Since this is nonlinear system of equations solving for c1, c2,
d1, d2 can be very tough. So to find the solutions I wrote the
following Python code
------------------------------------------------------------------------------
from scipy.optimize import fsolve
import warnings
warnings.filterwarnings('ignore', 'The iteration is not making good
progress')
def equations(p):
c1,c2,d1,d2=p
return(c1*(19.658)**(-d1)+c2*0.9747*(19.658)**(-d2)-0.023903,
c1*(19.855)**(-d1)+c2*0.9745*(19.855)**(-d2)-0.023208,
c1*(20.053)**(-d1)+c2*0.9742*(20.053)**(-d2)-0.022543,
c1*(20.254)**(-d1)+c2*0.9740*(20.254)**(-d2)-0.021893)
c1,c2,d1,d2=fsolve(equations,(100,11,0.001,0.001))
------------------------------------------------------------------------------
I run it with an initial value (100,11,0.001,0.001) and got
c1 = 90.9231135727193
c2 = -18.68314402298009
d1 = 2.3964983439790157
d2 = 1.992088713327671
These are not actual solutions but if you put these values in the equations they will be pretty close with tolerance about 10^(-4).
Solve the system of equations for c1, c2, d1, and d2. none of the variables are zero.
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