ACORNS: An easy-to-use code generator for gradients and Hessians
نویسندگان
چکیده
The computation of first and second-order derivatives is a staple in many computing applications, ranging from machine learning to scientific computing. We propose an algorithm automatically differentiate algorithms written subset C99 code its efficient implementation as Python script. demonstrate that our enables automatic, reliable, differentiation common used physical simulation geometry processing.
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ژورنال
عنوان ژورنال: SoftwareX
سال: 2022
ISSN: ['2352-7110']
DOI: https://doi.org/10.1016/j.softx.2021.100901