Add Advanced/Fast Inverse Root
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This commit is contained in:
Mark 2025-02-13 16:07:07 -08:00
commit fc5a1cbbaf
27 changed files with 26038 additions and 99 deletions

3
.gitignore vendored
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@ -3,6 +3,7 @@ venv
__pycache__
*.ignore
.mypy_cache
.DS_Store
# Output files
/output
@ -10,7 +11,7 @@ __pycache__
*.pdf
# TeX build files
*.synctex.gz*
*.synctex*
*.latexmk
*.aux
*.out

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@ -1,18 +1,3 @@
% Copyright (C) 2023 Mark (mark@betalupi.com)
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <https://www.gnu.org/licenses/>.
\NeedsTeXFormat{LaTeX2e}
\ProvidesClass{../../../lib/tex/ormc_handout}[2023/05/29 2.0.2 ORMC Handout]

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@ -44,6 +44,14 @@
by = text(size: 10pt, [Prepared by #by on #date])
}
let sub = ()
if (by != none) {
sub.push(by)
}
if (subtitle != none) {
sub.push(subtitle)
}
// Main title
align(
center,
@ -61,8 +69,7 @@
// Title
text(size: 20pt, title),
// Subtitle
if (by != none) { text(size: 10pt, by) },
if (subtitle != none) { text(size: 10pt, subtitle) },
..sub,
line(length: 100%, stroke: 0.2mm),
),
),

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@ -3,8 +3,14 @@
// Re-exports
// All functions that maybe used by client code are listed here
#import "misc.typ": *
#import "object.typ": problem, definition, theorem
#import "solution.typ": if_solutions, if_no_solutions, solution
#import "object.typ": problem, definition, theorem, example, remark, generic
#import "solution.typ": (
if_solutions,
if_no_solutions,
if_solutions_else,
solution,
instructornote,
)
/// Main handout wrapper.

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@ -98,3 +98,11 @@
#let theorem = _mkobj("Theorem")
#let example = _mkobj("Example")
#let remark = _mkobj("Remark")
#let generic(obj_content) = {
block(
above: 8mm,
below: 2mm,
text(weight: "bold", obj_content),
)
}

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@ -1,4 +1,4 @@
#import "misc.typ": ored
#import "misc.typ": ored, oblue
/// If false, hide instructor info.
///
@ -27,6 +27,10 @@
if not show_solutions { content }
}
#let if_solutions_else(if_yes, if_no) = {
if show_solutions { if_yes } else { if_no }
}
#let solution(content) = {
if_solutions(
align(
@ -54,3 +58,31 @@
),
)
}
#let instructornote(content) = {
if_solutions(
align(
center,
stack(
block(
width: 100%,
breakable: false,
fill: oblue,
stroke: oblue + 2pt,
inset: 1.5mm,
align(left, text(fill: white, weight: "bold", [Instructor note:])),
),
block(
width: 100%,
height: auto,
breakable: false,
fill: oblue.lighten(80%).desaturate(10%),
stroke: oblue + 2pt,
inset: 3mm,
align(left, content),
),
),
),
)
}

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@ -0,0 +1,31 @@
#import "@local/handout:0.1.0": *
// Bonus:
// - Floats vs fixed point
// - Float density
// - Find non-floatable rational numbers
// - What if we use `n`-bit floats?
#show: doc => handout(
doc,
group: "Advanced 2",
title: [Fast Inverse Square Root],
by: "Mark",
)
#include "parts/00 intro.typ"
#pagebreak()
#include "parts/01 int.typ"
#pagebreak()
#include "parts/02 float.typ"
#pagebreak()
#include "parts/03 approx.typ"
#pagebreak()
#include "parts/04 quake.typ"
#pagebreak()
#include "parts/05 bonus.typ"

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@ -0,0 +1,7 @@
[metadata]
title = "Fast Inverse Square Root"
[publish]
handout = true
solutions = true

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@ -0,0 +1,45 @@
#import "@local/handout:0.1.0": *
= Introduction
In 2005, ID Software published the source code of _Quake III Arena_, a popular game released in 1999. \
This caused quite a stir: ID Software was responsible for many games popular among old-school engineers (most notably _Doom_, which has a place in programmer humor even today).
#v(2mm)
Naturally, this community immediately began dissecting _Quake_'s source. \
One particularly interesting function is reproduced below, with original comments: \
#v(3mm)
```c
float Q_rsqrt( float number ) {
long i;
float x2, y;
const float threehalfs = 1.5F;
x2 = number * 0.5F;
y = number;
i = * ( long * ) &y; // evil floating point bit level hacking
i = 0x5f3759df - ( i >> 1 ); // [redacted]
y = * ( float * ) &i;
y = y * ( threehalfs - ( x2 * y * y ) ); // 1st iteration
// y = y * ( threehalfs - ( x2 * y * y ) ); // 2nd iteration, this can be removed
return y;
}
```
#v(3mm)
This code defines a function `Q_sqrt`, which was used as a fast approximation of the inverse square root in graphics routines. (in other words, `Q_sqrt` efficiently approximates $1 div sqrt(x)$)
#v(3mm)
The key word here is "fast": _Quake_ ran on very limited hardware, and traditional approximation techniques (like Taylor series)#footnote[Taylor series aren't used today, and for the same reason. There are better ways.] were too computationally expensive to be viable.
#v(3mm)
Our goal today is to understand how `Q_sqrt` works. \
To do that, we'll first need to understand how computers represent numbers. \
We'll start with simple binary integers---turn the page.

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@ -0,0 +1,102 @@
#import "@local/handout:0.1.0": *
= Integers
#definition()
A _bit string_ is a string of binary digits. \
In this handout, we'll denote bit strings with the prefix `0b`. \
#note[This prefix is only notation---it is _not_ part of the string itself.] \
For example, $1001$ is the number "one thousand and one," while $#text([`0b1001`])$ is the string of bits "1 0 0 1".
#v(2mm)
We will separate long bit strings with underscores for readability. \
Underscores have no meaning: $#text([`0b1111_0000`]) = #text([`0b11110000`])$.
#problem()
What is the value of the following bit strings, if we interpret them as integers in base 2?
- `0b0001_1010`
- `0b0110_0001`
#solution([
- $#text([`0b0001_1010`]) = 2 + 8 + 16 = 26$
- $#text([`0b0110_0001`]) = 1 + 32 + 64 = 95$
])
#v(1fr)
#definition()
We can interpret a bit string in any number of ways. \
One such interpretation is the _unsigned integer_, or `uint` for short. \
`uint`s allow us to represent positive (hence "unsigned") integers using 32-bit strings.
#v(2mm)
The value of a `uint` is simply its value as a binary number:
- $#text([`0b00000000_00000000_00000000_00000000`]) = 0$
- $#text([`0b00000000_00000000_00000000_00000011`]) = 3$
- $#text([`0b00000000_00000000_00000000_00100000`]) = 32$
- $#text([`0b00000000_00000000_00000000_10000010`]) = 130$
#problem()
What is the largest number we can represent with a 32-bit `uint`?
#solution([
$#text([`0b11111111_11111111_11111111_11111111`]) = 2^(32)-1$
])
#v(1fr)
#pagebreak()
#problem()
Find the value of each of the following 32-bit unsigned integers:
- `0b00000000_00000000_00000101_00111001`
- `0b00000000_00000000_00000001_00101100`
- `0b00000000_00000000_00000100_10110000`
#hint([The third conversion is easy---look carefully at the second.])
#instructornote[
Consider making a list of the powers of two $>= 1024$ on the board.
]
#solution([
- $#text([`0b00000000_00000000_00000101_00111001`]) = 1337$
- $#text([`0b00000000_00000000_00000001_00101100`]) = 300$
- $#text([`0b00000000_00000000_00000010_01011000`]) = 1200$
Notice that the third int is the second shifted left twice (i.e, multiplied by 4)
])
#v(1fr)
#definition()
In general, fast division of `uints` is difficult#footnote([One may use repeated subtraction, but this isn't efficient.]). \
Division by powers of two, however, is incredibly easy: \
To divide by two, all we need to do is shift the bits of our integer right.
#v(2mm)
For example, consider $#text[`0b0000_0110`] = 6$. \
If we insert a zero at the left end of this string and delete the zero at the right \
(thus "shifting" each bit right), we get `0b0000_0011`, which is 3. \
#v(2mm)
Of course, we lose the remainder when we right-shift an odd number: \
$9$ shifted right is $4$, since `0b0000_1001` shifted right is `0b0000_0100`.
#problem()
Right shifts are denoted by the `>>` symbol: \
$#text[`00110`] #text[`>>`] n$ means "shift `0b0110` right $n$ times." \
Find the value of the following:
- $12 #text[`>>`] 1$
- $27 #text[`>>`] 3$
- $16 #text[`>>`] 8$
#note[Naturally, you'll have to convert these integers to binary first.]
#solution[
- $12 #text[`>>`] 1 = 6$
- $27 #text[`>>`] 3 = 3$
- $16 #text[`>>`] 8 = 0$
]
#v(1fr)

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@ -0,0 +1,207 @@
#import "@local/handout:0.1.0": *
#import "@preview/cetz:0.3.1"
= Floats
#definition()
_Binary decimals_#footnote([Note that "binary decimal" is a misnomer---"deci" means "ten"!]) are very similar to base-10 decimals.\
In base 10, we interpret place value as follows:
- $0.1 = 10^(-1)$
- $0.03 = 3 times 10^(-2)$
- $0.0208 = 2 times 10^(-2) + 8 times 10^(-4)$
#v(5mm)
We can do the same in base 2:
- $#text([`0.1`]) = 2^(-1) = 0.5$
- $#text([`0.011`]) = 2^(-2) + 2^(-3) = 0.375$
- $#text([`101.01`]) = 5.125$
#v(5mm)
#problem()
Rewrite the following binary decimals in base 10: \
#note([You may leave your answer as a fraction.])
- `1011.101`
- `110.1101`
#v(1fr)
#pagebreak()
#definition()
Another way we can interpret a bit string is as a _signed floating-point decimal_, or a `float` for short. \
Floats represent a subset of the real numbers, and are interpreted as follows: \
#note([The following only applies to floats that consist of 32 bits. We won't encounter any others today.])
#align(
center,
box(
inset: 2mm,
cetz.canvas({
import cetz.draw: *
let chars = (
`0`,
`b`,
`0`,
`_`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`_`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`_`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`_`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
`0`,
)
let x = 0
for c in chars {
content((x, 0), c)
x += 0.25
}
let y = -0.4
line((0.3, y), (0.65, y))
content((0.45, y - 0.2), [s])
line((0.85, y), (2.9, y))
content((1.9, y - 0.2), [exponent])
line((3.10, y), (9.4, y))
content((6.3, y - 0.2), [fraction])
}),
),
)
- The first bit denotes the sign of the float's value
We'll label it $s$. \
If $s = #text([`1`])$, this float is negative; if $s = #text([`0`])$, it is positive.
- The next eight bits represent the _exponent_ of this float.
#note([(we'll see what that means soon)]) \
We'll call the value of this eight-bit binary integer $E$. \
Naturally, $0 <= E <= 255$ #note([(since $E$ consist of eight bits)])
- The remaining 23 bits represent the _fraction_ of this float. \
They are interpreted as the fractional part of a binary decimal. \
For example, the bits `0b10100000_00000000_00000000` represent $0.5 + 0.125 = 0.625$. \
We'll call the value of these bits as a binary integer $F$. \
Their value as a binary decimal is then $F div 2^23$. #note([(convince yourself of this)])
#problem(label: "floata")
Consider `0b01000001_10101000_00000000_00000000`. \
Find the $s$, $E$, and $F$ we get if we interpret this bit string as a `float`. \
#note([Leave $F$ as a sum of powers of two.])
#solution([
$s = 0$ \
$E = 258$ \
$F = 2^31+2^19 = 2,621,440$
])
#v(1fr)
#definition(label: "floatdef")
The final value of a float with sign $s$, exponent $E$, and fraction $F$ is
$
(-1)^s times 2^(E - 127) times (1 + F / (2^(23)))
$
Notice that this is very similar to base-10 scientific notation, which is written as
$
(-1)^s times 10^(e) times (f)
$
#note[
We subtract 127 from $E$ so we can represent positive and negative numbers. \
$E$ is an eight bit binary integer, so $0 <= E <= 255$ and thus $-127 <= (E - 127) <= 127$.
]
#problem()
Consider `0b01000001_10101000_00000000_00000000`. \
This is the same bit string we used in @floata. \
#v(2mm)
What value do we get if we interpret this bit string as a float? \
#hint([$21 div 16 = 1.3125$])
#solution([
This is 21:
$
2^(131) times (1 + (2^(21) + 2^(19)) / (2^(23)))
= 2^(4) times (1 + 0.25 + 0.0625)
= 16 times (1.3125)
= 21
$
])
#v(1fr)
#pagebreak()
#problem()
Encode $12.5$ as a float. \
#hint([$12.5 div 8 = 1.5625$])
#solution([
$
12.5
= 8 times 1.5625
= 2^(3) times (1 + (0.5 + 0.0625))
= 2^(130) times (1 + (2^(22) + 2^(19)) / (2^(23)))
$
which is `0b01000001_01001000_00000000_00000000`. \
])
#v(1fr)
#definition()
Say we have a bit string $x$. \
We'll let $x_f$ denote the value we get if we interpret $x$ as a float, \
and we'll let $x_i$ denote the value we get if we interpret $x$ an integer.
#problem()
Let $x = #text[`0b01000001_01001000_00000000_00000000`]$. \
What are $x_f$ and $x_i$? #note([As always, you may leave big numbers as powers of two.])
#solution([
$x_f = 12.5$
#v(2mm)
$x_i = 2^30 + 2^24 + 2^22 + 2^19 = 11,095,237,632$
])
#v(1fr)

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@ -0,0 +1,173 @@
#import "@local/handout:0.1.0": *
#import "@preview/cetz:0.3.1"
#import "@preview/cetz-plot:0.1.0": plot, chart
= Integers and Floats
#generic("Observation:")
If $x$ is smaller than 1, $log_2(1 + x)$ is approximately equal to $x$. \
Note that this equality is exact for $x = 0$ and $x = 1$, since $log_2(1) = 0$ and $log_2(2) = 1$.
#v(5mm)
We'll add the _correction term_ $epsilon$ to our approximation: $log_2(1 + a) approx a + epsilon$. \
This allows us to improve the average error of our linear approximation:
#table(
stroke: none,
align: center,
columns: (1fr, 1fr),
inset: 5mm,
[$log_2(1+x)$ and $x + 0$]
+ cetz.canvas({
import cetz.draw: *
let f1(x) = calc.log(calc.abs(x + 1), base: 2)
let f2(x) = x
// Set-up a thin axis style
set-style(axes: (stroke: .5pt, tick: (stroke: .5pt)))
plot.plot(
size: (7, 7),
x-tick-step: 0.2,
y-tick-step: 0.2,
y-min: 0,
y-max: 1,
x-min: 0,
x-max: 1,
legend: none,
axis-style: "scientific-auto",
x-label: none,
y-label: none,
{
let domain = (0, 1)
plot.add(
f1,
domain: domain,
label: $log(1+x)$,
style: (stroke: ogrape),
)
plot.add(
f2,
domain: domain,
label: $x$,
style: (stroke: oblue),
)
},
)
})
+ [
Max error: 0.086 \
Average error: 0.0573
],
[$log_2(1+x)$ and $x + 0.045$]
+ cetz.canvas({
import cetz.draw: *
let f1(x) = calc.log(calc.abs(x + 1), base: 2)
let f2(x) = x + 0.0450466
// Set-up a thin axis style
set-style(axes: (stroke: .5pt, tick: (stroke: .5pt)))
plot.plot(
size: (7, 7),
x-tick-step: 0.2,
y-tick-step: 0.2,
y-min: 0,
y-max: 1,
x-min: 0,
x-max: 1,
legend: none,
axis-style: "scientific-auto",
x-label: none,
y-label: none,
{
let domain = (0, 1)
plot.add(
f1,
domain: domain,
label: $log(1+x)$,
style: (stroke: ogrape),
)
plot.add(
f2,
domain: domain,
label: $x$,
style: (stroke: oblue),
)
},
)
})
+ [
Max error: 0.041 \
Average error: 0.0254
],
)
A suitiable value of $epsilon$ can be found using calculus or with computational trial-and-error. \
We won't bother with this---we'll simply leave the correction term as an opaque constant $epsilon$.
#v(1fr)
#note(
type: "Note",
[
"Average error" above is simply the area of the region between the two graphs:
$
integral_0^1 abs( #v(1mm) log(1+x)_2 - (x+epsilon) #v(1mm))
$
Feel free to ignore this note, it isn't a critical part of this handout.
],
)
#pagebreak()
#problem(label: "convert")
Use the fact that $log_2(1 + a) approx a + epsilon$ to approximate $log_2(x_f)$ in terms of $x_i$. \
Namely, show that
$
log_2(x_f) = (x_i) / (2^23) - 127 + epsilon
$
#note([
In other words, we're finding an expression for $x$ as a float
in terms of $x$ as an int.
])
#solution([
Let $E$ and $F$ be the exponent and float bits of $x_f$. \
We then have:
$
log_2(x_f)
&= log_2 ( 2^(E-127) times (1 + (F) / (2^23)) ) \
&= E - 127 + log_2(1 + F / (2^23)) \
& approx E-127 + F / (2^23) + epsilon \
&= 1 / (2^23)(2^23 E + F) - 127 + epsilon \
&= 1 / (2^23)(x_i) - 127 + epsilon
$
])
#v(1fr)
#problem()
Using basic log rules, rewrite $log_2(1 / sqrt(x))$ in terms of $log_2(x)$.
#solution([
$
log_2(1 / sqrt(x)) = (-1) / (2)log_2(x)
$
])
#v(1fr)

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@ -0,0 +1,210 @@
#import "@local/handout:0.1.0": *
= The Fast Inverse Square Root
A simplified version of the _Quake_ routine we are studying is reproduced below.
#v(2mm)
```c
float Q_rsqrt( float number ) {
long i = * ( long * ) &number;
i = 0x5f3759df - ( i >> 1 );
return * ( float * ) &i;
}
```
#v(2mm)
This code defines a function `Q_rsqrt` that consumes a float `number` and approximates its inverse square root.
If we rewrite this using notation we're familiar with, we get the following:
$
#text[`Q_sqrt`] (n_f) =
6240089 - (n_i div 2)
#h(10mm)
approx 1 / sqrt(n_f)
$
#note[
`0x5f3759df` is $6240089$ in hexadecimal. \
Ask an instructor to explain if you don't know what this means. \
It is a magic number hard-coded into `Q_sqrt`.
]
#v(2mm)
Our goal in this section is to understand why this works:
- How does Quake approximate $1 / sqrt(x)$ by simply subtracting and dividing by two?
- What's special about $6240089$?
#v(1fr)
#remark()
For those that are interested, here are the details of the "code-to-math" translation:
- "`long i = * (long *) &number`" is C magic that tells the compiler \
to set `i` to the `uint` value of the bits of `number`. \
#note[
"long" refers to a "long integer", which has 32 bits. \
Normal `int`s have 16 bits, `short int`s have 8.
] \
In other words, `number` is $n_f$ and `i` is $n_i$.
#v(2mm)
- Notice the right-shift in the second line of the function. \
We translated `(i >> 1)` into $(n_i div 2)$.
#v(2mm)
- "`return * (float *) &i`" is again C magic. \
Much like before, it tells us to return the value of the bits of `i` as a float.
#pagebreak()
#generic("Setup:")
We are now ready to show that $#text[`Q_sqrt`] (x)$ effectively approximates $1/sqrt(x)$. \
For convenience, let's call the bit string of the inverse square root $r$. \
In other words,
$
r_f := 1 / (sqrt(n_f))
$
This is the value we want to approximate. \
#problem(label: "finala")
Find an approximation for $log_2(r_f)$ in terms of $n_i$ and $epsilon$ \
#note[Remember, $epsilon$ is the correction constant in our approximation of $log_2(1 + x)$.]
#solution[
$
log_2(r_f)
= log_2(1 / sqrt(n_f))
= (-1) / 2 log_2(n_f)
approx (-1) / 2 ( (n_i) / (2^23) + epsilon - 127 )
$
]
#v(1fr)
#problem(label: "finalb")
Let's call the "magic number" in the code above $kappa$, so that
$
#text[`Q_sqrt`] (n_f) = kappa - (n_i div 2)
$
Use @convert and @finala to show that $#text[`Q_sqrt`] (n_f) approx r_i$ \
#note(type: "Note")[
If we know $r_i$, we know $r_f$. \
We don't even need to convert between the two---the underlying bits are the same!
]
#solution[
From @convert, we know that
$
log_2(r_f) approx (r_i) / (2^23) + epsilon - 127
$
Combining this with the result from @finala, we get:
$
(r_i) / (2^23) + epsilon - 127
&approx (-1) / (2) ( (n_i) / (2^23) + epsilon - 127) \
(r_i) / (2^23)
&approx (-1) / (2) ( (n_i) / (2^23)) + 3 / 2 (127 - epsilon) \
r_i
&approx (-1) / 2 (n_i) + 2^23 3 / 2(127 - epsilon)
= 2^23 3 / 2 (127 - epsilon) - (n_i) / 2
$
#v(2mm)
This is exactly what we need! If we set $kappa$ to $(3 times 2^22) (127-epsilon)$, then
$
r_i approx kappa - (n_i div 2) = #text[`Q_sqrt`] (n_f)
$
]
#v(1fr)
#problem(label: "finalc")
What is the exact value of $kappa$ in terms of $epsilon$? \
#hint[Look at @finalb. We already found it!]
#solution[
This problem makes sure our students see that
$kappa = (3 times 2^22) (127 - epsilon)$. \
See the solution to @finalb.
]
#v(2cm)
#pagebreak()
#remark()
In @finalc we saw that $kappa = (3 times 2^22) (127 - epsilon)$. \
Looking at the code again, we see that $kappa = #text[`0x5f3759df`]$ in _Quake_:
#v(2mm)
```c
float Q_rsqrt( float number ) {
long i = * ( long * ) &number;
i = 0x5f3759df - ( i >> 1 );
return * ( float * ) &i;
}
```
#v(2mm)
Using a calculator and some basic algebra, we can find the $epsilon$ this code uses: \
#note[Remember, #text[`0x5f3759df`] is $6240089$ in hexadecimal.]
$
(3 times 2^22) (127 - epsilon) &= 6240089 \
(127 - epsilon) &= 126.955 \
epsilon &= 0.0450466
$
So, $0.045$ is the $epsilon$ used by Quake. \
Online sources state that this constant was generated by trial-and-error, \
though it is fairly close to the ideal $epsilon$.
#remark()
And now, we're done! \
We've shown that `Q_sqrt(x)` approximates $1/sqrt(x)$ fairly well. \
#v(2mm)
Notably, `Q_sqrt` uses _zero_ divisions or multiplications (`>>` doesn't count). \
This makes it _very_ fast when compared to more traditional approximation techniques (i.e, Taylor series).
#v(2mm)
In the case of _Quake_, this is very important. 3D graphics require thousands of inverse-square-root calculations to render a single frame#footnote[e.g, to generate normal vectors], which is not an easy task for a Playstation running at 300MHz.
#instructornote[
Let $x$ be a bit string. If we assume $x_f$ is positive and $E$ is even, then
$
(x #text[`>>`] 1)_f = 2^((E div 2) - 127) times (1 + (F div 2) / (2^(23)))
$
Notably: a right-shift divides the exponent of $x_f$ by two, \
which is, of course, a square root!
#v(2mm)
This intuition is hand-wavy, though: \
If $E$ is odd, its lowest-order bit becomes the highest-order bit of $F$ when we shift $x$ right. \
Also, a right shift doesn't divide the _entire_ exponent, skipping the $-127$ offset. \
#v(2mm)
Remarkably, this intuition is still somewhat correct. \
The bits align _just so_, and our approximation still works.
#v(8mm)
One can think of the fast inverse root as a "digital slide rule": \
The integer representation of $x_f$ already contains $log_2(x_f)$, offset and scaled. \
By subtracting and dividing in "log space", we effectively invert and root $x_f$!
After all,
$
- 1 / 2 log_2(n_f) = 1 / sqrt(n_f)
$
]

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#import "@local/handout:0.1.0": *
= Bonus -- More about Floats
#problem()
Convince yourself that all numbers that can be represented as a float are rational.
#problem()
Find a rational number that cannot be represented as a float.
#v(1fr)
#problem()
What is the smallest positive 32-bit float?
#v(1fr)
#problem()
What is the largest positive 32-bit float?
#v(1fr)
#problem()
How many floats are between $-1$ and $1$?
#v(1fr)
#problem()
How many floats are between $1$ and $2$?
#v(1fr)
#problem()
How many floats are between $1$ and $128$?
#v(1fr)

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@ -1,18 +1,3 @@
% Copyright (C) 2023 <Mark (mark@betalupi.com)>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% You may have received a copy of the GNU General Public License
% along with this program. If not, see <https://www.gnu.org/licenses/>.
%
%
%
% If you edit this, please give credit!
% Quality handouts take time to make.
% use the [nosolutions] flag to hide solutions,
% use the [solutions] flag to show solutions.
\documentclass[

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% Copyright (C) 2023 <Mark (mark@betalupi.com)>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% You may have received a copy of the GNU General Public License
% along with this program. If not, see <https://www.gnu.org/licenses/>.
%
%
%
% If you edit this, please give credit!
% Quality handouts take time to make.
% use [nosolutions] flag to hide solutions.
% use [solutions] flag to show solutions.
\documentclass[

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% Copyright (C) 2023 <Mark (mark@betalupi.com)>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% You may have received a copy of the GNU General Public License
% along with this program. If not, see <https://www.gnu.org/licenses/>.
%
%
%
% If you edit this, please give credit!
% Quality handouts take time to make.
\section{Dual Numbers}
\definition{}

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% Copyright (C) 2023 <Mark (mark@betalupi.com)>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% You may have received a copy of the GNU General Public License
% along with this program. If not, see <https://www.gnu.org/licenses/>.
%
%
%
% If you edit this, please give credit!
% Quality handouts take time to make.
\section{Extensions of $\mathbb{R}$}
\definition{}

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% Copyright (C) 2023 <Mark (mark@betalupi.com)>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% You may have received a copy of the GNU General Public License
% along with this program. If not, see <https://www.gnu.org/licenses/>.
%
%
%
% If you edit this, please give credit!
% Quality handouts take time to make.
\section*{The supremum \& the infimum}
\definition{}

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% use [nosolutions] flag to hide solutions.
% use [solutions] flag to show solutions.
\documentclass[
solutions,
shortwarning
]{../../../lib/tex/ormc_handout}
\usepackage{../../../lib/tex/macros}
\usepackage{pdfpages}
\usepackage{sliderule}
\usepackage{changepage}
% Args:
% x, top scale y, label
\newcommand{\slideruleind}[3]{
\draw[
line width=1mm,
draw=black,
opacity=0.3,
text opacity=1
]
({#1}, {#2 + 1})
--
({#1}, {#2 - 1.1})
node [below] {#3};
}
\uptitlel{Advanced}
\uptitler{\smallurl{}}
\title{Warm-Up: Slide Rules}
\subtitle{Prepared by Mark on \today}
\begin{document}
\maketitle
\begin{center}
\begin{minipage}{6cm}
Dad says that anyone who can't use
a slide rule is a cultural illiterate
and should not be allowed to vote.
\vspace{1ex}
\textit{Have Space Suit --- Will Travel, 1958}
\end{minipage}
\end{center}
\hfill
\input{parts/0 logarithms.tex}
\input{parts/1 intro.tex}
\input{parts/2 multiplication.tex}
% Make sure the slide rule is on an odd page,
% so that double-sided printing won't require
% students to tear off problems.
\checkoddpage
\ifoddpage\else
\vspace*{\fill}
\begin{center}
{
\Large
\textbf{This page unintentionally left blank.}
}
\end{center}
\vspace{\fill}
\pagebreak
\fi
\includepdf[
pages=1,
fitpaper=true
]{resources/rule.pdf}
\end{document}

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@ -0,0 +1,6 @@
[metadata]
title = "Slide Rules"
[publish]
handout = false
solutions = true

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\section{Logarithms}
\definition{}<logdef>
The \textit{logarithm} is the inverse of the exponent. That is, if $b^p = c$, then $\log_b{c} = p$. \\
In other words, $\log_b{c}$ asks the question ``what power do I need to raise $b$ to to get $c$?'' \\
\problem{}
Evaluate the following by hand:
\begin{enumerate}
\item $\log_{10}{(1000)}$
\vfill
\item $\log_2{(64)}$
\vfill
\item $\log_2{(\frac{1}{4})}$
\vfill
\item $\log_x{(x)}$ for any $x$
\vfill
\item $log_x{(1)}$ for any $x$
\vfill
\end{enumerate}
\problem{}<logids>
Prove the following:
\begin{enumerate}[itemsep=2mm]
\item $\log_b{(b^x)} = x$
\vfill
\item $b^{\log_b{x}} = x$
\vfill
\item $\log_b{(xy)} = \log_b{(x)} + \log_b{(y)}$
\vfill
\item $\log_b{(\frac{x}{y})} = \log_b{(x)} - \log_b{(y)}$
\vfill
\item $\log_b{(x^y)} = y \log_b{(x)}$
\vfill
\end{enumerate}
\begin{instructornote}
A good intro to the following sections is the linear slide rule:
\note{(note that these rules start at 0)}
\begin{center}
\begin{tikzpicture}[scale=0.5]
\linearscale{2}{1}{}
\linearscale{0}{0}{}
\slideruleind
{5}
{1}
{2 + 3 = 5}
\end{tikzpicture}
\end{center}
Take two linear rules, offset one, and you add.
Do the same with a log scale, and you multiply! \\
\linehack{}
After assembling the paper slide rule, you can make a visor with some transparent tape.
\end{instructornote}
\pagebreak

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\section{Introduction}
Mathematicians, physicists, and engineers needed to quickly compute products long before computers conquered the world.
\medskip
The \textit{slide rule} is an instrument that uses the logarithm to solve this problem. Before you continue, cut out and assemble your slide rule.
\medskip
There are four scales on your slide rule, each labeled with a letter on the left side:
\def\sliderulewidth{13}
\begin{center}
\begin{tikzpicture}[scale=1]
\tscale{0}{9}{T}
\kscale{0}{8}{K}
\abscale{0}{7}{A}
\abscale{0}{5.5}{B}
\ciscale{0}{4.5}{CI}
\cdscale{0}{3.5}{C}
\cdscale{0}{2}{D}
\lscale{0}{1}{L}
\sscale{0}{0}{S}
\end{tikzpicture}
\end{center}
Each scale's ``generating function'' is on the right:
\begin{itemize}
\item T: $\tan$
\item K: $x^3$
\item A,B: $x^2$
\item CI: $\frac{1}{x}$
\item C, D: $x$
\item L: $\log_{10}(x)$
\item S: $\sin$
\end{itemize}
Once you understand the layout of your slide rule, move on to the next page.
\pagebreak

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\section{Multiplication}
We'll use the C and D scales of your slide rule to multiply. \\
Say we want to multiply $2 \times 3$. First, move the \textit{left-hand index} of the C scale over the smaller number, $2$:
\def\sliderulewidth{10}
\begin{center}
\begin{tikzpicture}[scale=1]
\cdscale{\cdscalefn(2)}{1}{C}
\cdscale{0}{0}{D}
\end{tikzpicture}
\end{center}
Then we'll find the second number, $3$ on the C scale, and read the D scale under it:
\begin{center}
\begin{tikzpicture}[scale=1]
\cdscale{\cdscalefn(2)}{1}{C}
\cdscale{0}{0}{D}
\slideruleind
{\cdscalefn(6)}
{1}
{6}
\end{tikzpicture}
\end{center}
Of course, our answer is 6.
\problem{}
What is $1.15 \times 2.1$? \\
Use your slide rule.
\begin{solution}
\begin{center}
\begin{tikzpicture}[scale=1]
\cdscale{\cdscalefn(1.15)}{1}{C}
\cdscale{0}{0}{D}
\slideruleind
{\cdscalefn(1.15)}
{1}
{1.15}
\slideruleind
{\cdscalefn(1.15) + \cdscalefn(2.1)}
{1}
{2.415}
\end{tikzpicture}
\end{center}
\end{solution}
\vfill
Note that your answer isn't exact. $1.15 \times 2.1 = 2.415$, but an answer accurate within two decimal places is close enough for most practical applications. \\
\pagebreak
Look at your C and D scales again. They contain every number between 1 and 10, but no more than that.
What should we do if we want to calculate $32 \times 210$? \\
\problem{}
Using your slide rule, calculate $32 \times 210$. \\
%\hint{$32 = 3.2 \times 10^1$}
\begin{solution}
\begin{center}
\begin{tikzpicture}[scale=1]
\cdscale{\cdscalefn(2.1)}{1}{C}
\cdscale{0}{0}{D}
\slideruleind
{\cdscalefn(2.1)}
{1}
{2.1}
\slideruleind
{\cdscalefn(2.1) + \cdscalefn(3.2)}
{1}
{6.72}
\end{tikzpicture}
\end{center}
Placing the decimal point correctly is your job. \\
$10^1 \times 10^2 = 10^3$, so our final answer is $6.72 \times 10^3 = 672$.
\end{solution}
\vfill
%This method of writing numbers is called \textit{scientific notation}. In the form $a \times 10^b$, $a$ is called the \textit{mantissa}, and $b$, the \textit{exponent}. \\
%You may also see expressions like $4.3\text{e}2$. This is equivalent to $4.3 \times 10^2$, but is more compact.
\problem{}
Compute the following:
\begin{enumerate}
\item $1.44 \times 52$
\item $0.38 \times 1.24$
\item $\pi \times 2.35$
\end{enumerate}
\begin{solution}
\begin{enumerate}
\item $1.44 \times 52 = 74.88$
\item $0.38 \times 1.24 = 0.4712$
\item $\pi \times 2.35 = 7.382$
\end{enumerate}
\end{solution}
\vfill
\pagebreak
\problem{}<provemult>
Note that the numbers on your C and D scales are logarithmically spaced.
\def\sliderulewidth{13}
\begin{center}
\begin{tikzpicture}[scale=1]
\cdscale{0}{1}{C}
\cdscale{0}{0}{D}
\end{tikzpicture}
\end{center}
Why does our multiplication procedure work? \\
%\hint{See \ref{logids}}
\vfill
\pagebreak
Now we want to compute $7.2 \times 5.5$:
\def\sliderulewidth{10}
\begin{center}
\begin{tikzpicture}[scale=0.8]
\cdscale{\cdscalefn(5.5)}{1}{C}
\cdscale{0}{0}{D}
\slideruleind
{\cdscalefn(5.5)}
{1}
{5.5}
\slideruleind
{\cdscalefn(5.5) + \cdscalefn(7.2)}
{1}
{???}
\end{tikzpicture}
\end{center}
No matter what order we go in, the answer ends up off the scale. There must be another way. \\
\medskip
Look at the far right of your C scale. There's an arrow pointing to the $10$ tick, labeled \textit{right-hand index}. Move it over the \textit{larger} number, $7.2$:
\begin{center}
\begin{tikzpicture}[scale=1]
\cdscale{\cdscalefn(7.2) - \cdscalefn(10)}{1}{C}
\cdscale{0}{0}{D}
\slideruleind
{\cdscalefn(7.2)}
{1}
{7.2}
\end{tikzpicture}
\end{center}
Now find the smaller number, $5.5$, on the C scale, and read the D scale under it:
\begin{center}
\begin{tikzpicture}[scale=1]
\cdscale{\cdscalefn(7.2) - \cdscalefn(10)}{1}{C}
\cdscale{0}{0}{D}
\slideruleind
{\cdscalefn(7.2)}
{1}
{7.2}
\slideruleind
{\cdscalefn(3.96)}
{1}
{3.96}
\end{tikzpicture}
\end{center}
Our answer should be about $7 \times 5 = 35$, so let's move the decimal point: $5.5 \times 7.2 = 39.6$. We can do this by hand to verify our answer. \\
\medskip
\problem{}
Why does this work? \par
\hint{Add a second $D$ scale.}
\begin{solution}
Consider the following picture, where I've put two D scales next to each other:
\begin{center}
\begin{tikzpicture}[scale=0.7]
\cdscale{\cdscalefn(7.2) - \cdscalefn(10)}{1}{C}
\cdscale{0}{0}{}
\cdscale{-10}{0}{}
\draw[
draw=black,
]
(0, 0)
--
(0, -0.3)
node [below] {D};
\draw[
draw=black,
]
(-10, 0)
--
(-10, -0.3)
node [below] {D};
\slideruleind
{-10 + \cdscalefn(7.2)}
{1}
{7.2}
\slideruleind
{\cdscalefn(7.2)}
{1}
{7.2}
\slideruleind
{\cdscalefn(3.96)}
{1}
{3.96}
\end{tikzpicture}
\end{center}
\medskip
The second D scale has been moved to the right by $(\log{10})$, so every value on it is $(\log{10})$ smaller than it should be.
\medskip
\medskip
In other words, the answer we get from reverse multiplication is the following: $\log{a} + \log{b} - \log{10}$. \\
This reduces to $\log{(\frac{a \times b}{10})}$, which explains the misplaced decimal point in $7.2 \times 5.5$.
\end{solution}
\vfill
\pagebreak
\problem{}
Compute the following using your slide rule:
\begin{enumerate}
\item $9 \times 8$
\item $15 \times 35$
\item $42.1 \times 7.65$
\item $6.5^2$
\end{enumerate}
\begin{solution}
\begin{enumerate}
\item $9 \times 8 = 72$
\item $15 \times 35 = 525$
\item $42.1 \times 7.65 = 322.065$
\item $6.5^2 = 42.25$
\end{enumerate}
\end{solution}
\vfill
\problem{}
Compute the following using your slide rule. \\
\begin{enumerate}
\item $135 \div 15$
\item $68.2 \div 0.575$
\item $(118 \times 0.51) \div 6.6$
\end{enumerate}
\begin{solution}
\begin{enumerate}
\item $135 \div 15 = 9$
\item $68.2 \div 0.575 = 118.609$
\item $(118 \times 0.51) \div 6.6 = 9.118$
\end{enumerate}
\end{solution}
\vfill
\pagebreak

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\NeedsTeXFormat{LaTeX2e}
\ProvidesPackage{sliderule}[2022/08/22 Slide rule tools]
\RequirePackage{tikz}
\RequirePackage{ifthen}
% Scale functions:
% See https://sliderulemuseum.com/SR_Scales.htm
%
% l: length of the rule
% n: the number on the rule
%
% A/B: (l/2) * log(n)
% C/D: l / log(n)
% CI: abs(l * log(10 / n) - l)
% K: (l/3) * log(n)
%
% L: n * l
% T: l * log(10 * tan(n))
% S: l * log(10 * sin(n))
\def\sliderulewidth{10}
\def\abscalefn(#1){(\sliderulewidth/2) * log10(#1)}
\def\cdscalefn(#1){(\sliderulewidth * log10(#1))}
\def\ciscalefn(#1){(\sliderulewidth - \cdscalefn(#1))}
\def\kscalefn(#1){(\sliderulewidth/3) * log10(#1)}
\def\lscalefn(#1){(\sliderulewidth * #1)}
\def\tscalefn(#1){(\sliderulewidth * log10(10 * tan(#1)))}
\def\sscalefn(#1){(\sliderulewidth * log10(10 * sin(#1)))}
% Arguments:
% Label
% x of start
% y of start
\newcommand{\linearscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks
\foreach \i in {0,..., 10}{
\draw[black]
({#1 + (\sliderulewidth / 10) * \i}, #2) --
({#1 + (\sliderulewidth / 10) * \i}, #2 + 0.3)
node[above] {\i};
}
% Submarks
\foreach \n in {0, ..., 9} {
\foreach \i in {1,..., 9} {
\ifthenelse{\i=5}{
\draw[black]
({#1 + (\sliderulewidth / 10) * (\n + \i / 10)}, #2) --
({#1 + (\sliderulewidth / 10) * (\n + \i / 10)}, #2 + 0.2);
} {
\draw[black]
({#1 + (\sliderulewidth / 10) * (\n + \i / 10)}, #2) --
({#1 + (\sliderulewidth / 10) * (\n + \i / 10)}, #2 + 0.1);
}
}
}
}
% Arguments:
% Label
% x of start
% y of start
\newcommand{\abscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks 1 - 9
\foreach \i in {1,..., 9}{
\draw[black]
({#1 + \abscalefn(\i)}, #2) --
({#1 + \abscalefn(\i)}, #2 + 0.3)
node[above] {\i};
}
% Numbers and marks 10 - 100
\foreach \i in {1,..., 10}{
\draw[black]
({#1 + \abscalefn(10 * \i)}, #2) --
({#1 + \abscalefn(10 * \i)}, #2 + 0.3)
node[above] {\ifthenelse{\i=10}{1}{\i}};
}
% Submarks 1 - 9
\foreach \n in {1, ..., 9} {
\ifthenelse{\n<5}{
\foreach \i in {1,..., 9}
} {
\foreach \i in {2,4,6,8}
}
{
\ifthenelse{\i=5}{
\draw[black]
({#1 + \abscalefn(\n + \i / 10)}, #2) --
({#1 + \abscalefn(\n + \i / 10)}, #2 + 0.2);
} {
\draw[black]
({#1 + \abscalefn(\n + \i / 10)}, #2) --
({#1 + \abscalefn(\n + \i / 10)}, #2 + 0.1);
}
}
}
% Submarks 10 - 100
\foreach \n in {10,20,...,90} {
\ifthenelse{\n<50}{
\foreach \i in {1,..., 9}
} {
\foreach \i in {2,4,6,8}
}
{
\ifthenelse{\i=5}{
\draw[black]
({#1 + \abscalefn(\n + \i)}, #2) --
({#1 + \abscalefn(\n + \i)}, #2 + 0.2);
} {
\draw[black]
({#1 + \abscalefn(\n + \i)}, #2) --
({#1 + \abscalefn(\n + \i)}, #2 + 0.1);
}
}
}
}
\newcommand{\cdscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks 1 - 10
\foreach \i in {1,..., 10}{
\draw[black]
({#1 + \cdscalefn(\i)}, #2) --
({#1 + \cdscalefn(\i)}, #2 + 0.3)
node[above] {\ifthenelse{\i=10}{1}{\i}};
}
% Submarks 1 - 9
\foreach \n in {1, ..., 9} {
\ifthenelse{\n<3}{
\foreach \i in {5,10,...,95}
} {
\foreach \i in {10,20,...,90}
}
{
\ifthenelse{\i=50}{
\draw[black]
({#1 + \cdscalefn(\n + \i / 100)}, #2) --
({#1 + \cdscalefn(\n + \i / 100)}, #2 + 0.2);
\ifthenelse{\n=1}{
\draw
({#1 + \cdscalefn(\n + \i / 100)}, #2 + 0.2)
node [above] {1.5};
}{}
} {
\ifthenelse{
\i=10 \OR \i=20 \OR \i=30 \OR \i=40 \OR
\i=60 \OR \i=70 \OR \i=80 \OR \i=90
}{
\draw[black]
({#1 + \cdscalefn(\n + \i / 100)}, #2) --
({#1 + \cdscalefn(\n + \i / 100)}, #2 + 0.15);
} {
\draw[black]
({#1 + \cdscalefn(\n + \i / 100)}, #2) --
({#1 + \cdscalefn(\n + \i / 100)}, #2 + 0.1);
}
}
}
}
}
\newcommand{\ciscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks
\foreach \i in {1,...,10}{
\draw[black]
({#1 + \ciscalefn(\i)}, #2) --
({#1 + \ciscalefn(\i)}, #2 + 0.3)
node[above] {\ifthenelse{\i=10}{1}{\ifthenelse{\i=0}{0}{.\i}}};
}
% Submarks 1 - 9
\foreach \n in {1, ..., 9} {
\ifthenelse{\n<3}{
\foreach \i in {5,10,...,95}
} {
\foreach \i in {10,20,...,90}
}
{
\ifthenelse{\i=50}{
\draw[black]
({#1 + \ciscalefn(\n + \i / 100)}, #2) --
({#1 + \ciscalefn(\n + \i / 100)}, #2 + 0.2);
\ifthenelse{\n=1}{
\draw
({#1 + \ciscalefn(\n + \i / 100)}, #2 + 0.2)
node [above] {1.5};
}{}
} {
\ifthenelse{
\i=10 \OR \i=20 \OR \i=30 \OR \i=40 \OR
\i=60 \OR \i=70 \OR \i=80 \OR \i=90
}{
\draw[black]
({#1 + \ciscalefn(\n + \i / 100)}, #2) --
({#1 + \ciscalefn(\n + \i / 100)}, #2 + 0.15);
} {
\draw[black]
({#1 + \ciscalefn(\n + \i / 100)}, #2) --
({#1 + \ciscalefn(\n + \i / 100)}, #2 + 0.1);
}
}
}
}
}
\newcommand{\kscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks 1 - 9
\foreach \i in {1,...,9}{
\draw[black]
({#1 + \kscalefn(\i)}, #2) --
({#1 + \kscalefn(\i)}, #2 + 0.3)
node[above] {\i};
}
% Numbers and marks 10 - 90
\foreach \i in {1,..., 9}{
\draw[black]
({#1 + \kscalefn(10 * \i)}, #2) --
({#1 + \kscalefn(10 * \i)}, #2 + 0.3)
node[above] {\ifthenelse{\i=10}{1}{\i}};
}
% Numbers and marks 100 - 1000
\foreach \i in {1,..., 10}{
\draw[black]
({#1 + \kscalefn(100 * \i)}, #2) --
({#1 + \kscalefn(100 * \i)}, #2 + 0.3)
node[above] {\ifthenelse{\i=10}{1}{\i}};
}
% Submarks 1 - 9
\foreach \n in {1, ..., 9} {
\ifthenelse{\n<4}{
\foreach \i in {1,..., 9}
} {
\foreach \i in {2,4,6,8}
}
{
\ifthenelse{\i=5}{
\draw[black]
({#1 + \kscalefn(\n + \i / 10)}, #2) --
({#1 + \kscalefn(\n + \i / 10)}, #2 + 0.2);
} {
\draw[black]
({#1 + \kscalefn(\n + \i / 10)}, #2) --
({#1 + \kscalefn(\n + \i / 10)}, #2 + 0.1);
}
}
}
% Submarks 10 - 90
\foreach \n in {10,20,...,90} {
\ifthenelse{\n<40}{
\foreach \i in {1,..., 9}
} {
\foreach \i in {2,4,6,8}
}
{
\ifthenelse{\i=5}{
\draw[black]
({#1 + \kscalefn(\n + \i)}, #2) --
({#1 + \kscalefn(\n + \i)}, #2 + 0.2);
} {
\draw[black]
({#1 + \kscalefn(\n + \i)}, #2) --
({#1 + \kscalefn(\n + \i)}, #2 + 0.1);
}
}
}
% Submarks 100 - 1000
\foreach \n in {100,200,...,900} {
\ifthenelse{\n<400}{
\foreach \i in {10,20,...,90}
} {
\foreach \i in {20,40,60,80}
}
{
\ifthenelse{\i=50}{
\draw[black]
({#1 + \kscalefn(\n + \i)}, #2) --
({#1 + \kscalefn(\n + \i)}, #2 + 0.2);
} {
\draw[black]
({#1 + \kscalefn(\n + \i)}, #2) --
({#1 + \kscalefn(\n + \i)}, #2 + 0.1);
}
}
}
}
\newcommand{\lscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks
\foreach \i in {0,..., 10}{
\draw[black]
({#1 + \lscalefn(\i / 10)}, #2) --
({#1 + \lscalefn(\i / 10)}, #2 + 0.3)
node[above] {\ifthenelse{\i=10}{1}{\ifthenelse{\i=0}{0}{.\i}}};
}
% Submarks
\foreach \n in {0, ..., 9} {
\foreach \i in {1,...,19} {
\ifthenelse{\i=10}{
\draw[black]
({#1 + \lscalefn((\n + (\i / 20))/10)}, #2) --
({#1 + \lscalefn((\n + (\i / 20))/10)}, #2 + 0.2);
} {
\ifthenelse{
\i=1 \OR \i=3 \OR \i=5 \OR \i=7 \OR
\i=9 \OR \i=11 \OR \i=13 \OR \i=15 \OR
\i=17 \OR \i=19
}{
\draw[black]
({#1 + \lscalefn((\n + (\i / 20))/10)}, #2) --
({#1 + \lscalefn((\n + (\i / 20))/10)}, #2 + 0.1);
} {
\draw[black]
({#1 + \lscalefn((\n + (\i / 20))/10)}, #2) --
({#1 + \lscalefn((\n + (\i / 20))/10)}, #2 + 0.15);
}
}
}
}
}
\newcommand{\tscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
% First line
\draw[black] ({#1}, #2) -- ({#1}, #2 + 0.2);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks 6 - 10
\foreach \i in {6,...,9,10,15,...,45}{
\draw[black]
({#1 + \tscalefn(\i)}, #2) --
({#1 + \tscalefn(\i)}, #2 + 0.3)
node[above] {\i};
}
% Submarks 6 - 10
\foreach \n in {6, ..., 9} {
\foreach \i in {1,...,9}{
\ifthenelse{\i=5}{
\draw[black]
({#1 + \tscalefn(\n + \i / 10)}, #2) --
({#1 + \tscalefn(\n + \i / 10)}, #2 + 0.2);
} {
\draw[black]
({#1 + \tscalefn(\n + \i / 10)}, #2) --
({#1 + \tscalefn(\n + \i / 10)}, #2 + 0.1);
}
}
}
% Submarks 15 - 45
\foreach \n in {10, 15, ..., 40} {
\foreach \i in {1,...,24}{
\ifthenelse{
\i=5 \OR \i=10 \OR \i=15 \OR \i=20
} {
\draw[black]
({#1 + \tscalefn(\n + \i / 5)}, #2) --
({#1 + \tscalefn(\n + \i / 5)}, #2 + 0.2);
} {
\draw[black]
({#1 + \tscalefn(\n + \i / 5)}, #2) --
({#1 + \tscalefn(\n + \i / 5)}, #2 + 0.1);
}
}
}
}
\newcommand{\sscale}[3]{
\draw[black] ({#1}, #2) -- ({#1 + \sliderulewidth}, #2);
\draw[black] ({#1}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.9);
\draw[black] ({#1}, #2 + 0.9) -- ({#1}, #2 + 0.7);
\draw[black] ({#1 + \sliderulewidth}, #2 + 0.9) -- ({#1 + \sliderulewidth}, #2 + 0.7);
% First line
\draw[black] ({#1}, #2) -- ({#1}, #2 + 0.2);
\draw ({#1 - 0.1}, #2 + 0.5) node[left] {#3};
% Numbers and marks
\foreach \i in {6,...,9,10,15,...,30,40,50,...,60,90}{
\draw[black]
({#1 + \sscalefn(\i)}, #2) --
({#1 + \sscalefn(\i)}, #2 + 0.3)
node[above] {\i};
}
% Submarks 6 - 10
\foreach \n in {6, ..., 9} {
\foreach \i in {1,...,9}{
\ifthenelse{\i=5}{
\draw[black]
({#1 + \sscalefn(\n + \i / 10)}, #2) --
({#1 + \sscalefn(\n + \i / 10)}, #2 + 0.2);
} {
\draw[black]
({#1 + \sscalefn(\n + \i / 10)}, #2) --
({#1 + \sscalefn(\n + \i / 10)}, #2 + 0.1);
}
}
}
% Submarks 15 - 30
\foreach \n in {10, 15, ..., 25} {
\foreach \i in {1,...,24}{
\ifthenelse{
\i=5 \OR \i=10 \OR \i=15 \OR \i=20
} {
\draw[black]
({#1 + \sscalefn(\n + \i / 5)}, #2) --
({#1 + \sscalefn(\n + \i / 5)}, #2 + 0.2);
} {
\draw[black]
({#1 + \sscalefn(\n + \i / 5)}, #2) --
({#1 + \sscalefn(\n + \i / 5)}, #2 + 0.1);
}
}
}
% Submarks 30
\foreach \n in {30} {
\foreach \i in {1,...,19}{
\ifthenelse{
\i=2 \OR \i=4 \OR \i=6 \OR \i=8 \OR
\i=10 \OR \i=12 \OR \i=14 \OR \i=16 \OR
\i=18
} {
\draw[black]
({#1 + \sscalefn(\n + \i / 2)}, #2) --
({#1 + \sscalefn(\n + \i / 2)}, #2 + 0.2);
} {
\draw[black]
({#1 + \sscalefn(\n + \i / 2)}, #2) --
({#1 + \sscalefn(\n + \i / 2)}, #2 + 0.1);
}
}
}
% Submarks 40 - 50
\foreach \n in {40, 50} {
\foreach \i in {1,...,9}{
\ifthenelse{
\i=5 \OR \i=10 \OR \i=15 \OR \i=20
} {
\draw[black]
({#1 + \sscalefn(\n + \i)}, #2) --
({#1 + \sscalefn(\n + \i)}, #2 + 0.2);
} {
\draw[black]
({#1 + \sscalefn(\n + \i)}, #2) --
({#1 + \sscalefn(\n + \i)}, #2 + 0.1);
}
}
}
% Submarks 60
\foreach \i in {1,...,10}{
\ifthenelse{
\i=5 \OR \i=10
} {
\draw[black]
({#1 + \sscalefn(60 + \i * 2)}, #2) --
({#1 + \sscalefn(60 + \i * 2)}, #2 + 0.2);
} {
\draw[black]
({#1 + \sscalefn(60 + \i * 2)}, #2) --
({#1 + \sscalefn(60 + \i * 2)}, #2 + 0.1);
}
}
}