esmail-abdulfattah/smartGrad: Optimization using Smart Numerical Differentiation
A limited-memory technique for improving the accuracy of a numerically computed gradient by exploiting (1) a coordinate transforma-tion of the gradient and (2) the history of previously taken descent directions.The method is verified empirically by extensive experimentation on both testfunctions and on real data applications.
Getting started
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Package details |
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| Maintainer | |
| License | `use_mit_license()`, `use_gpl3_license()` or friends to pick a license |
| Version | 0.0.0.9000 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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