is used in fitting goal (2) to balance the two goals. For now, I applied Jon Claerbout's idea 1991. Within the conjugate solver routine, the gradient determines in which direction to minimize the residual.
In initial tests, I placed these equations in the solver and calculated a new for each iteration with the first value equal to 1. After about 15 iterations it converged to an almost constant value. This calculated was slightly lower than the that I found by trial and error. Figure 6 was generated using an of 0.4 whereas the calculated for that figure, returned by the above equation, was approximately 0.3.
The calculated does not seem to work on the entire merged data set probably as a result of different data densities. The northern sparsely sampled region needs a different than the southern densely sampled region. In this case, a scalar value is not sufficient.