(FPCore (x y z a) :precision binary64 (+ x (- (tan (+ y z)) (tan a))))
(FPCore (x y z a) :precision binary64 (+ x (- (/ (+ (tan z) (tan y)) (- 1.0 (* (tan z) (tan y)))) (tan a))))
double code(double x, double y, double z, double a) {
return x + (tan((y + z)) - tan(a));
}
double code(double x, double y, double z, double a) {
return x + (((tan(z) + tan(y)) / (1.0 - (tan(z) * tan(y)))) - tan(a));
}
real(8) function code(x, y, z, a)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: a
code = x + (tan((y + z)) - tan(a))
end function
real(8) function code(x, y, z, a)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: a
code = x + (((tan(z) + tan(y)) / (1.0d0 - (tan(z) * tan(y)))) - tan(a))
end function
public static double code(double x, double y, double z, double a) {
return x + (Math.tan((y + z)) - Math.tan(a));
}
public static double code(double x, double y, double z, double a) {
return x + (((Math.tan(z) + Math.tan(y)) / (1.0 - (Math.tan(z) * Math.tan(y)))) - Math.tan(a));
}
def code(x, y, z, a): return x + (math.tan((y + z)) - math.tan(a))
def code(x, y, z, a): return x + (((math.tan(z) + math.tan(y)) / (1.0 - (math.tan(z) * math.tan(y)))) - math.tan(a))
function code(x, y, z, a) return Float64(x + Float64(tan(Float64(y + z)) - tan(a))) end
function code(x, y, z, a) return Float64(x + Float64(Float64(Float64(tan(z) + tan(y)) / Float64(1.0 - Float64(tan(z) * tan(y)))) - tan(a))) end
function tmp = code(x, y, z, a) tmp = x + (tan((y + z)) - tan(a)); end
function tmp = code(x, y, z, a) tmp = x + (((tan(z) + tan(y)) / (1.0 - (tan(z) * tan(y)))) - tan(a)); end
code[x_, y_, z_, a_] := N[(x + N[(N[Tan[N[(y + z), $MachinePrecision]], $MachinePrecision] - N[Tan[a], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, a_] := N[(x + N[(N[(N[(N[Tan[z], $MachinePrecision] + N[Tan[y], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(N[Tan[z], $MachinePrecision] * N[Tan[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Tan[a], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
x + \left(\tan \left(y + z\right) - \tan a\right)
x + \left(\frac{\tan z + \tan y}{1 - \tan z \cdot \tan y} - \tan a\right)



Bits error versus x



Bits error versus y



Bits error versus z



Bits error versus a
Results
Initial program 13.2
Applied tan-sum_binary640.2
Applied +-commutative_binary640.2
Final simplification0.2
herbie shell --seed 2022137
(FPCore (x y z a)
:name "tan-example"
:precision binary64
:pre (and (and (and (or (== x 0.0) (and (<= 0.5884142 x) (<= x 505.5909))) (or (and (<= -1.796658e+308 y) (<= y -9.425585e-310)) (and (<= 1.284938e-309 y) (<= y 1.751224e+308)))) (or (and (<= -1.776707e+308 z) (<= z -8.599796e-310)) (and (<= 3.293145e-311 z) (<= z 1.725154e+308)))) (or (and (<= -1.796658e+308 a) (<= a -9.425585e-310)) (and (<= 1.284938e-309 a) (<= a 1.751224e+308))))
(+ x (- (tan (+ y z)) (tan a))))