92 function poly_eval(coeffs::Array{BigFloat}, x::BigFloat)  argument
95         return BigFloat(0)
113 function ratfn_eval(ncoeffs::Array{BigFloat}, dcoeffs::Array{BigFloat},  argument
114                     x::BigFloat)  argument
135 function poly_to_string(coeffs::Array{BigFloat})  argument
156 function ratfn_to_string(ncoeffs::Array{BigFloat}, dcoeffs::Array{BigFloat})  argument
172 function format_xylist(xys::Array{Tuple{BigFloat,BigFloat}})  argument
203 function \(matrix_in :: Array{BigFloat,2},
204            vector_in :: Array{BigFloat,1})
348 function ratfn_leastsquares(f::Function, xvals::Array{BigFloat}, n, d,  argument
349                             w = (x,y)->BigFloat(1))
354     sums = zeros(BigFloat, maxpow, 3)
370     matrix = array2d(BigFloat, n+d+1, n+d+1)
371     vector = array1d(BigFloat, n+d+1)
426 function goldensection(f::Function, a::BigFloat, b::BigFloat, c::BigFloat)  argument
432     one_over_phi = 2 / (1 + sqrt(BigFloat(5)))
498 function find_extrema(f::Function, grid::Array{BigFloat})  argument
500     extrema = array1d(Tuple{BigFloat, BigFloat}, 0)
545 function winnow_extrema(extrema::Array{Tuple{BigFloat,BigFloat}}, n)  argument
549     best = fill((BigFloat(0), array1d(Tuple{BigFloat,BigFloat}, 0)), n, 2)
621 function ratfn_equal_deviation(f::Function, coords::Array{BigFloat},  argument
622                                n, d, prev_err::BigFloat,  argument
623                                w = (x,y)->BigFloat(1))
640         matrix = array2d(BigFloat, n+2, n+2)
641         vector = array1d(BigFloat, n+2)
662         dcoeffs = [BigFloat(1)]
694             matrix = array2d(BigFloat, n+d+1, n+d+1)
695             vector = array1d(BigFloat, n+d+1)
720             dcoeffs = vcat([BigFloat(1)], outvector[n+2:n+d+1])
803 function ratfn_minimax(f::Function, interval::Tuple{BigFloat,BigFloat}, n, d,  argument
804                        w = (x,y)->BigFloat(1))
822         pi = 2*asin(BigFloat(1))
939     m = BigFloat[1 1 2; 3 5 8; 13 34 21]
940     v = BigFloat[1, -1, 2]
950     a = array1d(BigFloat, n+1)
952         a[1+i] = i/BigFloat(n)
963                               BigFloat(0), BigFloat(1)/10, BigFloat(4))
965     test(approx_eq(x, asin(BigFloat(1))))
971                for x in BigFloat(0):BigFloat(1)/1000:BigFloat(1)]
985     (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 4, 0)
989     for x = 0:BigFloat(1)/1000:1
994     (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 2, 2)
998     for x = 0:BigFloat(1)/1000:1
1003     (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 4, 0,
1008     for x = 0:BigFloat(1)/1000:1
1013     (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 2, 2,
1018     for x = 0:BigFloat(1)/1000:1
1023     (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 2, 1,
1028     for x = 0:BigFloat(1)/1000:1
1225     lo = BigFloat(eval(Meta.parse(argwords[1])))
1226     hi = BigFloat(eval(Meta.parse(argwords[2])))
1258         weight = (x,y)->BigFloat(1)