# Local Minimizer Table

class fitbenchmarking.results_processing.local_min_table.LocalMinTable(results, best_results, options, group_dir, pp_locations, table_name)

The local min results shows a True or False value together with $$\frac{|| J^T r||}{||r||}$$. The True or False indicates whether the software finds a minimum with respect to the following criteria:

• $$||r|| \leq$$ RES_TOL,

• $$|| J^T r|| \leq$$ GRAD_TOL,

• $$\frac{|| J^T r||}{||r||} \leq$$ GRAD_TOL,

where $$J$$ and $$r$$ are the Jacobian and residual of $$f(x, p)$$, respectively. The tolerances can be found in the results object.