Efficient math optimization C++ library
ensmallen provides a simple set of abstractions for writing an objective
function to optimize. It also provides a large set of standard and
cutting-edge optimizers that can be used for virtually any mathematical
optimization task. These include full-batch gradient descent techniques,
small-batch techniques, gradient-free optimizers,
and constrained optimization.
- Developed at devel:libraries:c_c++
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3
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Source Files
| Filename | Size | Changed |
|---|---|---|
| ensmallen-2.21.1.tar.gz | 0001336254 1.27 MB | |
| ensmallen.changes | 0000004063 3.97 KB | |
| ensmallen.spec | 0000002429 2.37 KB |
Latest Revision
Ana Guerrero (anag+factory)
accepted
request 1158790
from
Dirk Mueller (dirkmueller)
(revision 7)
- update to 2.21.1:
* Fix numerical precision issues for small-gradient L-BFGS
scaling factor computations (#392).
* Ensure the tests are built with optimisation enabled
* Clarify return values for different callback types
* Fix return types of callbacks
* Minor cleanup for printing optimization reports via
`Report()`
* Avoid deprecation warnings in Armadillo 11.2+
- Update to version 2.12.1
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