Average Error: 0.0 → 0.0
Time: 3.1s
Precision: binary64
\[e^{re} \cdot \sin im\]
\[\sqrt{e^{re}} \cdot \left(\sqrt{e^{re}} \cdot \sin im\right)\]
e^{re} \cdot \sin im
\sqrt{e^{re}} \cdot \left(\sqrt{e^{re}} \cdot \sin im\right)
(FPCore (re im) :precision binary64 (* (exp re) (sin im)))
(FPCore (re im)
 :precision binary64
 (* (sqrt (exp re)) (* (sqrt (exp re)) (sin im))))
double code(double re, double im) {
	return ((double) (((double) exp(re)) * ((double) sin(im))));
}
double code(double re, double im) {
	return ((double) (((double) sqrt(((double) exp(re)))) * ((double) (((double) sqrt(((double) exp(re)))) * ((double) sin(im))))));
}

Error

Bits error versus re

Bits error versus im

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program Error: 0.0 bits

    \[e^{re} \cdot \sin im\]
  2. Using strategy rm
  3. Applied add-sqr-sqrtError: 0.0 bits

    \[\leadsto \color{blue}{\left(\sqrt{e^{re}} \cdot \sqrt{e^{re}}\right)} \cdot \sin im\]
  4. Applied associate-*l*Error: 0.0 bits

    \[\leadsto \color{blue}{\sqrt{e^{re}} \cdot \left(\sqrt{e^{re}} \cdot \sin im\right)}\]
  5. SimplifiedError: 0.0 bits

    \[\leadsto \sqrt{e^{re}} \cdot \color{blue}{\left(\sin im \cdot \sqrt{e^{re}}\right)}\]
  6. Final simplificationError: 0.0 bits

    \[\leadsto \sqrt{e^{re}} \cdot \left(\sqrt{e^{re}} \cdot \sin im\right)\]

Reproduce

herbie shell --seed 2020204 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))