3D CRS analysis: A data-driven optimization for the simultaneous estimate of the eight parameters
Ernesto Bonomi, Antonio M. Cristini, Daniela Theis, Paolo Marchetti · 2009
We devised a data-driven strategy for the simultaneous estimate of the eight CRS traveltime attributes, solving a global non-linear minimization problem without the need of computing gradients. The essential elements are the following: a conjugate-direction method supported by well known convergence properties and an iterative line-search implementing the strong Wolfe-Powell rule for the control of the steplength. The resulting algorithm can reach very good solutions in presence of many local minima.