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Zettelkasten/Fleeting Notes/Weekly/2026_03.md
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---
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id: 2026-03
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title: Weekly — 2026-01-14
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type: Weekly
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created: 2026-01-14T18:46:24Z
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modified: 2026-01-14T19:21:41Z
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tags: [weekly]
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---
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# Weekly - 2026 CW 03 (Wed 2026-01-14)
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## Accomplishments
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- Finished FRET tutorial I was working on. I've still got
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weird dependency things I need to figure out. Moving to a
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mac has caused some interesting quirks but I'm working them
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out.
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- Read Hybrid Automata: An Algorithmic Approach to
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Specification and Verification of Hybrid Systems
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- Did 2 interviews for chair search and read additional
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applicants stuff.
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- Bob asked me for help for ENGR 1933. I completed my RAMP
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training to get recertified.
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- Completed the review form.
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- Did maneuvering with Emerson to get them moving on an
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offer. INL sent me a formal offer letter.
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### Chair-Search
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- ✓ Read additional applican and provide scords
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- ✓ Read Clarks application and provide review scores
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- ✓ Read remaining two applicants and provide scores
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### Thesis
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- ✓ Do FRET tutorials
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## Pushed or Rescheduled
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### Thesis
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- The Algorithmic Analysis of Hybrid Systems (1995) — rescheduled
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- Hybrid Automata: An Algorithmic Approach to the Specification and Verification of Hybrid Systems (1993) — rescheduled
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- Hamilton-Jacobi Reachability: A Brief Overview and Recent Advances (2017) — rescheduled
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### Other
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- Investigate DICE conference — rescheduled
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## Cancelled or Deleted
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No tasks were cancelled or deleted this week.
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## To Do
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- Decide on an internship
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- Additional interviews this week
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- Review meeting is this week.
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- Re-outline research approach. Identify the holes
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- Plan out a prelim problem. Maybe a simple version of what
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HARDENS did. Just initiating scram?
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- Follow up with IT about what the hell is sending packets
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from the ARCADE puter.
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### Due This Week
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No tasks are due in the next 7 days.
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### High Priority
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**Thesis (reading)**
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- The Algorithmic Analysis of Hybrid Systems (1995) — Urgency: 17.8 (overdue by 5 days)
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- Hybrid Automata: An Algorithmic Approach to the Specification and Verification of Hybrid Systems (1993) — Urgency: 13.8 (overdue by 5 days)
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- Hamilton-Jacobi Reachability: A Brief Overview and Recent Advances (2017) — Urgency: 13.8 (overdue by 5 days)
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- Hybrid Systems: Review and Recent Progress (2003) — Urgency: 2.45
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- Multiple Lyapunov Functions and Other Analysis Tools for Switched and Hybrid Systems (1998) — Urgency: 2.45
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**Other**
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- Investigate DICE conference — Urgency: 15.8
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**ERLM (editing/writing)**
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- Add research tasks to research approach section — Urgency: 2.51
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**Zettelkasten**
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- AIGER Circuits — Urgency: 3.25
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- Reactive Synthesis — Urgency: 3.25
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- Write about opp. chall. and res. needs for remote micro ope. — Urgency: 3.22
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@ -3,7 +3,7 @@ id: 20260114132351
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title: Bayes' Theorem
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title: Bayes' Theorem
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type: permanent
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type: permanent
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created: 2026-01-14T18:23:51Z
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created: 2026-01-14T18:23:51Z
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modified: 2026-01-14T18:42:20Z
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modified: 2026-01-14T18:43:20Z
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tags: []
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tags: []
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---
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---
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@ -33,8 +33,9 @@ We can apply Bayes' Theorem to states in time too.
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$$ P(X_t|Y_t) = \frac{P(Y_t|X_t) P(X_t)}{P(Y_t)} $$
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$$ P(X_t|Y_t) = \frac{P(Y_t|X_t) P(X_t)}{P(Y_t)} $$
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where:
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where:
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- $ X_{t+1} = f(x_t, w_t) $
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- $X_{t+1} = f(x_t, w_t)$
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- $ Y_{t} = f(x_t) + v_t $
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- $Y_{t} = f(x_t) + v_t$
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$w_t$ is process noise, while $v_t$ is measurement noise.
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$w_t$ is process noise, while $v_t$ is measurement noise.
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Bayes' Rule is great for simulation and data-based
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Bayes' Rule is great for simulation and data-based
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@ -0,0 +1,39 @@
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---
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id: 20260114153529
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title: Random Number Generation
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type: permanent
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created: 2026-01-14T20:35:29Z
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modified: 2026-01-14T20:46:35Z
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tags: []
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---
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# Random Number Generation (RNG)
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Random number generation is all about getting random
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numbers, and is easily defined as picking a number from a
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uniform distribution. Generally, there's two types:
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## True RNG
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True RNG is systems that are truly random. Random systems
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are almost always derived from [[chaotic systems]], which
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technically are deterministic, but as so final state
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sensitive they're basically intractable and 'random' values
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can be extracted. Sometimes lava lamps (turbulence) is used,
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sometimes isotope decay is the thing.
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## Pseudo RNG
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Computers can't really do true RNG. They just can't handle
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non-deterministic outcomes. In addition, true RNG is *slow*.
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As such computers build PRNG.
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>[!definition] Pseudo Random Number Generator
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>
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> $\text{Struct}(S, \mu, f, U, g)$
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>
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> Where:
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> - $S$ is a finite set of states
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> - $\mu$ is a distribution on S for the initial state (seed!)
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> - $f:S \rightarrow S$, the state transition function
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> - $U$ is the output space [0,1), or perhaps {0,...,m-1}
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> - $g:S \rightarrow U$, the output function
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>
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