func main() {
Nf := []float64{5, 7, 10, 13, 15, 20}
Eave := []float64{3.5998e-12, 2.9629e-10, 6.0300e-8, 3.3686e-6, 2.5914e-5, 1.1966e-3}
plt.SetForEps(0.75, 200)
plt.Plot(Nf, Eave, "'b-', marker='.', clip_on=0")
plt.SetYlog()
plt.Gll("$N_f$", "$E_{ave}$", "")
plt.SaveD("/tmp/goga", "multierror.eps")
}
// Plot plot results
func Plot(dirout, fn string, res *Results, yfcn Cb_ycorr, xa, xb float64, argsAna, argsNum string, extra func()) {
// data
if res == nil {
return
}
ndim := len(res.Y)
if ndim < 1 {
return
}
// closed-form solution
var xc []float64
var Yc [][]float64
if yfcn != nil {
np := 101
dx := (xb - xa) / float64(np-1)
xc = make([]float64, np)
Yc = utl.DblsAlloc(np, ndim)
for i := 0; i < np; i++ {
xc[i] = xa + dx*float64(i)
yfcn(Yc[i], xc[i])
}
}
// plot
if argsAna == "" {
argsAna = "'y-', lw=6, label='analytical', clip_on=0"
}
if argsNum == "" {
argsNum = "'b-', marker='.', lw=1, clip_on=0"
}
for j := 0; j < ndim; j++ {
plt.Subplot(ndim+1, 1, j+1)
if yfcn != nil {
plt.Plot(xc, Yc[j], argsAna)
}
plt.Plot(res.X, res.Y[j], argsNum+","+io.Sf("label='%s'", res.Method))
plt.Gll("$x$", "$y$", "")
}
plt.Subplot(ndim+1, 1, ndim+1)
plt.Plot(res.X, res.Dx, io.Sf("'b-', marker='.', lw=1, clip_on=0, label='%s'", res.Method))
plt.SetYlog()
plt.Gll("$x$", "$\\log(\\delta x)$", "")
// write file
if extra != nil {
extra()
}
plt.SaveD(dirout, fn)
}