path: root/src/GeneralizedPolynomial-Uniform/common/1d.log

    |\^/|     Maple 7 (IBM INTEL LINUX)
._|\|   |/|_. Copyright (c) 2001 by Waterloo Maple Inc.
 \  MAPLE  /  All rights reserved. Maple is a registered trademark of
 <____ ____>  Waterloo Maple Inc.
      |       Type ? for help.
# util.maple -- misc utility routines
# $Id: util.maple,v 1.3 2002/05/19 13:12:18 jthorn Exp $
> 
#
# fix_rationals - convert numbers to RATIONAL() calls
# nonmatching_names - find names in a list which *don't* have a specified prefix
# sprint_numeric_list - convert a numeric list to a valid C identifier suffix
# print_name_list_dcl - print a C declaration for a list of names
#
# hypercube_points - compute all (integer) points in an N-dimensional hypercube
#
# ftruncate - truncate a file to zero length
#
> 
################################################################################
################################################################################
################################################################################
> 
#
# This function converts all {integer, rational} subexpressions of its
# input except integer exponents and -1 factors in products, into function
# calls
#	RATIONAL(num,den)
# This is useful in conjunction with the  C() library function, since
#
#	C( (1/3) * foo * bar )
#		t0 = foo*bar/3;
#
# generates a (slow) division (and runs the risk of mixed-mode-arithmetic
# problems), while
#
#	C((1.0/3.0) * foo * bar);
#	     t0 = 0.3333333333*foo*bar;
#
# suffers from roundoff error.  With this function,
#
#	fix_rationals((1/3) * foo * bar);
#	     RATIONAL(1,3) foo bar
#	C(%);
#	     t0 = RATIONAL(1.0,3.0)*foo*bar;
#
# which a C preprocessor macro can easily convert to the desired
#
#	     t0 = (1.0/3.0)*foo*bar;
#
# Additionally, this function can be told to leave certain types of
# subexpressions unconverged.  For example,
#	fix_rationals(expr, type, specfunc(integer, DATA));
# will leave all subexpressions of the form  DATA(integer arguments)
# unconverted.
#
# Arguments:
# expr = (in) The expression to be converted.
# inert_fn = (optional in)
#	     If specified, this argument should be a Boolean procedure
#	     or the name of a Boolean procedure.  This procedure should
#	     take one or more argument, and return true if and only if
#	     the first argument should *not* be converted, i.e. if we
#	     should leave this expression unchanged.  See the last
#	     example above.
# ... = (optional in)
#	Any further arguments are passed as additional arguments to
#	the inert_fn procedure.
#
> fix_rationals :=
> proc(
>     expr::{
> 	        algebraic, name = algebraic,
> 	  list({algebraic, name = algebraic}),
> 	  set ({algebraic, name = algebraic})
> 	  },
>     inert_fn::{name, procedure}
>     )
> local nn, k,
>       base, power, fbase, fpower,
>       fn, fn_args_list,
>       num, den, mult;
> 
# do we want to convert this expression?
> if ((nargs >= 2) and inert_fn(expr, args[3..nargs]))
>    then return expr;
> end if;
> 
# recurse over lists and sets
> if (type(expr, {list,set}))
>    then return map(fix_rationals, expr, args[2..nargs]);
> end if;
> 
# recurse over equation right hand sides
> if (type(expr, name = algebraic))
>    then return ( lhs(expr) = fix_rationals(rhs(expr), args[2..nargs]) );
> end if;
> 
# recurse over functions other than  RATIONAL()
> if (type(expr, function))
>    then
> 	fn := op(0, expr);
> 	if (fn <> 'RATIONAL')
> 	   then
> 		fn_args_list := [op(expr)];
> 		fn_args_list := map(fix_rationals, fn_args_list, args[2..nargs]);
> 		fn; return '%'( op(fn_args_list) );
> 	end if;
> end if;
> 
> nn := nops(expr);
> 
# recurse over sums
> if (type(expr, `+`))
>    then return sum('fix_rationals(op(k,expr), args[2..nargs])', 'k'=1..nn);
> end if;
> 
# recurse over products
# ... leaving leading -1 factors intact, i.e. not converted to RATIONAL(-1,1)
> if (type(expr, `*`))
>    then
> 	if (op(1, expr) = -1)
> 	   then return -1*fix_rationals(remove(type, expr, 'identical(-1)'),
> 				        args[2..nargs]);
> 	   else return product('fix_rationals(op(k,expr), args[2..nargs])',
> 			       'k'=1..nn);
> 	end if;
> end if;
> 
# recurse over powers
# ... leaving integer exponents intact
> if (type(expr, `^`))
>    then
> 	base := op(1, expr);
> 	power := op(2, expr);
> 
> 	fbase := fix_rationals(base, args[2..nargs]);
> 	if (type(power, integer))
> 	   then fpower := power;
> 	   else fpower := fix_rationals(power, args[2..nargs]);
> 	end if;
> 	return fbase ^ fpower;
> end if;
> 
# fix integers and fractions
> if (type(expr, integer))
>    then return 'RATIONAL'(expr, 1);
> end if;
> if (type(expr, fraction))
>    then
> 	num := op(1, expr);
> 	den := op(2, expr);
> 
> 	return 'RATIONAL'(num, den);
> end if;
> 
# turn Maple floating-point into integer fraction, then recursively fix that
> if (type(expr, float))
>    then
> 	mult := op(1, expr);
> 	power := op(2, expr);
> 	return fix_rationals(mult * 10^power, args[2..nargs]);
> end if;
> 
# identity op on names
> if (type(expr, name))
>    then return expr;
> end if;
> 
# unknown type
> error "%0",
>       "unknown type for expr!",
>       "   whattype(expr) = ", whattype(expr),
>       "   expr = ", expr;
> end proc;
fix_rationals := proc(expr::{algebraic, name = algebraic,
list({algebraic, name = algebraic}), set({algebraic, name = algebraic})},
inert_fn::{procedure, name})
local nn, k, base, power, fbase, fpower, fn, fn_args_list, num, den, mult;
    if 2 <= nargs and inert_fn(expr, args[3 .. nargs]) then return expr
    end if;
    if type(expr, {set, list}) then
        return map(fix_rationals, expr, args[2 .. nargs])
    end if;
    if type(expr, name = algebraic) then
        return lhs(expr) = fix_rationals(rhs(expr), args[2 .. nargs])
    end if;
    if type(expr, function) then
        fn := op(0, expr);
        if fn <> 'RATIONAL' then
            fn_args_list := [op(expr)];
            fn_args_list :=
                map(fix_rationals, fn_args_list, args[2 .. nargs]);
            fn;
            return '%'(op(fn_args_list))
        end if
    end if;
    nn := nops(expr);
    if type(expr, `+`) then return
        sum('fix_rationals(op(k, expr), args[2 .. nargs])', 'k' = 1 .. nn)
    end if;
    if type(expr, `*`) then
        if op(1, expr) = -1 then return -fix_rationals(
            remove(type, expr, 'identical(-1)'), args[2 .. nargs])
        else return product('fix_rationals(op(k, expr), args[2 .. nargs])',
            'k' = 1 .. nn)
        end if
    end if;
    if type(expr, `^`) then
        base := op(1, expr);
        power := op(2, expr);
        fbase := fix_rationals(base, args[2 .. nargs]);
        if type(power, integer) then fpower := power
        else fpower := fix_rationals(power, args[2 .. nargs])
        end if;
        return fbase^fpower
    end if;
    if type(expr, integer) then return 'RATIONAL'(expr, 1) end if;
    if type(expr, fraction) then
        num := op(1, expr); den := op(2, expr); return 'RATIONAL'(num, den)
    end if;
    if type(expr, float) then
        mult := op(1, expr);
        power := op(2, expr);
        return fix_rationals(mult*10^power, args[2 .. nargs])
    end if;
    if type(expr, name) then return expr end if;
    error "%0", "unknown type for expr!", "   whattype(expr) = ",
        whattype(expr), "   expr = ", expr
end proc

> 
################################################################################
> 
#
# This function finds names in a list which *don't* have a specified prefix.
#
# Arguments:
# name_list = A list of the names.
# prefix = The prefix we want to filter out.
#
# Results:
# This function returns the subset list of names which don't have the
# specified prefix.
# 
> nonmatching_names :=
> proc( name_list::list({name,string}), prefix::{name,string} )
> 
> select(   proc(n)
> 	  evalb(not StringTools[IsPrefix](prefix,n));
> 	  end proc
> 	,
> 	  name_list
>       );
> end proc;
nonmatching_names := proc(
name_list::list({name, string}), prefix::{name, string})
    select(proc(n) evalb(not StringTools[IsPrefix](prefix, n)) end proc,
    name_list)
end proc

> 
################################################################################
> 
#
# This function converts a numeric list to a string which is a valid
# C identifier suffix: elements are separated by "_", decimal points are
# replaced by "x", and all nonzero values have explicit +/- signs, which
# are replaced by "p"/"m".
#
# For example, [0,-3.5,+4] --> "0_m3x5_p4".
#
> sprint_numeric_list :=
> proc(nlist::list(numeric))
> 
# generate preliminary string, eg "+0_-3.5_+4"
> map2(sprintf, "%+a", nlist);
> ListTools[Join](%, "_");
> cat(op(%));
> 
# fixup bad characters
> StringTools[SubstituteAll](%, "+0", "0");
> StringTools[CharacterMap](".+-", "xpm", %);
> 
> return %;
> end proc;
sprint_numeric_list := proc(nlist::list(numeric))
    map2(sprintf, "%+a", nlist);
    ListTools[Join](%, "_");
    cat(op(%));
    StringTools[SubstituteAll](%, "+0", "0");
    StringTools[CharacterMap](".+-", "xpm", %);
    return %
end proc

> 
################################################################################
> 
#
# This function prints a C declaration for a list of names.
#
# Argument:
# name_list = A list of the names.
# name_type = The C type of the names, eg. "double".
# file_name = The file name to write the declaration to.  This is
#	      truncated before writing.
#
> print_name_list_dcl :=
> proc( name_list::list({name,string}),
>       name_type::string,
>       file_name::string )
> local blanks, separator_string;
> 
> ftruncate(file_name);
> 
# a sequence of blanks with the same length as name_type
> seq(" ", i=1..length(name_type));
> 
# string to separate names
> separator_string := cat(",\n", %, " ");
> 
> map(convert, name_list, string);
> ListTools[Join](%, separator_string);
> cat(op(%));
> 
> fprintf(file_name,
> 	"%s %s;\n",
> 	name_type, %);
> 
> fclose(file_name);
> NULL;
> end proc;
print_name_list_dcl := proc(
name_list::list({name, string}), name_type::string, file_name::string)
local blanks, separator_string;
    ftruncate(file_name);
    seq(" ", i = 1 .. length(name_type));
    separator_string := cat(",\n", %, " ");
    map(convert, name_list, string);
    ListTools[Join](%, separator_string);
    cat(op(%));
    fprintf(file_name, "%s %s;\n", name_type, %);
    fclose(file_name);
    NULL
end proc

> 
################################################################################
################################################################################
################################################################################
> 
#
# This function computes a list of all the (integer) points in an
# N-dimensional hypercube, in lexicographic order.  The present
# implementation requires N <= 4.
#
# Arguments:
# cmin,cmax = N-element lists of cube minimum/maximum coordinates.
#
# Results:
# The function returns a set of d-element lists giving the coordinates.
# For example,
#	hypercube([0,0], [2,1]
# returns
#	{ [0,0], [0,1], [1,0], [1,1], [2,0], [2,1] }
> hypercube_points :=
> proc(cmin::list(integer), cmax::list(integer))
> local N, i,j,k,l;
> 
> N := nops(cmin);
> if (nops(cmax) <> N)
>    then error 
> 	"must have same number of dimensions for min and max coordinates!";
> fi;
> 
> if   (N = 1)
>    then return [seq([i], i=cmin[1]..cmax[1])];
> elif (N = 2)
>    then return [
> 		 seq(
> 		   seq([i,j], j=cmin[2]..cmax[2]),
> 		   i=cmin[1]..cmax[1])
> 	       ];
> elif (N = 3)
>    then return [
> 		 seq(
> 		   seq(
> 		     seq([i,j,k], k=cmin[3]..cmax[3]),
> 		     j=cmin[2]..cmax[2] ),
> 		   i=cmin[1]..cmax[1])
> 	       ];
> elif (N = 4)
>    then return [
> 		 seq(
> 		   seq(
> 		     seq(
> 		       seq([i,j,k,l], l=cmin[4]..cmax[4]),
> 		       k=cmin[3]..cmax[3] ),
> 		     j=cmin[2]..cmax[2]),
> 		   i=cmin[1]..cmax[1])
> 	       ];
> else
> 	error "implementation restriction: must have N <= 4, got %1!", N;
> fi;
> end proc;
hypercube_points := proc(cmin::list(integer), cmax::list(integer))
local N, i, j, k, l;
    N := nops(cmin);
    if nops(cmax) <> N then error
        "must have same number of dimensions for min and max coordinates!"
    end if;
    if N = 1 then return [seq([i], i = cmin[1] .. cmax[1])]
    elif N = 2 then return
        [seq(seq([i, j], j = cmin[2] .. cmax[2]), i = cmin[1] .. cmax[1])]
    elif N = 3 then return [seq(
        seq(seq([i, j, k], k = cmin[3] .. cmax[3]), j = cmin[2] .. cmax[2])
        , i = cmin[1] .. cmax[1])]
    elif N = 4 then return [seq(seq(seq(
        seq([i, j, k, l], l = cmin[4] .. cmax[4]), k = cmin[3] .. cmax[3]),
        j = cmin[2] .. cmax[2]), i = cmin[1] .. cmax[1])]
    else error "implementation restriction: must have N <= 4, got %1!", N
    end if
end proc

> 
################################################################################
################################################################################
################################################################################
> 
#
# This function truncates a file to 0 length if it exists, or creates
# it at that length if it doesn't exist.
#
# Arguments:
# file_name = (in) The name of the file.
#
> ftruncate :=
> proc(file_name::string)
> fopen(file_name, 'WRITE');
> fclose(%);
> NULL;
> end proc;
ftruncate :=

    proc(file_name::string) fopen(file_name, 'WRITE'); fclose(%); NULL end proc

# interpolate.maple -- compute generalized interpolation formulas/coefficients
# $Id: interpolate.maple,v 1.4 2002/05/14 15:52:50 jthorn Exp $
> 
#
# <<<representation of numbers, data values, etc>>>
# polynomial_interpolant - compute polynomial interpolant
# coeff_as_lc_of_data - coefficients of ... (linear combination of data)
#
# print_coeff__lc_of_data - print C code to compute coefficients
# print_data_var_assign - print C code to assign data-value variables
# print_interp_coeff_var_store - print C code to store coeff vars "somewhere"
# print_interp_cmpt__lc_of_data - print C code for computation of interpolant
#
# coeff_name - name of coefficient of data at a given [m] coordinate
# data_var_name - name of variable storing data value at a given [m] coordinate
#
> 
################################################################################
> 
#
# ***** representation of numbers, data values, etc *****
#
# We use RATIONAL(p.0,q.0) to denote the rational number p/q.
#
# We use DATA(...) to represent the data values being interpolated at a
# specified [m] coordinate, where the arguments are the [m] coordinates.
#
# We use COEFF(...) to represent the molecule coefficient at a specified
# [m] coordinate, where the arguments are the [m] coordinates.
#
# For example, the usual 1-D centered 2nd order 1st derivative molecule
# would be written
#	RATIONAL(-1.0,2.0)*DATA(-1) + RATIONA(1.0,2.0)*DATA(1)
# and its coefficients as
#	COEFF(-1) = RATIONAL(-1.0,2.0)
#	COEFF(1) = RATIONAL(1.0,2.0)
#
> 
################################################################################
################################################################################
################################################################################
> 
#
# This function computes a polynomial interpolant in any number of dimensions.
#
# Arguments:
# fn = The interpolation function.  This should be a procedure in the
#      coordinates, having the coefficients as global variables.  For
#      example,
#	  proc(x,y) c00 + c10*x + c01*y end proc
# coeff_list = A set of the interpolation coefficients (coefficients in
#	       the interpolation function), for example [c00, c10, c01].
# coord_list = A list of the coordinates (independent variables in the
#	       interpolation function), for example [x,y].
# posn_list = A list of positions (each a list of numeric values) where the
#	      interpolant is to use data, for example  hypercube([0,0], [1,1]).
#	      Any positions may be used; if they're redundant (as in the
#	      example) the least-squares interpolant is computed.
#
# Results:
# This function returns the interpolating polynomial, in the form of
# an algebraic expression in the coordinates and the data values.
#
> polynomial_interpolant :=
> proc(
>       fn::procedure, coeff_list::list(name),
>       coord_list::list(name), posn_list::list(list(numeric))
>     )
> local posn, data_eqns, coeff_eqns;
> 
# coefficients of interpolating polynomial
> data_eqns := {  seq( fn(op(posn))='DATA'(op(posn)) , posn=posn_list )  };
> coeff_eqns := linalg[leastsqrs](data_eqns, {op(coeff_list)});
> if (has(coeff_eqns, '_t'))
>    then error "interpolation coefficients aren't uniquely determined!";
> end if;
> 
# interpolant as a polynomial in the coordinates
> return subs(coeff_eqns, eval(fn))(op(coord_list));
> end proc;
polynomial_interpolant := proc(fn::procedure, coeff_list::list(name),
coord_list::list(name), posn_list::list(list(numeric)))
local posn, data_eqns, coeff_eqns;
    data_eqns := {seq(fn(op(posn)) = 'DATA'(op(posn)), posn = posn_list)};
    coeff_eqns := linalg[leastsqrs](data_eqns, {op(coeff_list)});
    if has(coeff_eqns, '_t') then
        error "interpolation coefficients aren't uniquely determined!"
    end if;
    return subs(coeff_eqns, eval(fn))(op(coord_list))
end proc

> 
################################################################################
> 
#
# This function takes as input an interpolating polynomial, expresses
# it as a linear combination of the data values, and returns the coefficeints
# of that form.
# 
# Arguments:
# interpolant = The interpolating polynomial (an algebraic expression
#		in the coordinates and the data values).
# posn_list = The same list of positions as was used to compute the
#	      interpolating polynomial.
#
# Results:
# This function returns the coefficients, as a list of equations of the
# form   COEFF(...) = value , where each  value  is a polynomial in the
# coordinates.  The order of the list matches that of  posn_list.
#
> coeff_as_lc_of_data :=
> proc(
>       interpolant::algebraic,
>       posn_list::list(list(numeric))
>     )
> local data_list, interpolant_as_lc_of_data;
> 
# interpolant as a linear combination of the data values
> data_list := [ seq( 'DATA'(op(posn)) , posn=posn_list ) ];
> interpolant_as_lc_of_data := collect(interpolant, data_list);
> 
# coefficients of the data values in the linear combination
> return map(
> 	      proc(posn::list(numeric))
> 	      coeff(interpolant_as_lc_of_data, DATA(op(posn)));
> 	      'COEFF'(op(posn)) = %;
> 	      end proc
> 	    ,
> 	      posn_list
> 	  );
> end proc;
coeff_as_lc_of_data := proc(
interpolant::algebraic, posn_list::list(list(numeric)))
local data_list, interpolant_as_lc_of_data;
    data_list := [seq('DATA'(op(posn)), posn = posn_list)];
    interpolant_as_lc_of_data := collect(interpolant, data_list);
    return map(proc(posn::list(numeric))
            coeff(interpolant_as_lc_of_data, DATA(op(posn)));
            'COEFF'(op(posn)) = %
        end proc, posn_list)
end proc

> 
################################################################################
################################################################################
################################################################################
> 
#
# This function prints C expressions for the coefficients of an
# interpolating polynomial.  (The polynomial is expressed as linear
# combinations of the data values with coefficients which are
# RATIONAL(p,q) calls.)
#
# Arguments:
# coeff_list = A list of the coefficients, as returned from
#	       coeff_as_lc_of_data() .
# coeff_name_prefix = A prefix string for the coefficient names.
# temp_name_type = The C type to be used for Maple-introduced temporary
#		   names, eg. "double".
# file_name = The file name to write the coefficients to.  This is
#	      truncated before writing.
#
> print_coeff__lc_of_data :=
> proc( coeff_list::list(specfunc(numeric,COEFF) = algebraic),
>       coeff_name_prefix::string,
>       temp_name_type::string,
>       file_name::string )
> global `codegen/C/function/informed`;
> local coeff_list2, cmpt_list, temp_name_list;
> 
# convert LHS of each equation from a COEFF() call (eg COEFF(-1,+1))
# to a Maple/C variable name (eg coeff_I_m1_p1)
> coeff_list2 := map(
> 		      proc(coeff_eqn::specfunc(numeric,COEFF) = algebraic)
> 		      local posn;
> 		      posn := [op(lhs(coeff_eqn))];
> 		      coeff_name(posn,coeff_name_prefix);
> 		      convert(%, name);	# codegen[C] wants LHS
> 					# to be an actual Maple *name*
> 		      % = fix_rationals(rhs(coeff_eqn));
> 		      end proc
> 		    ,
> 		      coeff_list
> 		  );
> 
#
# generate the C code
#
> 
# tell codegen[C] not to warn about unknown RATIONAL() and DATA() "fn calls"
# via undocumented :( global table
> `codegen/C/function/informed`['RATIONAL'] := true;
> `codegen/C/function/informed`['DATA'] := true;
> 
> ftruncate(file_name);
> 
# optimized computation sequence for all the coefficients
# (may use local variables t0,t1,t2,...)
> cmpt_list := [codegen[optimize](coeff_list2, tryhard)];
> 
# list of the t0,t1,t2,... local variables
> temp_name_list := nonmatching_names(map(lhs,cmpt_list), coeff_name_prefix);
> 
# declare the t0,t1,t2,... local variables (if there are any)
> if (nops(temp_name_list) > 0)
>    then print_name_list_dcl(%, temp_name_type, file_name);
> fi;
> 
# now print the optimized computation sequence
> codegen[C](cmpt_list, filename=file_name);
> 
> fclose(file_name);
> 
> NULL;
> end proc;
print_coeff__lc_of_data := proc(
coeff_list::list(specfunc(numeric, COEFF) = algebraic),
coeff_name_prefix::string, temp_name_type::string, file_name::string)
local coeff_list2, cmpt_list, temp_name_list;
global `codegen/C/function/informed`;
    coeff_list2 := map(proc(
        coeff_eqn::(specfunc(numeric, COEFF) = algebraic))
        local posn;
            posn := [op(lhs(coeff_eqn))];
            coeff_name(posn, coeff_name_prefix);
            convert(%, name);
            % = fix_rationals(rhs(coeff_eqn))
        end proc, coeff_list);
    `codegen/C/function/informed`['RATIONAL'] := true;
    `codegen/C/function/informed`['DATA'] := true;
    ftruncate(file_name);
    cmpt_list := [codegen[optimize](coeff_list2, tryhard)];
    temp_name_list :=
        nonmatching_names(map(lhs, cmpt_list), coeff_name_prefix);
    if 0 < nops(temp_name_list) then
        print_name_list_dcl(%, temp_name_type, file_name)
    end if;
    codegen[C](cmpt_list, filename = file_name);
    fclose(file_name);
    NULL
end proc

> 
################################################################################
> 
#
# This function prints a sequence of C expression to assign the data-value
# variables, eg
#	data_m1_p1 = DATA(-1,1);
#
# Arguments:
# posn_list = The same list of positions as was used to compute the
#	      interpolating polynomial.
# data_var_name_prefix = A prefix string for the data variable names.
# file_name = The file name to write the coefficients to.  This is
#	      truncated before writing.
#
> print_data_var_assign :=
> proc(
>       posn_list::list(list(numeric)),
>       data_var_name_prefix::string,
>       file_name::string
>     )
> 
> ftruncate(file_name);
> map(
>        proc(posn::list(numeric))
>        fprintf(file_name,
> 	       "%s = %a;\n",
> 	       data_var_name(posn,data_var_name_prefix),
> 	       DATA(op(posn)));
>        end proc
>      ,
>        posn_list
>    );
> fclose(file_name);
> 
> NULL;
> end proc;
print_data_var_assign := proc(posn_list::list(list(numeric)),
data_var_name_prefix::string, file_name::string)
    ftruncate(file_name);
    map(proc(posn::list(numeric))
            fprintf(file_name, "%s = %a;\n",
            data_var_name(posn, data_var_name_prefix), DATA(op(posn)))
        end proc, posn_list);
    fclose(file_name);
    NULL
end proc

> 
################################################################################
> 
#
# This function prints a sequence of C expression to store the interpolation
# coefficients in  COEFF(...)  expressions, eg
#	COEFF(1,-1) = factor * coeff_dx_p1_m1;
#
# Arguments:
# posn_list = The same list of positions as was used to compute the
#	      interpolating polynomial.
# RHS_factor_name = If this string is non-empty, then the coefficient is
#		    multiplied by this factor before being stored, eg
#		    setting this to "factor" would give the example above.
#		    If this string is empty (""), the multiplication is
#		    omitted, eg
#			COEFF(1,-1) = coeff_dx_p1_m1;
# coeff_name_prefix = A prefix string for the coefficient names.
# file_name = The file name to write the coefficients to.  This is
#	      truncated before writing.
#
> print_interp_coeff_var_store :=
> proc(
>       posn_list::list(list(numeric)),
>       RHS_factor_name::string,
>       coeff_name_prefix::string,
>       file_name::string
>     )
> 
> ftruncate(file_name);
> map(
>        proc(posn::list(numeric))
>        if (length(RHS_factor_name) > 0)
> 	  then fprintf(file_name,
> 		       "%a = %s * %s;\n",
> 		       'COEFF'(op(posn)),
> 		       RHS_factor_name,
> 		       coeff_name(posn,coeff_name_prefix));
> 	  else fprintf(file_name,
> 		       "%a = %s;\n",
> 		       'COEFF'(op(posn)),
> 		       coeff_name(posn,coeff_name_prefix));
>        end if;
>        end proc
>      ,
>        posn_list
>    );
> fclose(file_name);
> 
> NULL;
> end proc;
print_interp_coeff_var_store := proc(posn_list::list(list(numeric)),
RHS_factor_name::string, coeff_name_prefix::string, file_name::string)
    ftruncate(file_name);
    map(proc(posn::list(numeric))
            if 0 < length(RHS_factor_name) then fprintf(file_name,
                "%a = %s * %s;\n", 'COEFF'(op(posn)), RHS_factor_name,
                coeff_name(posn, coeff_name_prefix))
            else fprintf(file_name, "%a = %s;\n", 'COEFF'(op(posn)),
                coeff_name(posn, coeff_name_prefix))
            end if
        end proc, posn_list);
    fclose(file_name);
    NULL
end proc

> 
################################################################################
> 
#
# This function prints a C expression to compute the interpolant,
# using the coefficients computed by  print_coeff__lc_of_data()
# (i.e. expressing the interpolant as a linear combination of the
# data values).
#
# Arguments:
# posn_list = The same list of positions as was used to compute the
#	      interpolating polynomial.
# result_var_name = The (string) name of the variable to which the
#		    result is to be assigned.
# coeff_name_prefix = A prefix string for the coefficient names.
# data_var_name_prefix = A prefix string for the data variable names.
# file_name = The file name to write the coefficients to.  This is
#	      truncated before writing.
#
> print_interp_cmpt__lc_of_data :=
> proc(
>       posn_list::list(list(numeric)),
>       result_var_name::string,
>       coeff_name_prefix::string,
>       data_var_name_prefix::string,
>       file_name::string
>     )
> 
> ftruncate(file_name);
> 
> fprintf(file_name, "%s =\n", result_var_name);
> 
# list of "coeff*data_var" terms
> map(
>        proc(posn::list(numeric))
>        sprintf("%s*%s",
> 	       coeff_name(posn,coeff_name_prefix),
> 	       data_var_name(posn,data_var_name_prefix));
>        end proc
>      ,
>        posn_list
>    );
> 
> ListTools[Join](%, "\n\t+ ");
> cat(op(%));
> fprintf(file_name, "\t%s;\n", %);
> 
> fclose(file_name);
> 
> NULL;
> end proc;
print_interp_cmpt__lc_of_data := proc(posn_list::list(list(numeric)),
result_var_name::string, coeff_name_prefix::string,
data_var_name_prefix::string, file_name::string)
    ftruncate(file_name);
    fprintf(file_name, "%s =\n", result_var_name);
    map(proc(posn::list(numeric))
            sprintf("%s*%s", coeff_name(posn, coeff_name_prefix),
            data_var_name(posn, data_var_name_prefix))
        end proc, posn_list);
    ListTools[Join](%, "\n\t+ ");
    cat(op(%));
    fprintf(file_name, "\t%s;\n", %);
    fclose(file_name);
    NULL
end proc

> 
################################################################################
################################################################################
################################################################################
> 
#
# This function computes the name of the coefficient of the data at a
# given [m] position, i.e. it encapsulates our naming convention for this.
#
# Arguments:
# posn = (in) The [m] coordinates.
# name_prefix = A prefix string for the coefficient name.
#
# Results:
# The function returns the coefficient, as a Maple string.
#
> coeff_name :=
> proc(posn::list(numeric), name_prefix::string)
> cat(name_prefix, sprint_numeric_list(posn));
> end proc;
coeff_name := proc(posn::list(numeric), name_prefix::string)
    cat(name_prefix, sprint_numeric_list(posn))
end proc

> 
################################################################################
> 
#
# This function computes the name of the variable in which the C code
# will store the input data at a given [m] position, i.e. it encapsulates
# our naming convention for this.
#
# Arguments:
# posn = (in) The [m] coordinates.
# name_prefix = A prefix string for the variable name.
#
# Results:
# The function returns the variable name, as a Maple string.
#
> data_var_name :=
> proc(posn::list(numeric), name_prefix::string)
> cat(name_prefix, sprint_numeric_list(posn));
> end proc;
data_var_name := proc(posn::list(numeric), name_prefix::string)
    cat(name_prefix, sprint_numeric_list(posn))
end proc

# Maple code to compute lists of point positions in hypercube-shaped molecules
# $Id: $
> 
################################################################################
> 
#
# 1D interpolation points
#
> posn_list_1d_size2 := hypercube_points([ 0], [+1]);
                        posn_list_1d_size2 := [[0], [1]]

> posn_list_1d_size3 := hypercube_points([-1], [+1]);
                     posn_list_1d_size3 := [[-1], [0], [1]]

> posn_list_1d_size4 := hypercube_points([-1], [+2]);
                  posn_list_1d_size4 := [[-1], [0], [1], [2]]

> posn_list_1d_size5 := hypercube_points([-2], [+2]);
               posn_list_1d_size5 := [[-2], [-1], [0], [1], [2]]

> posn_list_1d_size6 := hypercube_points([-2], [+3]);
             posn_list_1d_size6 := [[-2], [-1], [0], [1], [2], [3]]

> posn_list_1d_size7 := hypercube_points([-3], [+3]);
          posn_list_1d_size7 := [[-3], [-2], [-1], [0], [1], [2], [3]]

> 
################################################################################
> 
#
# 2D interpolation points (Fortran ordering)
#
> posn_list_2d_size2 := map(ListTools[Reverse],
> 			  hypercube_points([ 0, 0], [+1,+1]));
             posn_list_2d_size2 := [[0, 0], [1, 0], [0, 1], [1, 1]]

> posn_list_2d_size3 := map(ListTools[Reverse],
> 			  hypercube_points([-1,-1], [+1,+1]));
posn_list_2d_size3 := [[-1, -1], [0, -1], [1, -1], [-1, 0], [0, 0], [1, 0],

    [-1, 1], [0, 1], [1, 1]]

> posn_list_2d_size4 := map(ListTools[Reverse],
> 			  hypercube_points([-1,-1], [+2,+2]));
posn_list_2d_size4 := [[-1, -1], [0, -1], [1, -1], [2, -1], [-1, 0], [0, 0],

    [1, 0], [2, 0], [-1, 1], [0, 1], [1, 1], [2, 1], [-1, 2], [0, 2], [1, 2],

    [2, 2]]

> posn_list_2d_size5 := map(ListTools[Reverse],
> 			  hypercube_points([-2,-2], [+2,+2]));
posn_list_2d_size5 := [[-2, -2], [-1, -2], [0, -2], [1, -2], [2, -2], [-2, -1],

    [-1, -1], [0, -1], [1, -1], [2, -1], [-2, 0], [-1, 0], [0, 0], [1, 0],

    [2, 0], [-2, 1], [-1, 1], [0, 1], [1, 1], [2, 1], [-2, 2], [-1, 2], [0, 2],

    [1, 2], [2, 2]]

> 
################################################################################
> 
#
# 3D interpolation points (Fortran ordering)
#
> posn_list_3d_size2 := map(ListTools[Reverse],
> 			  hypercube_points([ 0, 0, 0], [+1,+1,+1]));
posn_list_3d_size2 := [[0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0], [0, 0, 1],

    [1, 0, 1], [0, 1, 1], [1, 1, 1]]

> posn_list_3d_size3 := map(ListTools[Reverse],
> 			  hypercube_points([-1,-1,-1], [+1,+1,+1]));
posn_list_3d_size3 := [[-1, -1, -1], [0, -1, -1], [1, -1, -1], [-1, 0, -1],

    [0, 0, -1], [1, 0, -1], [-1, 1, -1], [0, 1, -1], [1, 1, -1], [-1, -1, 0],

    [0, -1, 0], [1, -1, 0], [-1, 0, 0], [0, 0, 0], [1, 0, 0], [-1, 1, 0],

    [0, 1, 0], [1, 1, 0], [-1, -1, 1], [0, -1, 1], [1, -1, 1], [-1, 0, 1],

    [0, 0, 1], [1, 0, 1], [-1, 1, 1], [0, 1, 1], [1, 1, 1]]

> posn_list_3d_size4 := map(ListTools[Reverse],
> 			  hypercube_points([-1,-1,-1], [+2,+2,+2]));
posn_list_3d_size4 := [[-1, -1, -1], [0, -1, -1], [1, -1, -1], [2, -1, -1],

    [-1, 0, -1], [0, 0, -1], [1, 0, -1], [2, 0, -1], [-1, 1, -1], [0, 1, -1],

    [1, 1, -1], [2, 1, -1], [-1, 2, -1], [0, 2, -1], [1, 2, -1], [2, 2, -1],

    [-1, -1, 0], [0, -1, 0], [1, -1, 0], [2, -1, 0], [-1, 0, 0], [0, 0, 0],

    [1, 0, 0], [2, 0, 0], [-1, 1, 0], [0, 1, 0], [1, 1, 0], [2, 1, 0],

    [-1, 2, 0], [0, 2, 0], [1, 2, 0], [2, 2, 0], [-1, -1, 1], [0, -1, 1],

    [1, -1, 1], [2, -1, 1], [-1, 0, 1], [0, 0, 1], [1, 0, 1], [2, 0, 1],

    [-1, 1, 1], [0, 1, 1], [1, 1, 1], [2, 1, 1], [-1, 2, 1], [0, 2, 1],

    [1, 2, 1], [2, 2, 1], [-1, -1, 2], [0, -1, 2], [1, -1, 2], [2, -1, 2],

    [-1, 0, 2], [0, 0, 2], [1, 0, 2], [2, 0, 2], [-1, 1, 2], [0, 1, 2],

    [1, 1, 2], [2, 1, 2], [-1, 2, 2], [0, 2, 2], [1, 2, 2], [2, 2, 2]]

> posn_list_3d_size5 := map(ListTools[Reverse],
> 			  hypercube_points([-2,-2,-2], [+2,+2,+2]));
posn_list_3d_size5 := [[-2, -2, -2], [-1, -2, -2], [0, -2, -2], [1, -2, -2],

    [2, -2, -2], [-2, -1, -2], [-1, -1, -2], [0, -1, -2], [1, -1, -2],

    [2, -1, -2], [-2, 0, -2], [-1, 0, -2], [0, 0, -2], [1, 0, -2], [2, 0, -2],

    [-2, 1, -2], [-1, 1, -2], [0, 1, -2], [1, 1, -2], [2, 1, -2], [-2, 2, -2],

    [-1, 2, -2], [0, 2, -2], [1, 2, -2], [2, 2, -2], [-2, -2, -1], [-1, -2, -1],

    [0, -2, -1], [1, -2, -1], [2, -2, -1], [-2, -1, -1], [-1, -1, -1],

    [0, -1, -1], [1, -1, -1], [2, -1, -1], [-2, 0, -1], [-1, 0, -1], [0, 0, -1],

    [1, 0, -1], [2, 0, -1], [-2, 1, -1], [-1, 1, -1], [0, 1, -1], [1, 1, -1],

    [2, 1, -1], [-2, 2, -1], [-1, 2, -1], [0, 2, -1], [1, 2, -1], [2, 2, -1],

    [-2, -2, 0], [-1, -2, 0], [0, -2, 0], [1, -2, 0], [2, -2, 0], [-2, -1, 0],

    [-1, -1, 0], [0, -1, 0], [1, -1, 0], [2, -1, 0], [-2, 0, 0], [-1, 0, 0],

    [0, 0, 0], [1, 0, 0], [2, 0, 0], [-2, 1, 0], [-1, 1, 0], [0, 1, 0],

    [1, 1, 0], [2, 1, 0], [-2, 2, 0], [-1, 2, 0], [0, 2, 0], [1, 2, 0],

    [2, 2, 0], [-2, -2, 1], [-1, -2, 1], [0, -2, 1], [1, -2, 1], [2, -2, 1],

    [-2, -1, 1], [-1, -1, 1], [0, -1, 1], [1, -1, 1], [2, -1, 1], [-2, 0, 1],

    [-1, 0, 1], [0, 0, 1], [1, 0, 1], [2, 0, 1], [-2, 1, 1], [-1, 1, 1],

    [0, 1, 1], [1, 1, 1], [2, 1, 1], [-2, 2, 1], [-1, 2, 1], [0, 2, 1],

    [1, 2, 1], [2, 2, 1], [-2, -2, 2], [-1, -2, 2], [0, -2, 2], [1, -2, 2],

    [2, -2, 2], [-2, -1, 2], [-1, -1, 2], [0, -1, 2], [1, -1, 2], [2, -1, 2],

    [-2, 0, 2], [-1, 0, 2], [0, 0, 2], [1, 0, 2], [2, 0, 2], [-2, 1, 2],

    [-1, 1, 2], [0, 1, 2], [1, 1, 2], [2, 1, 2], [-2, 2, 2], [-1, 2, 2],

    [0, 2, 2], [1, 2, 2], [2, 2, 2]]

# Maple code to compute common coefficients for all 1d interpolation schemes
# $Id: 1d.maple,v 1.4 2002/05/14 15:54:01 jthorn Exp $
> 
################################################################################
> 
#
# generic stuff for 1d, cube, size=2
#
> 
> data_var_list_1d_size2 := map(data_var_name, posn_list_1d_size2, "data_");
                data_var_list_1d_size2 := ["data_0", "data_p1"]

> 
> print_name_list_dcl(data_var_list_1d_size2, "fp",
> 		    "1d.cube.size2/data-var.dcl.c");
> print_data_var_assign(posn_list_1d_size2, "data_",
> 		      "1d.cube.size2/data-var.assign.c");
> 
> print_interp_coeff_var_store(posn_list_1d_size2, "", "coeff_I_",
> 			     "1d.cube.size2/coeff-I.store.c");
> print_interp_coeff_var_store(posn_list_1d_size2, "factor", "coeff_dx_",
> 			     "1d.cube.size2/coeff-dx.store.c");
> 
> print_name_list_dcl(map(coeff_name, posn_list_1d_size2, "coeff_I_"), "fp",
> 		    "1d.cube.size2/coeff-I.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size2, "coeff_dx_"), "fp",
> 		    "1d.cube.size2/coeff-dx.dcl.c");
> 
> print_interp_cmpt__lc_of_data(posn_list_1d_size2,
> 			      "result", "coeff_I_", "data_",
> 			      "1d.cube.size2/interp-I.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size2,
> 			      "result", "coeff_dx_", "data_",
> 			      "1d.cube.size2/interp-dx.compute.c");
> 
################################################################################
> 
#
# generic stuff for 1d, cube, size=3
#
> 
> data_var_list_1d_size3 := map(data_var_name, posn_list_1d_size3, "data_");
           data_var_list_1d_size3 := ["data_m1", "data_0", "data_p1"]

> 
> print_name_list_dcl(data_var_list_1d_size3, "fp",
> 		    "1d.cube.size3/data-var.dcl.c");
> print_data_var_assign(posn_list_1d_size3, "data_",
> 		      "1d.cube.size3/data-var.assign.c");
> 
> print_interp_coeff_var_store(posn_list_1d_size3, "", "coeff_I_",
> 			     "1d.cube.size3/coeff-I.store.c");
> print_interp_coeff_var_store(posn_list_1d_size3, "factor", "coeff_dx_",
> 			     "1d.cube.size3/coeff-dx.store.c");
> print_interp_coeff_var_store(posn_list_1d_size3, "factor", "coeff_dxx_",
> 			     "1d.cube.size3/coeff-dxx.store.c");
> 
> print_name_list_dcl(map(coeff_name, posn_list_1d_size3, "coeff_I_"), "fp",
> 		    "1d.cube.size3/coeff-I.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size3, "coeff_dx_"), "fp",
> 		    "1d.cube.size3/coeff-dx.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size3, "coeff_dxx_"), "fp",
> 		    "1d.cube.size3/coeff-dxx.dcl.c");
> 
> print_interp_cmpt__lc_of_data(posn_list_1d_size3,
> 			      "result", "coeff_I_", "data_",
> 			      "1d.cube.size3/interp-I.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size3,
> 			      "result", "coeff_dx_", "data_",
> 			      "1d.cube.size3/interp-dx.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size3,
> 			      "result", "coeff_dxx_", "data_",
> 			      "1d.cube.size3/interp-dxx.compute.c");
> 
################################################################################
> 
#
# generic stuff for 1d, cube, size=4
#
> 
> data_var_list_1d_size4 := map(data_var_name, posn_list_1d_size4, "data_");
     data_var_list_1d_size4 := ["data_m1", "data_0", "data_p1", "data_p2"]

> 
> print_name_list_dcl(data_var_list_1d_size4, "fp",
> 		    "1d.cube.size4/data-var.dcl.c");
> print_data_var_assign(posn_list_1d_size4, "data_",
> 		      "1d.cube.size4/data-var.assign.c");
> 
> print_interp_coeff_var_store(posn_list_1d_size4, "", "coeff_I_",
> 			     "1d.cube.size4/coeff-I.store.c");
> print_interp_coeff_var_store(posn_list_1d_size4, "factor", "coeff_dx_",
> 			     "1d.cube.size4/coeff-dx.store.c");
> print_interp_coeff_var_store(posn_list_1d_size4, "factor", "coeff_dxx_",
> 			     "1d.cube.size4/coeff-dxx.store.c");
> 
> print_name_list_dcl(map(coeff_name, posn_list_1d_size4, "coeff_I_"), "fp",
> 		    "1d.cube.size4/coeff-I.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size4, "coeff_dx_"), "fp",
> 		    "1d.cube.size4/coeff-dx.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size4, "coeff_dxx_"), "fp",
> 		    "1d.cube.size4/coeff-dxx.dcl.c");
> 
> print_interp_cmpt__lc_of_data(posn_list_1d_size4,
> 			      "result", "coeff_I_", "data_",
> 			      "1d.cube.size4/interp-I.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size4,
> 			      "result", "coeff_dx_", "data_",
> 			      "1d.cube.size4/interp-dx.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size4,
> 			      "result", "coeff_dxx_", "data_",
> 			      "1d.cube.size4/interp-dxx.compute.c");
> 
################################################################################
> 
#
# generic stuff for 1d, cube, size=5
#
> 
> data_var_list_1d_size5 := map(data_var_name, posn_list_1d_size5, "data_");
data_var_list_1d_size5 :=

    ["data_m2", "data_m1", "data_0", "data_p1", "data_p2"]

> 
> print_name_list_dcl(data_var_list_1d_size5, "fp",
> 		    "1d.cube.size5/data-var.dcl.c");
> print_data_var_assign(posn_list_1d_size5, "data_",
> 		      "1d.cube.size5/data-var.assign.c");
> 
> print_interp_coeff_var_store(posn_list_1d_size5, "", "coeff_I_",
> 			     "1d.cube.size5/coeff-I.store.c");
> print_interp_coeff_var_store(posn_list_1d_size5, "factor", "coeff_dx_",
> 			     "1d.cube.size5/coeff-dx.store.c");
> print_interp_coeff_var_store(posn_list_1d_size5, "factor", "coeff_dxx_",
> 			     "1d.cube.size5/coeff-dxx.store.c");
> 
> print_name_list_dcl(map(coeff_name, posn_list_1d_size5, "coeff_I_"), "fp",
> 		    "1d.cube.size5/coeff-I.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size5, "coeff_dx_"), "fp",
> 		    "1d.cube.size5/coeff-dx.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size5, "coeff_dxx_"), "fp",
> 		    "1d.cube.size5/coeff-dxx.dcl.c");
> 
> print_interp_cmpt__lc_of_data(posn_list_1d_size5,
> 			      "result", "coeff_I_", "data_",
> 			      "1d.cube.size5/interp-I.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size5,
> 			      "result", "coeff_dx_", "data_",
> 			      "1d.cube.size5/interp-dx.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size5,
> 			      "result", "coeff_dxx_", "data_",
> 			      "1d.cube.size5/interp-dxx.compute.c");
> 
################################################################################
> 
#
# generic stuff for 1d, cube, size=6
#
> 
> data_var_list_1d_size6 := map(data_var_name, posn_list_1d_size6, "data_");
data_var_list_1d_size6 :=

    ["data_m2", "data_m1", "data_0", "data_p1", "data_p2", "data_p3"]

> 
> print_name_list_dcl(data_var_list_1d_size6, "fp",
> 		    "1d.cube.size6/data-var.dcl.c");
> print_data_var_assign(posn_list_1d_size6, "data_",
> 		      "1d.cube.size6/data-var.assign.c");
> 
> print_interp_coeff_var_store(posn_list_1d_size6, "", "coeff_I_",
> 			     "1d.cube.size6/coeff-I.store.c");
> print_interp_coeff_var_store(posn_list_1d_size6, "factor", "coeff_dx_",
> 			     "1d.cube.size6/coeff-dx.store.c");
> print_interp_coeff_var_store(posn_list_1d_size6, "factor", "coeff_dxx_",
> 			     "1d.cube.size6/coeff-dxx.store.c");
> 
> print_name_list_dcl(map(coeff_name, posn_list_1d_size6, "coeff_I_"), "fp",
> 		    "1d.cube.size6/coeff-I.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size6, "coeff_dx_"), "fp",
> 		    "1d.cube.size6/coeff-dx.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size6, "coeff_dxx_"), "fp",
> 		    "1d.cube.size6/coeff-dxx.dcl.c");
> 
> print_interp_cmpt__lc_of_data(posn_list_1d_size6,
> 			      "result", "coeff_I_", "data_",
> 			      "1d.cube.size6/interp-I.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size6,
> 			      "result", "coeff_dx_", "data_",
> 			      "1d.cube.size6/interp-dx.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size6,
> 			      "result", "coeff_dxx_", "data_",
> 			      "1d.cube.size6/interp-dxx.compute.c");
> 
################################################################################
> 
#
# generic stuff for 1d, cube, size=7
#
> 
> data_var_list_1d_size7 := map(data_var_name, posn_list_1d_size7, "data_");
data_var_list_1d_size7 := [

    "data_m3", "data_m2", "data_m1", "data_0", "data_p1", "data_p2", "data_p3"]

> 
> print_name_list_dcl(data_var_list_1d_size7, "fp",
> 		    "1d.cube.size7/data-var.dcl.c");
> print_data_var_assign(posn_list_1d_size7, "data_",
> 		      "1d.cube.size7/data-var.assign.c");
> 
> print_interp_coeff_var_store(posn_list_1d_size7, "", "coeff_I_",
> 			     "1d.cube.size7/coeff-I.store.c");
> print_interp_coeff_var_store(posn_list_1d_size7, "factor", "coeff_dx_",
> 			     "1d.cube.size7/coeff-dx.store.c");
> print_interp_coeff_var_store(posn_list_1d_size7, "factor", "coeff_dxx_",
> 			     "1d.cube.size7/coeff-dxx.store.c");
> 
> print_name_list_dcl(map(coeff_name, posn_list_1d_size7, "coeff_I_"), "fp",
> 		    "1d.cube.size7/coeff-I.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size7, "coeff_dx_"), "fp",
> 		    "1d.cube.size7/coeff-dx.dcl.c");
> print_name_list_dcl(map(coeff_name, posn_list_1d_size7, "coeff_dxx_"), "fp",
> 		    "1d.cube.size7/coeff-dxx.dcl.c");
> 
> print_interp_cmpt__lc_of_data(posn_list_1d_size7,
> 			      "result", "coeff_I_", "data_",
> 			      "1d.cube.size7/interp-I.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size7,
> 			      "result", "coeff_dx_", "data_",
> 			      "1d.cube.size7/interp-dx.compute.c");
> print_interp_cmpt__lc_of_data(posn_list_1d_size7,
> 			      "result", "coeff_dxx_", "data_",
> 			      "1d.cube.size7/interp-dxx.compute.c");
> 
################################################################################
> quit
bytes used=716820, alloc=655240, time=0.16