Transparent, calculator-style first and second-order derivatives.
- Abraham Lee
- Transparent calculations with little or no modification to existing code
- Nearly full support for standard math module functions
- Basic out-of-the-box NumPy support without any code changes (due to generic object operations, though some functions will crash)
- Application Server
Licensing: open source
Entries in our publication database that actually use ad in the numerical experiments: 0
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