Update 4.5Optimization.md

docs/user_guide/4.5Optimization.md

@@ -6,14 +6,12 @@ Automatic differentiation is a crucial component of DMFF and plays a significant
 
 ## 2. Function module 
 
-Imports: Importing necessary modules and functions from `jax` and `optax`.
-
 Function `periodic_move`:
 - Creates a function to perform a periodic update on parameters. If the update causes the parameters to exceed a given range, they are wrapped around in a periodic manner (like an angle that wraps around after 360 degrees).
 
 Function `genOptimizer`:
 - It's a function to generate an optimizer based on user preferences.
-- Depending on the arguments, it can produce various optimization schemes, such as SGD, Nesterov, Adam, and others.
+- Depending on the arguments, it can produce various optimization schemes, such as SGD, Nesterov, Adam, etc.
 - Supports learning rate schedules like exponential decay and warmup exponential decay.
 - The optimizer can be further augmented with features like gradient clipping, periodic parameter wrapping, and keeping parameters non-negative.