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Lines Matching refs:BigFloat

91 function poly_eval(coeffs::Array{BigFloat}, x::BigFloat)  argument
94 return BigFloat(0)
112 function ratfn_eval(ncoeffs::Array{BigFloat}, dcoeffs::Array{BigFloat}, argument
113 x::BigFloat) argument
134 function poly_to_string(coeffs::Array{BigFloat}) argument
155 function ratfn_to_string(ncoeffs::Array{BigFloat}, dcoeffs::Array{BigFloat}) argument
171 function format_xylist(xys::Array{Tuple{BigFloat,BigFloat}}) argument
202 function \(matrix_in :: Array{BigFloat,2},
203 vector_in :: Array{BigFloat,1})
347 function ratfn_leastsquares(f::Function, xvals::Array{BigFloat}, n, d, argument
348 w = (x,y)->BigFloat(1))
353 sums = zeros(BigFloat, maxpow, 3)
369 matrix = array2d(BigFloat, n+d+1, n+d+1)
370 vector = array1d(BigFloat, n+d+1)
425 function goldensection(f::Function, a::BigFloat, b::BigFloat, c::BigFloat) argument
431 one_over_phi = 2 / (1 + sqrt(BigFloat(5)))
497 function find_extrema(f::Function, grid::Array{BigFloat}) argument
499 extrema = array1d(Tuple{BigFloat, BigFloat}, 0)
544 function winnow_extrema(extrema::Array{Tuple{BigFloat,BigFloat}}, n) argument
548 best = fill((BigFloat(0), array1d(Tuple{BigFloat,BigFloat}, 0)), n, 2)
620 function ratfn_equal_deviation(f::Function, coords::Array{BigFloat}, argument
621 n, d, prev_err::BigFloat, argument
622 w = (x,y)->BigFloat(1))
639 matrix = array2d(BigFloat, n+2, n+2)
640 vector = array1d(BigFloat, n+2)
661 dcoeffs = [BigFloat(1)]
693 matrix = array2d(BigFloat, n+d+1, n+d+1)
694 vector = array1d(BigFloat, n+d+1)
719 dcoeffs = vcat([BigFloat(1)], outvector[n+2:n+d+1])
802 function ratfn_minimax(f::Function, interval::Tuple{BigFloat,BigFloat}, n, d, argument
803 w = (x,y)->BigFloat(1))
821 pi = 2*asin(BigFloat(1))
938 m = BigFloat[1 1 2; 3 5 8; 13 34 21]
939 v = BigFloat[1, -1, 2]
949 a = array1d(BigFloat, n+1)
951 a[1+i] = i/BigFloat(n)
962 BigFloat(0), BigFloat(1)/10, BigFloat(4))
964 test(approx_eq(x, asin(BigFloat(1))))
970 for x in BigFloat(0):BigFloat(1)/1000:BigFloat(1)]
984 (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 4, 0)
988 for x = 0:BigFloat(1)/1000:1
993 (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 2, 2)
997 for x = 0:BigFloat(1)/1000:1
1002 (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 4, 0,
1007 for x = 0:BigFloat(1)/1000:1
1012 (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 2, 2,
1017 for x = 0:BigFloat(1)/1000:1
1022 (nc, dc, e, x) = ratfn_minimax(x->exp(x), (BigFloat(0), BigFloat(1)), 2, 1,
1027 for x = 0:BigFloat(1)/1000:1
1224 lo = BigFloat(eval(Meta.parse(argwords[1])))
1225 hi = BigFloat(eval(Meta.parse(argwords[2])))
1257 weight = (x,y)->BigFloat(1)