#include #include #include "nr.h" using namespace std; int m,n; DP c2,dx,gmma; int nvar; DP x1,x2; int main(void) // Program sphoot { const int N2=1; bool check; int i; DP q1; Vec_DP v(N2); dx=1.0e-8; nvar=3; for (;;) { cout << endl << "input m,n,c-squared (999 to end)" << endl; cin >> m >> n >> c2; if (c2 == 999) break; if (n < m || m < 0) continue; gmma=1.0; q1=n; for (i=1;i<=m;i++) gmma *= -0.5*(n+i)*(q1--/i); v[0]=n*(n+1)-m*(m+1)+c2/2.0; x1= -1.0+dx; x2=0.0; NR::newt(v,check,NR::shoot); if (check) { cout << "shoot failed; bad initial guess" << endl; } else { cout << " " << "mu(m,n)" << endl; cout << fixed << setprecision(6); cout << setw(12) << v[0] << endl; } } return 0; } void load(const DP x1, Vec_I_DP &v, Vec_O_DP &y) { DP y1 = ((n-m & 1) != 0 ? -gmma : gmma); y[2]=v[0]; y[1] = -(y[2]-c2)*y1/(2*(m+1)); y[0]=y1+y[1]*dx; } void score(const DP xf, Vec_I_DP &y, Vec_O_DP &f) { f[0]=((n-m & 1) != 0 ? y[0] : y[1]); } void derivs(const DP x, Vec_I_DP &y, Vec_O_DP &dydx) { dydx[0]=y[1]; dydx[1]=(2.0*x*(m+1.0)*y[1]-(y[2]-c2*x*x)*y[0])/(1.0-x*x); dydx[2]=0.0; }