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authorPreston Pan <preston@nullring.xyz>2024-02-05 22:22:16 -0800
committerPreston Pan <preston@nullring.xyz>2024-02-05 22:22:16 -0800
commita3fa907f7c0a23a32d64983087820231c68b3e82 (patch)
treeb9fa9b257c8d9d38d3518d4ec3fe00ebb291ae10 /mindmap/recursion.org
parented7a47c0f4a9ddba17f81e9232e5116bca518049 (diff)
edit some mindmaps
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-rw-r--r--mindmap/recursion.org94
1 files changed, 36 insertions, 58 deletions
diff --git a/mindmap/recursion.org b/mindmap/recursion.org
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--- a/mindmap/recursion.org
+++ b/mindmap/recursion.org
@@ -19,9 +19,9 @@ Self reference.
Yeah, but I think it's a good introduction to the subject. You can think of recursion
as [[id:42dbae12-827c-43c4-8dfc-a2cb1e835efa][self-assembly]] and it has deep connections to topics such as [[id:b005fb71-2a16-40f9-9bb6-29138f4719a2][emergence]]. I will first
describe it in a mathematics context, and then a programming context.
-For demonstration purposes, I will use [[id:5d2e2f3b-96ac-4196-9baf-4c3d6d349c98][python]].
+For demonstration purposes, I will use my own programming language, [[https://ret2pop.nullring.xyz/blog/stem.html][Stem]] (warning: link takes you outside of mindmap).
* [[id:a6bc601a-7910-44bb-afd5-dffa5bc869b1][Mathematics]] Describes Recursion
-For this example, I will be using the [[id:aed6b5dc-c2ec-4e8c-b793-538cd5d6e355][factorial]]. One might define it like so:
+For this example, I will be using the [[id:aed6b5dc-c2ec-4e8c-b793-538cd5d6e355][factorial]]. One might define it like so:
\begin{align*}
f: \mathbb{N}\rightarrow\mathbb{N}\ s.t. \\
f(0) = 1 \\
@@ -43,78 +43,56 @@ f(1) = 1f(0) = 1 \times 1 = 1 \\
f(2) = 2f(1) = 2 \times 1 = 2 \\
f(3) = 3f(2) = 3 \times 2 = 6
\end{align*}
-and so the result is multiplying $3 * 2 * 1 * 1 = 6$. If you observe what we did, you'll see that we started
+and so the result is multiplying $3 \times 2 \times 1 \times 1 = 6$. If you observe what we did, you'll see that we started
by trying to replace unknown variables by trying to evaluate $f(x)$ one number down, and eventually we reach
a "base case" -- zero. As soon as the "base case" occurs, we then "go back up" by replacing all the unknown
values with known ones -- and that's how we evaluate recursive functions.
-* Programming Describes Recursion
-Even if you don't understand programming, it should be clear that this represents the [[id:aed6b5dc-c2ec-4e8c-b793-538cd5d6e355][factorial]] [[id:b1f9aa55-5f1e-4865-8118-43e5e5dc7752][function]]:
-#+begin_src python :exports both
-def factorial(x):
- if x < 0:
- return None
- elif x == 0:
- return 1
- return x * factorial(x - 1)
-return factorial(5)
+* Programming Describe Recursion
+In stem, a factorial implementation might look like this:
+#+begin_src stem :exports both
+factorial [ dup 0 <= [ 1 + ] [ dup 1 - factorial * ] if ] def
+5 factorial .
#+end_src
#+RESULTS:
: 120
-
-And it also prints the result that we expect for the factorial of 5. Take note that just like in our mathematics
-example, ~factorial~ calls itself until it reaches a base case, ~x == 0~.
-** The stack frame
-We are now going to modify the code to be more transparent in the sense that it is going to print
-each factorial call out:
-#+begin_src python :results output :exports both
-def factorial(x):
- if x < 0:
- return None
- elif x == 0:
- print(1)
- return 1
- n = x * factorial(x - 1)
- print(n)
- return n
-factorial(5)
+and in stem, we can print out the stack every step of the way with the builtin word ~?~:
+#+begin_src stem :exports both
+factorial-debug [ dup 0 <= [ 1 + ] [ ? "\n" . dup 1 - factorial-debug dup . * ] if ] def
+5 factorial-debug .
#+end_src
#+RESULTS:
-: 1
-: 1
-: 2
-: 6
-: 24
-: 120
+#+begin_example
+5
-what is happening here? Why is it printing in the reverse order? Well, it is the /exact same phenomenon/
-as the "going back up" procedure we did before!
+5
+4
-You can model this behavior with a [[id:52d255d2-114c-42f4-b362-f0b4a2f7b83d][stack]], which is why it is called a stack frame. What's interesting is that
-the "going down until you reach the bottom and then building back up" procedure we did to solve $f(3)$ in the
-math section is actually modeled well by a stack. Just look at the far right hand side of all our equations in
-that example: we try but fail to evaluate $f(2)$, then $f(1)$, then $f(0)$. Then, we succeed in evaluating
-$f(0)$, which leads to being able to evaluate $f(1)$, which leads to being able to evaluate $f(2)$. This reverse
-ordering is exactly what we see by pushing a list of items onto a stack then removing them from one. Additionally,
-the second equation block from that section's right hand side is identical to the first few entries we see in the
-results block of this one, and you can see an exact mirroring of the first block in its evaluations of $f(n)$.
+5
+4
+3
-So, the "going down" procedure is the same thing as pushing values onto some sort of stack, and the "going back up"
-procedure is exactly the same as popping those values off a stack!
-** Stacks Describe Recursion
-To see more transparently how stacks relate to recursion, we use my programming language stem, which is a
-concatenative programming language, as a more transparent example.
-#+begin_src stem :exports both
-factorial [ dup 0 <= [ 1 + ] [ dup 1 - factorial * ] if ] def
-5 factorial .
-#+end_src
+5
+4
+3
+2
-#+RESULTS:
-: 120
+5
+4
+3
+2
+1
-* TODO Recursion Describes…?
+1
+1
+2
+6
+24
+120
+#+end_example
+* TODO Recursion Describes…?
* TODO Recursion is not Recursive
* TODO Recursion = [[id:1b1a8cff-1d20-4689-8466-ea88411007d7][duality]]?