def check_completion(self):
        """
        Returns a Bool of whether the algorithm has found a satisfactory minimum
        """
        terminate = False
        term_dict = self.get_termination_stats(get_cos=self.costol is not None)
        terminate |= np.all(np.abs(term_dict['delta_vals']) < self.paramtol)
        terminate |= (term_dict['delta_err'] < self.errtol)
        terminate |= (term_dict['exp_err'] < self.exptol)
        terminate |= (term_dict['frac_err'] < self.fractol)
        if self.costol is not None:
            terminate |= (curcos < term_dict['model_cosine'])

        return terminate
def check_completion(self):
        """
        Returns a Bool of whether the algorithm has found a satisfactory minimum
        """
        terminate = False
        term_dict = self.get_termination_stats(get_cos=self.costol is not None)
        terminate |= np.all(np.abs(term_dict['delta_vals']) < self.paramtol)
        terminate |= (term_dict['delta_err'] < self.errtol)
        terminate |= (term_dict['exp_err'] < self.exptol)
        terminate |= (term_dict['frac_err'] < self.fractol)
        if self.costol is not None:
            terminate |= (curcos < term_dict['model_cosine'])

        return terminate
def check_completion ( self ) : terminate = False term_dict = self . get_termination_stats ( get_cos = self . costol is not None ) terminate |= np . all ( np . abs ( term_dict [ 'delta_vals' ] ) < self . paramtol ) terminate |= ( term_dict [ 'delta_err' ] < self . errtol ) terminate |= ( term_dict [ 'exp_err' ] < self . exptol ) terminate |= ( term_dict [ 'frac_err' ] < self . fractol ) if self . costol is not None : terminate |= ( curcos < term_dict [ 'model_cosine' ] ) return terminate
Returns a Bool of whether the algorithm has found a satisfactory minimum
Returns a Bool of whether the algorithm has found a satisfactory minimum