This quiz is much more difficult than it looks. There are an infinite

number of

combinations, even for small word sets, because each term can be

repeated.

To handle this, most brave souls who solved the quiz used some matrix

transformations from linear algebra for solving a system of linear

equations.

This makes it possible to find solutions in reasonable time, but I had

to drag

out the math textbooks to decode the solutions.

Let’s take a look into one such solution by Eric I.:

require ‘mathn’

CompactOutput = false

# calculate the least common multiple of one or more numbers

def lcm(first, *rest)

rest.inject(first) { |l, n| l.lcm(n) }

end

# …

This should be pretty easy to digest. The mathn library is pulled in

here to

get more accurate results in the calculations the code will be doing, a

constant

selects the desired output mode, and a shortcut is defined for applying

lcm()

over an Array of numbers.

The next method is where all the action is, so let’s take that one

slowly:

# …

# Returns nil if there is no solution or an array containing two

# elements, one for the left side of the equation and one for the

# right side. Each of those elements is itself an array containing

# pairs, where each pair is an array in which the first element is the

# number of times that word appears and the second element is the

# word.

def solve_to_array(words)

# clean up word list by eliminating non-letters, converting to lower

# case, and removing duplicate words

words.map! { |word| word.downcase.gsub(/[^a-z]/, ‘’) }.uniq!

```
# ...
```

The first comment does a good job of describing the result this method

will

eventually produce, so you may want to glance back to it when we get

that far.

The first set of operations is the word normalization process right out

of the

quiz. This code shouldn’t scare anybody yet. (Just a quick side note

though,

it is possible to use delete("^a-z") here instead of the gsub() call.)

One more easy bit of code, then we will ramp things up:

```
# ...
# calculate the letters used in the set of words
letters = Hash.new
words.each do |word|
word.split('').each { |letter| letters[letter] = true }
end
# ...
```

This code just makes a list of all letters used in the word list. (Only

the

keys() of the Hash are used.) To see what that’s for, we need to dive

into the

math:

```
# ...
# create a matrix to represent a set of linear equations.
column_count = words.size
row_count = letters.size
equations = []
letters.keys.each do |letter|
letter_counts = []
words.each { |word| letter_counts << word.count(letter) }
equations << letter_counts
end
# ...
```

This code build the matrix we are going to work with to find answers.

Each

column in the matrix represents a word and each row a letter. The

numbers in

the matrix then are just a count of the letter in that word. For

example, using

the quiz equation this code produces the following matrix:

```
v
o
l m
d a r
e r i
l m v d
o o t o d
a r r o l l
i m d t m o e
+--------------
```

v | 0 0 0 1 0 1 0

l | 0 0 1 1 0 1 1

a | 0 1 0 0 0 1 0

m | 0 1 0 1 1 1 0

d | 0 0 1 1 0 0 2

o | 0 0 1 2 1 2 0

e | 0 0 0 1 0 0 1

r | 0 0 1 1 0 1 1

t | 0 0 0 1 1 0 0

i | 1 0 0 0 0 0 1

If you glance back at the code now, it should be pretty clear how it

builds the

matrix as an Array of Arrays.

Now we’re ready to manipulate the matrix and this is the first chunk of

code

that does that:

```
# ...
# transform matrix into row echelon form
equations.size.times do |row|
# re-order the rows, so the row with a value in then next column
# to process is above those that contain zeroes
equations.sort! do |row1, row2|
column = 0
column += 1 until column == column_count ||
row2[column].abs != row1[column].abs
if column == column_count : 0
else row2[column].abs <=> row1[column].abs
end
end
# figure out which column to work on
column = (0...column_count).detect { |i| equations[row][i] != 0 }
break unless column
# transform rows below the current row so that there is a zero in
# the column being worked on
((row + 1)...equations.size).each do |row2|
factor = -equations[row2][column] / equations[row][column]
(column...column_count).each do |c|
equations[row2][c] += factor * equations[row][c]
end
end
end
# ...
```

Now you really don’t want me to describe that line by line. Trust me.

Instead,

let me sum up what it does.

This code transforms the matrix into row echelon form, which says that

higher

rows in the matrix have entries in further left columns and that the

first

significant entry in a row is preceded only by zeros. That sounds

scarier than

it is. Here’s the transformed matrix (without the labels this time):

1 0 0 0 0 0 1

0 1 0 1 1 1 0

0 0 1 2 1 2 0

0 0 0 -1 -1 -2 2

0 0 0 0 -1 -2 3

0 0 0 0 0 -2 2

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

The why behind this transformation is that its the first step in solving

for our

equation.

On to the next bit of code:

```
# ...
# only one of the free variables chosen randomly will get a 1, the
# rest 0
rank = equations.select { |row| row.any? { |v| v != 0 }}.size
free = equations[0].size - rank
free_values = Array.new(free, 0)
free_values[rand(free)] = 2 * rand(2) - 1
# ...
```

This bit of math uses the rank of the matrix to determine the free

variables it

will solve for. Free variables are just placeholders for substitutions

in our

system of equations. More concretely, they are where one or more words

will be

inserted in our string equations.

Setting a single value to one, as the comment mentions, is basically

preparing

to to work with one word at a time. That’s why the others are zeroed

out.

One more variable is prepared:

```
# ...
values = Array.new(equations[0].size) # holds the word_counts
# ...
```

As the comment explains, this will eventually be the counts for each

word.

OK, here’s the last big bit of math:

```
# ...
# use backward elimination to find values for the variables; process
# each row in reverse order
equations.reverse_each do |row|
# determine number of free variables for the given row
free_variables = (0...column_count).inject(0) do |sum, index|
row[index] != 0 && values[index].nil? ? sum + 1 : sum
end
# on this row, 1 free variable will be calculated, the others will
# get the predetermined free values; the one being calculated is
# marked with nil
free_values.insert(rand(free_variables), nil) if free_variables >
```

0

```
# assign values to the variables
sum = 0
calc_index = nil
row.each_index do |index|
if row[index] != 0
if values[index].nil?
values[index] = free_values.shift
# determine if this is a calculated or given free value
if values[index] : sum += values[index] * row[index]
else calc_index = index
end
else
sum += values[index] * row[index]
end
end
end
# calculate the remaining value on the row
values[calc_index] = -sum / row[calc_index] if calc_index
end
# ...
```

This elimination is the second and final matrix transform leading to a

solution.

The code works through each row or equation of the matrix, determining

values

for the free variables.

Again this process is much more linear algebra than Ruby, so I won’t

bother to

break it down line by line. Just know that the end result of this

process is

that values now holds the counts of the words needed to solve quiz.

Positive

counts belong on one side of the equation, negative counts on the other.

This is the code that breaks down those counts:

```
# ...
if values.all? { |v| v } && values.any? { |v| v != 0 }
# in case we ended up with any non-integer values, multiply all
# values by their collective least common multiple of the
# denominators
multiplier =
lcm(*values.map { |v| v.kind_of?(Rational) ? v.denominator : 1
```

})

values.map! { |v| v * multiplier }

```
# deivide the terms into each side of the equation depending on
# whether the value is positive or negative
left, right = [], []
values.each_index do |i|
if values[i] > 0 : left << [values[i], words[i]]
elsif values[i] < 0 : right << [-values[i], words[i]]
end
end
[left, right] # return found equation
else
nil # return no found equation
end
```

end

# …

Assuming we found a solution, this code divides the words to be used

into two

groups, one for each side of the equation. It divides based on the

positive and

negative counts I just explained in values and the end result was

described in

that first comment at the top of this long method.

With the math behind us, the rest of the code is easy:

# …

# Returns a string containing a solution if one exists; otherwise

# returns nil. The returned string can be in either compact or

# non-compact form depending on the CompactOutput boolean constant.

def solve_to_string(words)

result = solve_to_array(words)

if result

if CompactOutput

result.map do |side|

side.map { |term| “#{term[0]}*”#{term[1]}"" }.join(’ + ‘)

end.join(" == “)

else

result.map do |side|

side.map { |term| ([”"#{term[1]}""] * term[0]).join(’ + ‘)

}.

join(’ + ')

end.join(" == ")

end

else

nil

end

end

# …

This method just wraps the previous solver and transforms the resulting

Arrays

into the quiz equation format. Two different output options are

controlled by

the constant we saw at the beginning of the program.

Here’s the final piece of the puzzle:

# …

if **FILE** == $0 # if run from the command line…

# collect words from STDIN

words = []

while line = gets

words << line.chomp

end

```
result = solve_to_string(words)
if result : puts result
else exit 1
end
```

end

This code just brings in the word list, taps the solver to do the hard

work, and

sends back the results. This turns the code into a complete solution.

My thanks to all of you who know math so much better than me. I had to

use math

books and my pet math nerd just to breakdown how these solutions worked.

Tomorrow we return to easier problems, pop quiz style…