hgm
Holonomic Gradient Method and Gradient Descent
The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization constants of unnormalized probability distributions by utilizing holonomic systems of differential or difference equations. The holonomic gradient descent (HGD, hgd) gives a method to find maximal likelihood estimates by utilizing the HGM.
- Version1.23
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release01/31/2023
Documentation
Team
Nobuki Takayama
Hiromasa Nakayama
Kenta Nishiyama
Tomonari Sei
Tamio Koyama
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- Depends1 package