ex08

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Published: Jan 28, 2024 License: MIT Imports: 5 Imported by: 0

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Exercise 3.8 (P63)

Rendering fractals at high zoom levels demands great arithmetic precision. Implement the same fractal using four different representations of numbers: complex64, complex128, big.Float, and big.Rat. (The latter two types are found in the math/big package. Float uses arbitrary but bounded-precision floating-point; Rat uses unbounded-precision rational numbers) How do they compare in performance and memory usage? At what zoom levels do rendering artifacts become visible?

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