# ArrayQueue: An Array-Based Queue

Learn how to implement ArrayQueue data structure.

## We'll cover the following

`ArrayQueue`

operations

In this lesson, we present the `ArrayQueue`

data structure, which implements a FIFO (first-in-first-out) queue; elements are removed (using the `remove()`

operation) from the queue in the same order they are added (using the `add(x)`

operation).

Notice that an `ArrayStack`

is not a good choice for an implementation of a FIFO queue because we must choose one end of the list upon which to add elements and then remove elements from the other end. One of the two operations must work on the head of the list, which involves calling `add(i, x)`

or `remove(i)`

with a value of `i = 0`

. This gives a running time proportional to $n$.

To obtain an efficient array-based implementation of a queue, we first notice that the problem would be easy if we had an infinite array `a`

. We could maintain one index `j`

that keeps track of the next element to remove and an integer `n`

that counts the number of elements in the queue. The queue elements would always be stored in

$a[j],a[j+1],...,a[j+n−1]$

Initially, both `j`

and `n`

would be set to $0$. To add an element, we would place it in `a[j + n]`

and increment `n`

. To remove an element, we would remove it from `a[j]`

, increment `j`

, and decrement `n`

.

Of course, the problem with this solution is that it requires an infinite array. An `ArrayQueue`

simulates this by using a finite array `a`

and **modular arithmetic**. This is the kind of arithmetic used when we are talking about the time of day. For example $10:00$ plus five hours gives $3:00$. Formally, we say that

$10 + 5 = 15 = 3\ (\mod{12})$

We read the latter part of this equation as “$15$ is congruent to $3$ modulo $12$.” We can also treat mod as a binary operator, so that

$15\mod{12} = 3$

More generally, for an integer $a$ and positive integer $m$, $a\mod{m}$ is the unique integer $r \in \{0,...,m − 1\}$ such that $a = r + km$ for some integer $k$. Less formally, the value $r$ is the remainder we get when we divide a by $m$. In many programming languages, including Java, the mod operator is represented using the $\%$ symbol

Note:$\%$ is sometimes referred to as the brain-dead mod operator, since it does not correctly implement the mathematical mod operator when the first argument is negative.

Modular arithmetic is useful for simulating an infinite array, since `i`

mod `a.length`

always gives a value in the range $0, . . . ,$`a.length`

$− 1$. Using modular arithmetic we can store the queue elements at array locations

$a[j\%\text{a.length}],a[(j+1)\%\text{a.length}],\cdots,a[(j+n−1)\%\text{a.length}]$

This treats the array a like a circular array in which array indices larger than `a.length − 1`

“wrap around” to the beginning of the array.

The only remaining thing to worry about is taking care that the number of elements in the `ArrayQueue`

does not exceed the size of `a`

.

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