我一直在修补C / C ++中的一些疾病模型,并希望从中获得更多的精确度。我考虑使用长双精度,对于80位精度(我使用的是cygwin的GCC 4.8.3),但在用它计算之后,我得到一个“nan”(不是数字)输出值。这是我正在使用的代码。所有变量都是长双倍。
#include <cstdlib>
#include <iostream>
#include <cstdio>
#include <ctime>
#include <random>
#include <omp.h>
#include <cfloat>
using namespace std;
int
main ( int argc, char** argv )
{
long double S, E, I, R, V, dS, dE, dI, dR, dV;
long double a, b, g, t, c, d, e, f;
long double dt = .005, tmax = 365;
S = 318000000;
I = 1;
E = 0;
R = 0;
V = 0;
FILE* F;
F = fopen ( "valoresSIR1.txt", "w+" );
//fprintf ( F, "Tempo, Susceptivel, Incubado, Infectado, Recuperado, Vacinado\n" );
a = 0.000005;
b = 0.01;
c = 0.05;
d = 0.000034;
e = 0.00000;
f = 0.0;
g = 0.000000;
t = 0.0000;
//printf("%Lg", a); exit(0);
for ( long double i = 0; i < tmax; i += dt )
{
dS = ( - a * I * S - g + t * R + d * ( S + E + R + V ) - f * S ) * dt;
dE = ( a * I * S - c * E - g ) * dt;
dI = ( c * E - g - e * I - b * I ) * dt;
dR = ( b * I - g - t * R ) * dt;
dV = ( f * S - g ) * dt;
S += dS;
E += dE;
I += dI;
R += dR;
V += dV;
//printf ( "%Lg, %Lg, %Lg, %Lg, %Lg, %Lg\n", S, E, I, R, V );
std::cout.precision (50);
std::cout << S << std::endl;
exit ( 0 );
fprintf ( F, "%Lg, %Lg, %Lg, %Lg, %Lg, %Lg\n", i, S, E, I, R, V );
switch ( ( int ) i )
{
case 0: std::cout << i << endl;
break;
case 100: std::cout << i << endl;
break;
case 200: std::cout << i << endl;
break;
case 300: std::cout << i << endl;
break;
case 4000: std::cout << i << endl;
break;
case 5000: std::cout << i << endl;
break;
case 6000: std::cout << i << endl;
break;
case 7000: std::cout << i << endl;
break;
}
}
fclose ( F );
return 0;
}
答案 0 :(得分:4)
计算dS = ( - a * I * S - g + t * R + d * ( S + E + R + V ) - f * S ) * dt;
使用未初始化的变量V
。这会导致未定义的行为。
当发生未定义的行为时,任何事情都可能发生。在您的情况下,它表现为nan
是涉及V
的操作的结果。