Welcome to Algorithm

Algorithm is a library of tools that is used to create intelligent applications.

Features

Data Structures

Requirements

iOS 8.0+ / Mac OS X 10.9+
Xcode 8.0+

Communication

If you need help, use Stack Overflow. (Tag 'cosmicmind')
If you'd like to ask a general question, use Stack Overflow.
If you found a bug, and can provide steps to reliably reproduce it, open an issue.
If you have a feature request, open an issue.
If you want to contribute, submit a pull request.

Installation

Embedded frameworks require a minimum deployment target of iOS 8 or OS X Mavericks (10.9).

Download Algorithm

Visit the Installation page to learn how to install Algorithm using CocoaPods and Carthage.

Changelog

Algorithm is a growing project and will encounter changes throughout its development. It is recommended that the Changelog be reviewed prior to updating versions.

Samples

The following are samples to see how Algorithm may be used within your applications.

Visit the Samples repo to see example projects using Algorithm.
Probability
ExpectedValue
DoublyLinkedList
Stack
Queue
Deque
RedBlackTree
SortedSet
SortedMultiSet
SortedDictionary
SortedMultiDictionary

Probability

Each data structure within Algorithm is equipped with probability tools.

Basic Probability

For example, determining the probability of rolling a 3 using a die of 6 numbers.

let die = [Int](arrayLiteral: 1, 2, 3, 4, 5, 6)

if 0.1 < die.probability(of: 3) 
		// Do something ...
}

Conditional Probability

For conditional probabilities that require a more complex calculation, use block statements.

let die = [Int](arrayLiteral: 1, 2, 3, 4, 5, 6)

let pOfX = die.probability { (number) in
	return 5 < number || 0 == number % 3
}

if 0.33 < pOfX {
	// Do something ...
}

Expected Value

The expected value of rolling a 3 or 6 with 100 trials using a die of 6 numbers.

let die = [Int](arrayLiteral: 1, 2, 3, 4, 5, 6)

if 20 < die.expectedValue(trials: 100, for: 3, 6) {
		// Do something ...
}

DoublyLinkedList

The DoublyLinkedList data structure is excellent for large growing collections of data. Below is an example of its usage.

var listA = DoublyLinkedList<Int>()
        
listA.insert(atFront: 3)
listA.insert(atFront: 2)
listA.insert(atFront: 1)

var listB = DoublyLinkedList<Int>()

listB.insert(atBack: 4)
listB.insert(atBack: 5)
listB.insert(atBack: 6)

var listC = listA + listB

listC.cursorToFront()

var value = listC.cursor

while nil != value {
    // Do something ...
    
    value = listC.next()
}

Stack

The Stack data structure is a container of objects that are inserted and removed according to the last-in-first-out (LIFO) principle. Below is an example of its usage.

var stack = Stack<Int>()

stack.push(1)
stack.push(2)
stack.push(3)

while !stack.isEmpty {
	let value = stack.pop()
	
	// Do something ...
}

Queue

The Queue data structure is a container of objects that are inserted and removed according to the first-in-first-out (FIFO) principle. Below is an example of its usage.

var queue = Queue<Int>()

queue.enqueue(1)
queue.enqueue(2)
queue.enqueue(3)

while !queue.isEmpty {
    let value = queue.dequeue()

    // Do something ...
}

Deque

The Deque data structure is a container of objects that are inserted and removed according to the first-in-first-out (FIFO) and last-in-first-out (LIFO) principle. Essentially, a Deque is a Stack and Queue combined. Below are examples of its usage.

var dequeA = Deque<Int>()
dequeA.insert(atBack: 1)
dequeA.insert(atBack: 2)
dequeA.insert(atBack: 3)

while !dequeA.isEmpty {
	let value = dequeA.removeAtFront()
	
	// Do something ...
}

var dequeB = Deque<Int>()
dequeB.insert(atBack: 4)
dequeB.insert(atBack: 5)
dequeB.insert(atBack: 6)

while !dequeB.isEmpty {
	let value = dequeB.removeAtFront()
	
	// Do something ...
}

RedBlackTree

A RedBlackTree is a Balanced Binary Search Tree that maintains insert, remove, update, and search operations in a complexity of O(logn). The following implementation of a RedBlackTree also includes an order-statistic, which allows the data structure to be accessed using subscripts like an array or dictionary. RedBlackTrees may store unique keys or non-unique key values. Below is an example of its usage.

var ages = RedBlackTree<String, Int>(uniqueKeys: true)

ages.insert(value: 16, for: "Sarah")
ages.insert(value: 12, for: "Peter")
ages.insert(value: 23, for: "Alex")

let node = ages[1]

if "Peter" == node.key {
    // Do something ...
}

SortedSet

SortedSets are a powerful data structure for algorithm and analysis design. Elements within a SortedSet are unique and insert, remove, and search operations have a complexity of O(logn). The following implementation of a SortedSet also includes an order-statistic, which allows the data structure to be accessed using an index subscript like an array. Below are examples of its usage.

let setA = SortedSet<Int>(elements: 1, 2, 3)
let setB = SortedSet<Int>(elements: 4, 3, 6)
let setC = SortedSet<Int>(elements: 7, 1, 2)
let setD = SortedSet<Int>(elements: 1, 7)
let setE = SortedSet<Int>(elements: 1, 6, 7)

// Union.
setA + setB
setA.union(setB)

// Intersection.
setC.intersection(setD)

// Subset.
setD < setC
setD.isSubset(of: setC)

// Superset.
setD > setC
setD.isSuperset(of: setC)

// Contains.
setE.contains(setA.first!)

// Probability.
setE.probability(of: setA.first!, setA.last!)

SortedMultiSet

A SortedMultiSet is identical to a SortedSet, except that a SortedMultiSet allows non-unique elements. Look at SortedSet for examples of its usage.

SortedDictionary

A SortedDictionary is a powerful data structure that maintains a sorted set of keys with value pairs. Keys within a SortedDictionary are unique and insert, remove, update, and search operations have a complexity of O(logn).

SortedMultiDictionary

A SortedMultiDictionary is identical to a SortedDictionary, except that a SortedMultiDictionary allows non-unique keys. Below is an example of its usage.

struct Student {
    var name: String
}

let sarah = Student(name: "Sarah")
let peter = Student(name: "Peter")
let alex = Student(name: "Alex")

var students = SortedMultiDictionary<String, Student>()

students.insert(value: sarah, for: sarah.name)
students.insert(value: peter, for: peter.name)
students.insert(value: alex, for: alex.name)

for student in students {
    // Do something ...
}

License

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of CosmicMind nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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