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Dane Sabo 2026-01-14 15:47:27 -05:00
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---
id: 2026-03
title: Weekly — 2026-01-14
type: Weekly
created: 2026-01-14T18:46:24Z
modified: 2026-01-14T19:21:41Z
tags: [weekly]
---
# Weekly - 2026 CW 03 (Wed 2026-01-14)
## Accomplishments
- Finished FRET tutorial I was working on. I've still got
weird dependency things I need to figure out. Moving to a
mac has caused some interesting quirks but I'm working them
out.
- Read Hybrid Automata: An Algorithmic Approach to
Specification and Verification of Hybrid Systems
- Did 2 interviews for chair search and read additional
applicants stuff.
- Bob asked me for help for ENGR 1933. I completed my RAMP
training to get recertified.
- Completed the review form.
- Did maneuvering with Emerson to get them moving on an
offer. INL sent me a formal offer letter.
### Chair-Search
- ✓ Read additional applican and provide scords
- ✓ Read Clarks application and provide review scores
- ✓ Read remaining two applicants and provide scores
### Thesis
- ✓ Do FRET tutorials
## Pushed or Rescheduled
### Thesis
- The Algorithmic Analysis of Hybrid Systems (1995) — rescheduled
- Hybrid Automata: An Algorithmic Approach to the Specification and Verification of Hybrid Systems (1993) — rescheduled
- Hamilton-Jacobi Reachability: A Brief Overview and Recent Advances (2017) — rescheduled
### Other
- Investigate DICE conference — rescheduled
## Cancelled or Deleted
No tasks were cancelled or deleted this week.
## To Do
- Decide on an internship
- Additional interviews this week
- Review meeting is this week.
- Re-outline research approach. Identify the holes
- Plan out a prelim problem. Maybe a simple version of what
HARDENS did. Just initiating scram?
- Follow up with IT about what the hell is sending packets
from the ARCADE puter.
### Due This Week
No tasks are due in the next 7 days.
### High Priority
**Thesis (reading)**
- The Algorithmic Analysis of Hybrid Systems (1995) — Urgency: 17.8 (overdue by 5 days)
- Hybrid Automata: An Algorithmic Approach to the Specification and Verification of Hybrid Systems (1993) — Urgency: 13.8 (overdue by 5 days)
- Hamilton-Jacobi Reachability: A Brief Overview and Recent Advances (2017) — Urgency: 13.8 (overdue by 5 days)
- Hybrid Systems: Review and Recent Progress (2003) — Urgency: 2.45
- Multiple Lyapunov Functions and Other Analysis Tools for Switched and Hybrid Systems (1998) — Urgency: 2.45
**Other**
- Investigate DICE conference — Urgency: 15.8
**ERLM (editing/writing)**
- Add research tasks to research approach section — Urgency: 2.51
**Zettelkasten**
- AIGER Circuits — Urgency: 3.25
- Reactive Synthesis — Urgency: 3.25
- Write about opp. chall. and res. needs for remote micro ope. — Urgency: 3.22

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@ -3,7 +3,7 @@ id: 20260114132351
title: Bayes' Theorem
type: permanent
created: 2026-01-14T18:23:51Z
modified: 2026-01-14T18:42:20Z
modified: 2026-01-14T18:43:20Z
tags: []
---
@ -33,8 +33,9 @@ We can apply Bayes' Theorem to states in time too.
$$ P(X_t|Y_t) = \frac{P(Y_t|X_t) P(X_t)}{P(Y_t)} $$
where:
- $ X_{t+1} = f(x_t, w_t) $
- $ Y_{t} = f(x_t) + v_t $
- $X_{t+1} = f(x_t, w_t)$
- $Y_{t} = f(x_t) + v_t$
$w_t$ is process noise, while $v_t$ is measurement noise.
Bayes' Rule is great for simulation and data-based

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---
id: 20260114153529
title: Random Number Generation
type: permanent
created: 2026-01-14T20:35:29Z
modified: 2026-01-14T20:46:35Z
tags: []
---
# Random Number Generation (RNG)
Random number generation is all about getting random
numbers, and is easily defined as picking a number from a
uniform distribution. Generally, there's two types:
## True RNG
True RNG is systems that are truly random. Random systems
are almost always derived from [[chaotic systems]], which
technically are deterministic, but as so final state
sensitive they're basically intractable and 'random' values
can be extracted. Sometimes lava lamps (turbulence) is used,
sometimes isotope decay is the thing.
## Pseudo RNG
Computers can't really do true RNG. They just can't handle
non-deterministic outcomes. In addition, true RNG is *slow*.
As such computers build PRNG.
>[!definition] Pseudo Random Number Generator
>
> $\text{Struct}(S, \mu, f, U, g)$
>
> Where:
> - $S$ is a finite set of states
> - $\mu$ is a distribution on S for the initial state (seed!)
> - $f:S \rightarrow S$, the state transition function
> - $U$ is the output space [0,1), or perhaps {0,...,m-1}
> - $g:S \rightarrow U$, the output function
>