Speedup algorithm: Both error bounds and policy iterations

We approximate the continuous random model with labor:

by switching model with infinite many states in order:

.

.

.

where

.

.

.

for many states.

We simulate and calculate each policy function for each as it is set like

independently for each i and calculate the next index number.

When we compute each policy function for each, we apply both error bounds and

policy iterations together.

Technically, we attach option 3 to option 1 and option 2 respectively in the program.