H_

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add_library(diffusion OBJECT diffusion.cpp diffusion.hpp)
target_link_libraries(diffusion Eigen3::Eigen)
add_library(diffusion_class OBJECT BTCSDiffusion.cpp)
target_link_libraries(diffusion_class Eigen3::Eigen)
add_executable(test main.cpp)
target_link_libraries(test PUBLIC diffusion)