class_docstr: The problem of fitting thermistor parameters to data, [1]_.
  
  Number of variables --- 3, number of residuals --- 16, no bounds.
  
  .. [1] Brett M. Averick et al. "The MINPACK-2 Test Problem Collection",
         p. 28
class_docstr_tok: ["The","problem","of","fitting","thermistor","parameters","to","data",",","[","1","]","_",".","Number","of","variables","--","-","3",",","number","of","residuals","--","-","16",",","no","bounds",".","..","[","1","]","Brett","M.","Averick","et","al",".","``","The","MINPACK-2","Test","Problem","Collection","''",",","p.","28"]
code: def __init__(self, x0_ind):
      super().__init__(3, 16, 87.94585, x0_ind)
      self.t = 5 + 45 * (1 + np.arange(self.m, dtype=float))
      self.y = np.array(
          [
              3.478e4,
              2.861e4,
              2.365e4,
              1.963e4,
              1.637e4,
              1.372e4,
              1.154e4,
              9.744e3,
              8.261e3,
              7.03e3,
              6.005e3,
              5.147e3,
              4.427e3,
              3.82e3,
              3.307e3,
              2.872e3,
          ]
      )
  
imports: import inspect
  import sys
  import numpy
  from numpy.polynomial.chebyshev import Chebyshev
  from scipy.integrate import odeint
label_desc: Use image node_id 1 to create a new ThermistorResistance object from inherited base classes: LSQBenchmarkProblem with example: obj = ThermistorResistance(x0_ind)