int main()
{
init();
initgraph(640, 480);
sol1();
sol4();
getch();
closegraph();
return 0;
}
double FixedPointStep(const DataStructure& Mesh, const sparse& Diff, const matrix& RHS, vector& x1, vector& x2, vector& x3,
vector& x4, vector& x5, double coef)
{
int Npts = Mesh.GetNverts();
vector theta1 = ConstructTheta(c1,x3),
theta2 = ConstructTheta(c2,x3),
theta3 = ConstructTheta(c3,x3),
RHS1 = RHS[0],
RHS2 = RHS[1],
RHS3 = RHS[2] + kr * x1 * x2 + alfa * c3 * theta3 + delta * c1 * theta1 * x5 + beta * (1.0 - theta2) * c2 * x4,
RHS4 = RHS[3] + (x3 - c3) * alfa * theta3,
RHS5 = RHS[4] + gama * (x3 - c2) * theta2 * x4;
sparse Op1 = Diff * Da, Op2 = Diff * Db, Op3 = Diff * Dc;
vector v1 = coef + kr * x2,
v2 = coef + kr * x1,
v3 = coef + alfa * theta3 + delta * theta1 * x5 + beta * (1.0 - theta2) * x4;
Op1.Diag(v1);
Op2.Diag(v2);
Op3.Diag(v3);
vector sol1 = Op1(RHS1,x1),
sol2 = Op2(RHS2,x2),
sol3 = Op3(RHS3,x3),
sol4(Npts,.0),
sol5(Npts,.0),
Op4 = coef + gama * (x3 - c2) * theta2 + beta * (1.0 - theta2) * (c2 - x3),
Op5 = coef - delta * (x3 - c1) * theta1;
sol4 = RHS4 / Op4;
sol5 = RHS5 / Op5;
double error = max((sol1 - x1).Amax(),max((sol2 - x2).Amax(),max((sol3 - x3).Amax(),max((sol4 - x4).Amax(),(sol5 - x5).Amax()))));
x1 = sol1; x2 = sol2; x3 = sol3; x4 = sol4; x5 = sol5;
return error;
}
int main()
{
eoPop<DualVector> pop;
// fixed test
DualVector sol1(2,-1);
DualVector sol2(2,-1);
DualVector sol3(2,1);
DualVector sol4(2,1);
pop.push_back( sol1 );
pop.push_back( sol2 );
pop.push_back( sol3 );
pop.push_back( sol4 );
// on the sphere function everyone has the same fitness of 1
if( test(pop, 0) != 0 ) {
exit(1);
}
pop.erase(pop.begin(),pop.end());
// fixed test
sol1 = DualVector(2,0);
sol2 = DualVector(2,0);
sol3 = DualVector(2,1);
sol4 = DualVector(2,1);
pop.push_back( sol1 );
pop.push_back( sol2 );
pop.push_back( sol3 );
pop.push_back( sol4 );
if( test(pop, 1) != 1 ) {
exit(1);
}
// test on a random normal distribution
eoNormalGenerator<double> normal(1,rng);
eoInitFixedLength<DualVector> init_N(2, normal);
pop = eoPop<DualVector>( 1000000, init_N );
double iqr = test(pop, 1.09);
if( iqr < 1.08 || iqr > 1.11 ) {
exit(1);
}
}