Advanced Optimization
36 words
1 min read
Visual companion
Python
Type and operator map
Python Week 1: the first filter for runtime behavior
View
Revision summary
What this note is really saying
Short form
# Advanced Optimization ## 8.1 Newton-Raphson for GLM Iteratively re-weighted least squares (IRLS): $$ \boldsymbol{\beta}^{(t+1)} = (\mathbf{X}^T\mathbf{W}\mathbf{X})^{-1}\mathbf{X}^T\mathbf{W}\mathbf{z} $$ ## 8.2 BFGS (Quasi-Newton) Approximates Hessian using gradient information, avoiding $O(p^3)$ computation. [Jo...

Advanced Optimization
8.1 Newton-Raphson for GLM
Iteratively re-weighted least squares (IRLS):
8.2 BFGS (Quasi-Newton)
Approximates Hessian using gradient information, avoiding O(p3) computation.
Join Discord
PreviousNumerical Linear AlgebraNextNumerical Optimization