p=4.3 k=1 signs=[1] best ratio=1.000000000000 sigma2=2.43e-15 atoms(c,lam)=[(np.float64(0.1114), np.float64(80.57327))] A=0.006425
p=4.3 k=2 signs=[1, 1] best ratio=1.000000000000 sigma2=3.242e-13 atoms(c,lam)=[(np.float64(0.1424), np.float64(0.38524)), (np.float64(0.1424), np.float64(48.96015))] A=0.01129
numerics/killer_search2.py:31: RuntimeWarning: overflow encountered in scalar power
  lam = w[j + 1] / cj ** 2
numerics/killer_search2.py:68: RuntimeWarning: overflow encountered in scalar power
  atoms = [(signs[j] * c[j], w[j + 1] / c[j] ** 2) for j in range(k)]
numerics/idlaw.py:73: RuntimeWarning: overflow encountered in scalar power
  A = sum(abs(c) ** p * lam for c, lam in atoms)
numerics/idlaw.py:73: RuntimeWarning: invalid value encountered in scalar multiply
  A = sum(abs(c) ** p * lam for c, lam in atoms)
numerics/idlaw.py:74: RuntimeWarning: overflow encountered in scalar multiply
  B = sigma2 + sum(c * c * lam for c, lam in atoms)
numerics/idlaw.py:74: RuntimeWarning: invalid value encountered in scalar multiply
  B = sigma2 + sum(c * c * lam for c, lam in atoms)
p=4.3 k=2 signs=[1, -1] best ratio=1.000000000000 sigma2=9.547e-16 atoms(c,lam)=[(np.float64(0.1), np.float64(99.99729)), (np.float64(-3.891440764937339e+192), np.float64(0.0))] A=nan
p=4.3 k=3 signs=[1, 1, -1] best ratio=1.000000000000 sigma2=1.153e-13 atoms(c,lam)=[(np.float64(0.1093), np.float64(83.70481)), (np.float64(103.9865), np.float64(0.0)), (np.float64(-0.0), np.float64(0.0))] A=0.006149
p=4.3 k=3 signs=[1, -1, -1] best ratio=1.000000000000 sigma2=5.06e-23 atoms(c,lam)=[(np.float64(3230.0903), np.float64(0.0)), (np.float64(-0.1023), np.float64(95.5595)), (np.float64(-0.0), np.float64(9e-05))] A=0.005281
