[PDF] [PDF] Abstract Data Types Data Structure “Grand Tour” Java Collections

[PDF] Abstract Data Types Data Structure “Grand Tour” Java Collections

▻ Remember, O isn't a tight bound Page 4 ▻ explain what an ADT is ▻ list four examples of ADTs in the Collections

[PDF] ADT and Data Structure Example

The Java primitive data types (e g int) have values and operations defined in Java itself • An Abstract Data Type (ADT) is a data type that has values and 

[PDF] Introduction: Abstract Data Types and Java Review - Fas Harvard

public class ArrayBag implements Bag { private Object[] items; private int numItems; public boolean add(Object item) { } (see ~cscie119/examples/ bag/ 

[PDF] Abstract Data Types and Data Structures - Fas Harvard

We want the bag to be able to store objects of any type Specifying an ADT Using an Interface • In Java, we can use an interface to specify an ADT:

[PDF] Abstract Data Type (ADT)

Understanding data abstraction Defining ADT ➢Abstract data type (ADT) is a collection of data a In Java 7 and earlier, methods in an interface only have

[PDF] Abstract Data Types - COMP1005/1405 Notes 1

In JAVA, there are a variety of ADT-related classes that can be used to represent these various programming needs These ADTs are located in the java util

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Data abstraction (Abstract Data Type, or ADT): 3 type Common in immutable types, e g , java lang String: String substring(int offset, int len) No side effects 

[PDF] Appendix A ABSTRACT DATA TYPES IN JAVA

Abstract data types(ADT) are a way of organizing the objects and operations that de- fine a data type in such a way that the specifications and behaviours of the 

[PDF] Data Abstraction and Abstract Data Types - cssiuedu - Southern

Data Type • Java provides eight primitive types: – boolean – char, byte, short, int , Abstract Data Type An ADT has built-in operations that can be performed

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Abstract Data Types

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Java Collections

`Stacks and Queues ŃHopefully you have met with your partner to start

ŃHopefully you and your partner can work well

together. I usually like to pair people with similar NMŃNJURXQGV NXP VLQŃH H GRQ·P NQRR POMP \HP POH\ are arbitrary.

ŃFinish day 4 quiz now.

`From question 2:

Suppose T1(N) is O(f(N)) and T2(N) is O(f(N)). Prove that T1(N) + T2(N) is O(f(N)) or give a counter-example:

`Hint: Constants c1 and c2 must exist for T1(N) and T2(N) to be O(f(N))

ŃHow can you use them?

`Does this work exactly like this for T1(N) -T2(N) ? `5HPHPNHU 2 LVQ·P M PLJOP NRXQGB `explain what an ADT is `list four examples of ADTs in the Collections framework `list examples of implementations of the ADTs in the Collections framework `explain why stacks and queues are still good

ADTs to use, even though lists could be used.

What is data?

What do we mean by

structure?

ŃA set of operations

ŃMay be provided by the hardware (intand double)

ŃBy software (java.math.BigInteger)

ŃBy software + hardware (int[])

`A mathematical model of a data type `Specifies:

ŃThe type of data stored

ŃThe operations supported

ŃArgument types and return types of these operations

ŃWhat each operation does, but not how

`One special value: zero `Three basic operations:

Ńsucc

Ńpred

ŃisZero

`Derived operations include plus `Sample rules:

ŃisZero(succ(n)) Îfalse

Ńpred(succ(n)) În

Ńplus(n, zero) În

Ńplus(n, succ(m)) Îsucc(plus(n, m))

Q1 Q2

Specification

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Implementation:

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Application:

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CSSE220

CSSE230

Some review

Some new

All will appear again

`Array `List

ŃArray List

ŃLinked List

`Stack `Queue `Set

ŃTree Set

ŃHash Set

ŃLinked Hash Set

`Map

ŃTree Map

ŃHash Map

`Priority Queue `Tree `Graph `Network

Implementations for almost all

of these* are provided by the

Java Collections Framework in

the java.utilpackage. *Exceptions: Tree, Graph, Network `Search for Java 8 Collection `With a partner, read the javadocsto answer the quiz questions. You only need to submit one quiz per pair. (Put both names at top) `I have used the rest of the slides when teaching CSSE230 before.

ŃMaybe a good reference?

`When you finish, you may work on your current CSSE230 assignments Q3-11 `Size must be declared when the array is constructed `Can look up or store items by index

Example:

nums[i+1] = nums[i] + 2; `How is this done? a[0] a[1] a[2] a[i] a[N-2] a[N-1] La `A list is an ordered collection where elements may be added anywhere, and any elements may be deleted or replaced. `Array List:Like an array, but growable and shrinkable. `Linked List:

Operations

Provided

Array List

Efficiency

Linked List

Efficiency

Random accessO(1)O(n)

Add/remove itemO(n)O(1)

`A last-in, first-out (LIFO) data structure `Real-world stacks

ŃPlate dispensers in

the cafeteria

ŃPancakes!

`Some uses:

ŃTracking paths through a maze

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Operations

Provided

Efficiency

PushitemO(1)

Pop itemO(1)

Implemented by

Stack, LinkedList,

and ArrayDequein Java `first-in, first-out (FIFO) data structure `Real-world queues

ŃWaiting line at

the BMV

ŃCharacter on Star Trek TNG

`Some uses: ŃScheduling access to shared resource (e.g., printer)

Operations

Provided

Efficiency

Enqueue itemO(1)

Dequeue itemO(1)

Implemented by

LinkedListand

ArrayDequein

Java `A collection of items without duplicates (in general, order does not matter)

ŃIf aand bare both in set, then !a.equals(b)

`Real-world sets:

ŃStudents

ŃCollectibles

`One possible use:

ŃQuickly checking if an

item is in a collection

OperationsHashSetTreeSet

Add/remove itemO(1)O(logn)

Contains?O(1)O(logn)

Can hog space

Sorts items!

Example from 220

`Associate keyswith values `Real-RRUOG ´PMSVµ

ŃDictionary

ŃPhone book

`Some uses:

ŃAssociating student ID with transcript

ŃAssociating name with high scores

OperationsHashMapTreeMap

Insert key-value pairO(1)O(log n)

Look up the value associated

with a given key

O(1)O(log n)

Can hog space

Sorts items by key!

How is a TreeMaplike a TreeSet?

How is it different?

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ŃOperations: insert, findMin, deleteMin

`Real-RRUOG ´SULRULP\ TXHXHµ

ŃAirport ticketing counter

`Some uses

ŃSimulations

ŃScheduling in an OS

ŃHuffman coding

Not like regular

queues!

Operations

Provided

Efficiency

InsertO(log n)

Find MinO(log n)

Delete MinO(log n)

The version in Warm Up

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efficient. `Collection of nodes

ŃOne specialized node is the root.

ŃA node has one parent (unless it is the root)

ŃA node has zero or more children.

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ŃOrganizational hierarchies

ŃSome family trees

`Some uses:

ŃDirectory structure

on a hard drive

ŃSorted collections

Operations

Provided

Efficiency

FindO(log n)

Add/removeO(log n)

Only if tree is

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`A collection of nodes and edges

ŃEach edge joins two nodes

ŃEdges can be directed or undirected

`Real-RRUOG ´JUMSOµ

ŃRoad map

`Some uses:

ŃTracking links between web pages

ŃFacebook

Operations

Provided

Efficiency

FindO(n)

Add/removeO(1) or O(n) or O(n2)

Depends on

implementation (time/space trade off) `Graph whose edges have numeric labels `Examples (labels):

ŃRoad map (mileage)

ŃAirline's flight map (flying time)

ŃPlumbing system (gallons per minute)

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