nlp_in

discretization_set_name = A1OUT
discretization_ispecs = 5
discretization_unmeasured_name = 
discretization_unmeasured_minmax =
discretization_hull_name =
discretization_hull_minmax =

% Estimate of discretization error
discretization_error = 0.15

model_name = NLP
model_fspecs = 9.8  1.4  2.0

maxboxes = 50
p[0] = 0.02		200.0		0.01	2.0
p[1] = 0.0008333333333	8.33333333333	0.01	0.0833333333333
p[2] = 0.03333333333 	333.333333333	0.01	3.33333333333
p_minreduction_fraction = 0.01

%  For each box, the program will loop through windows attempting to make progress. 
%  In Phase 1, the program will loop through the data m times, while overlapping windows
%              by a fraction of p.
%  In Phase 2, the program will loop through the data until no significant progress
%              has been made for n loops through the entire data set, with a cap on
%              q loops through the data.
%  This information can be entered as follows:
%        window_specs = p m n q
loop_specs = 0.5 1 1 5

%  Subbox option is how to process unmeasured variables. 3 options:
%  (1) subbox_specs :     (leaving blank allows for no subboxes)
%  (2) subbox_specs = m n (divide the m-th time step into n subboxes)
%  (3) subbox_specs : m n (divide m unique time steps into n subboxes each)
subbox_specs :

num_data_sets = 1

% Step size used in discretization - can be a range that program chooses from
step_size = 0.05 0.10

num_files_in_set = 1
data_file_name_0 = datafiles/nlp51.txt
%  Now each variable (indexing starts at 0) is specified.
%  There are two ways:
%  (1) Use an equal sign to specify exact lower and upper bounds that are
%      read from the data files and/or here.
%      e.g.    y[0] = timespec  lowerboundspec  upperboundspec   goalwidth
%  (2) Use a colon to specify data from the files that will be processed 
%      through tasle to give lower and upper bounds.
%      e.g.    y[0] : timespec  dataspec  tasle_tmin   goalwidth
%   A "spec" is of the form
%       [file%d][col%d]{+-}%lf
%     where 
%       file%d, if present, specifies the file (default is "file0")
%       col%d, if present, specifies the column in the file (default is null)
%       %lf is a value added/subtracted to the data.
y[0] :  col0  col1  0.18  0.25
% uncomment below if y1 is assumed measured
y[1] :  col0  col2  0.18  0.75
% uncomment below if y1 is assumed unmeasured
% y[1] = col0  -10.0  10.0   3.0


% Specify the minimum reduction of a variable (with respect to its goal width)
% that will be considered a significant reduction.
y_minreduction_fraction = 0.25

write_box_vars = no