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To prevent incorrect approximations, such as cos(1.5707963267949) = 0, we lowered the precision value. This way, the approximation is more selective. However, when ploting functions such as e^(i.pi+x), the float approximation fails and therefore, the function appears "undef". As a result we created two functions Epsilon that behave differently according to the number's type. When it is a double, we want a maximal precision -> epsilon_double = 1x10^(-15), and when it is a float, we accept more agressive approximations -> epsilon_float = 10 x 1x10^(-7). Change-Id: I844ac52ade665f51fe6888db38f4485c193286d9
Epsilon is a high-performance graphing calculator operating system. It includes eight apps that cover the high school mathematics curriculum.
You can try Epsilon straight from your browser in the online simulator.
Diving in
We highly recommend you start by reading the online documentation for this project. You'll learn how to install the SDK and about the overall architecture of the Epsilon.
Contributing
If you run into an issue, we would be very happy if you would file a bug on the issue tracker.
We welcome contributions. For smaller changes just open a pull request straight away. For larger changes we recommend you open an issue first for discussion.
License
NumWorks Epsilon is released under a CC BY-NC-SA License. NumWorks is a registered trademark.