Trust Region Optimization in Python
Second-order iterated smoothing algorithms for state estimation
This package implements some optimization methods used in numerical optimiation tasks for neural networks that aren't usually implemented in deep learning frameworks because of their computational constraints.
Implementation of Trust Region and Gradient Descent methods for Multinomial Regression
A trust-region (TR) optimization framework for peak-agnostic ENF detection.
A trust-region framework for moment estimation
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