Files
Jacobi-s-method/main.cpp
T
2026-08-24 19:27:25 +02:00

106 lines
2.0 KiB
C++

#include "vector.hpp"
#include "matrix.hpp"
#include <stdexcept>
Matrix computeR(Matrix A) {
Matrix R = A;
for(int i=0; i<R.size()[0];i++) {
R(i,i)=0.0;
}
return R;
}
Vector computeInvD(const Matrix& A) {
Vector invD(A.size()[0]);
for(int i=0; i<invD.size();i++) {
if(A(i,i)==0.0) {
throw std::runtime_error("A matrix contains a 0 on diagonal");
}
invD(i)=1/A(i,i);
}
return invD;
}
Vector Jacobi(const Vector& B, const Matrix& R, const Vector& InvD) {
int size = B.size();
Vector k(size);
Vector k_1(size);
int iter=1;
double errorNorm;
// D⁻¹b
Vector firstPartial(size);
for(int i=0; i<size; i++) {
firstPartial(i)=InvD(i)*B(i);
}
// D⁻¹R
Matrix secondPartial(size,size);
for(int i=0; i<size; i++) {
for(int j=0; j<size; j++) {
secondPartial(i,j)=InvD(i)*R(i,j);
}
}
do {
k=k_1;
// finalizing
Vector finalSecondPartial(size);
for(int i=0; i<size; i++) {
for(int j=0; j<size; j++) {
finalSecondPartial(i)+=secondPartial(i,j)*k(j);
}
}
Vector error(size);
for(int i=0; i<size; i++) {
k_1(i)=firstPartial(i)-finalSecondPartial(i);
error(i)=k(i)-k_1(i);
}
iter+=1;
errorNorm=error.norm();
} while (errorNorm>1e-6 && iter<100);
std::cout << "Converge in " << iter << " tentativi.\n";
k_1.print();
return k_1;
}
int main() {
Matrix A(4,4);
A(0,0)=4;
A(0,1)=2;
A(0,2)=0;
A(0,3)=1;
A(1,0)=3;
A(1,1)=5;
A(1,2)=2;
A(1,3)=0;
A(2,0)=1;
A(2,1)=0;
A(2,2)=3;
A(2,3)=0;
A(3,0)=3;
A(3,1)=2;
A(3,2)=2;
A(3,3)=8;
Vector B(4);
B(0)=5;
B(1)=0;
B(2)=4;
B(3)=2;
Matrix R = computeR(A);
Vector InvD = computeInvD(A);
// x^(k+1) = D⁻¹b - D⁻¹R · x^(k)
Jacobi(B, R, InvD);
return 0;
}