Combinatorics matrix on counting strategies.
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"algebra/radices.md": "0fcd901c798eaed8075ff1375e2429dd",
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"algebra/radices.md": "0fcd901c798eaed8075ff1375e2429dd",
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"c17/strings.md": "bbe8983602adbeb38eff214beddedd84",
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"c17/strings.md": "bbe8983602adbeb38eff214beddedd84",
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"c17/index.md": "78576ee41d0185df82c59999142f4edb",
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@ -8,7 +8,7 @@ title: "2024-02-23"
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- [x] OGS (1 Life & Death Problem)
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- [x] OGS (1 Life & Death Problem)
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- [ ] Korean (Read 1 Story)
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- [ ] Korean (Read 1 Story)
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- [ ] Interview Prep (1 Practice Problem)
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- [ ] Interview Prep (1 Practice Problem)
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- [ ] Log Work Hours (Max 3 hours)
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- [x] Log Work Hours (Max 3 hours)
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* 101weiqi (serial numbers)
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* 101weiqi (serial numbers)
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* Q-28857
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* Q-28857
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* Q-10929
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* Q-10929
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* Q-10924
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* Q-10924
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* Q-9107
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* Q-9107
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* Read about extension and truncation of integral values using unsigned and two's-complement encoding.
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* Read through last sections of "Discrete Mathematics: An Open Introduction"'s first chapter.
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* I took a few little notes but I didn't pay as close attention to these sections as others.
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---
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---
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title: Combinatorics
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title: Combinatorics
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TARGET DECK: Obsidian::STEM
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FILE TAGS: combinatorics set
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tags:
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- combinatorics
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- set
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---
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---
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## Overview
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When selecting objects, we can use the given table to hint at what counting strategy we should use:
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Order | Repeats | Answer Shape | Reference
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----- | ------- | ------------------ | ---------
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Yes | Yes | $n^k$ | `-`
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Yes | No | $(n)_k$ | [[permutations#Falling Factorials]]
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No | Yes | $\binom{n + k}{k}$ | [[combinations#Stars and Bars]]
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No | No | $\binom{n}{k}$ | [[combinations]]
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%%ANKI
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Basic
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What does it mean for order to matter?
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Back: We get different outcomes if the same objects are selected in different orders.
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Reference: Oscar Levin, *Discrete Mathematics: An Open Introduction*, 3rd ed., n.d., [https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf](https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf).
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<!--ID: 1708715147778-->
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END%%
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%%ANKI
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Basic
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What does it mean for repeats to be allowed?
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Back: The same object can be selected multiple times.
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Reference: Oscar Levin, *Discrete Mathematics: An Open Introduction*, 3rd ed., n.d., [https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf](https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf).
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<!--ID: 1708715147781-->
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END%%
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%%ANKI
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Basic
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If order matters and repeats are allowed, the number of selections is usually formatted in what way?
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Back: $n^k$
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Reference: Oscar Levin, *Discrete Mathematics: An Open Introduction*, 3rd ed., n.d., [https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf](https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf).
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<!--ID: 1708715147783-->
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END%%
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%%ANKI
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Basic
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If order matters and repeats are disallowed, the number of selections is usually formatted in what way?
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Back: $(n)_k$ (falling factorial)
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Reference: Oscar Levin, *Discrete Mathematics: An Open Introduction*, 3rd ed., n.d., [https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf](https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf).
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<!--ID: 1708715147784-->
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END%%
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%%ANKI
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Basic
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If order does not matter and repeats are allowed, the number of selections is usually formatted in what way?
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Back: $\binom{n + k}{k}$ (stars and bars)
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Reference: Oscar Levin, *Discrete Mathematics: An Open Introduction*, 3rd ed., n.d., [https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf](https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf).
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<!--ID: 1708715147786-->
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END%%
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%%ANKI
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Basic
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If order does not matter and repeats are disallowed, the number of selections is usually formatted in what way?
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Back: $\binom{n}{k}$ (combinations)
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Reference: Oscar Levin, *Discrete Mathematics: An Open Introduction*, 3rd ed., n.d., [https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf](https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf).
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<!--ID: 1708715147787-->
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END%%
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## References
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* Oscar Levin, *Discrete Mathematics: An Open Introduction*, 3rd ed., n.d., [https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf](https://discrete.openmathbooks.org/pdfs/dmoi3-tablet.pdf).
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END%%
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END%%
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## Falling Factorials
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If we generalize to choosing $k \leq n$ elements of $k$ objects, we can calculate the $k$-permutation of $n$. This is denoted as $(n)_k$, sometimes called the **falling factorial**. $$(n)_k = \frac{n!}{(n - k)!}$$
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If we generalize to choosing $k \leq n$ elements of $k$ objects, we can calculate the $k$-permutation of $n$. This is denoted as $(n)_k$, sometimes called the **falling factorial**. $$(n)_k = \frac{n!}{(n - k)!}$$
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The derivation works by noting that we have $n - 0$ possible ways to pick the first object, $n - 1$ ways to pick the second, up until $n - (k - 1)$ ways to pick the last object.
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The derivation works by noting that we have $n - 0$ possible ways to pick the first object, $n - 1$ ways to pick the second, up until $n - (k - 1)$ ways to pick the last object.
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