ADTs,, Arrays, Linked Lists
|
|
- Cornelia Palmer
- 7 years ago
- Views:
Transcription
1 1 ADTs,, Arrays, Linked Lists Outline and Required Reading: ADTs ( 2.1.2) Arrays ( 1.5) Linked Lists ( 4.3.1, 4.3.2) COSC 2011, Fall 2003, Section A Instructor: N. Vlajic
2 Abstract Data Type (ADT) 2 abstract implementation details are not specified! Abstract Data Type entity that consists of: 1) data structure (DS) 2) set of operation supported on the DS 3) error conditions ADT Data Structure Interface add() remove() find() request result Basic Data Structures array (used in advanced ADT) linked list
3 Abstract Data Type (ADT) (cont.) 3 Data Structure Interface add() remove() find() request result Designer s responsibility: choice of data structure implementation of operations User s requirements: correct performance efficient performance The interior mechanisms of an implemented ADT should be hidden and inaccessible to the user! (Remember encapsulation, i.e. information hiding, OO-programming principle!)
4 Abstract Data Type (ADT) (cont.) 4 Standard ADTs Stacks, Queues, Vectors, Lists, Trees, Why should we know standard ADTs? standard ADTs are great reusable components - can be effectively used in solving many real world problems we may be required to adapt algorithms which use some of the standard ADTs What should we know about standard ADTs? (1) what operations they support (2) complexity of supported operations (3) memory cost of operations
5 ADT Taxonomy 5 Linear ADTs - we call an ADT linear, if the following is true: (1) there is a unique first element (2) there is a unique last element (3) every element has a unique predecessor (except 1 st ) (4) every element has a unique successor (except last) A1 A2 Non-linear ADTs - if one or more of the above is not true, the ADT is non-linear A1 A2 A3 A1
6 Abstract Data Type (ADT) (cont.) 6 Example 1 [ selecting an ADT ] (a) If organizing a tour route, where we have to add/delete a city - use Linked List. (c) If managing a telephone directory that should provide short search times - use Sorted Tree.
7 Array 7 Array sequence of indexed components, with the following general properties: array size is fixed at the time of array s construction int numbers = new numbers [10]; any array component can be efficiently inspected or updated using its index, in O(1) time randomnumber = numbers[5]; numbers[2] = 100; Index = Element at position 5 Array of length 8 Major Limitation size fixed, and must be known in advance
8 Properties of Java Arrays 8 (1) for an array of length n, the index bounds are 0 and (n-1) (2) array elements are stored in side by side memory locations (3) every array is homogeneous - all its components must be of the same type (4) an array is itself an object it is allocated dynamically by means of new it is automatically deallocated when no longer referred to
9 Linked List 9 Linked List sequence of nodes arranged one after another, with each node connected to the next by a link (like a chain) each node is an object containing: 1) a single element - stored object or value 2) links - reference to one or both neighbouring nodes each node (except the last one) has a successor, and each node (except the first one) has a predecessor node A1 head node A2 An tail node element link NOTE: neighbouring nodes can be far away physically!
10 Properties of Linked Lists 10 (1) linked list can be of any length, i.e. it can contain any number of elements, and it can grow (2) the element in any node can be accessed, however we must hold a link to that node (3) nodes can be inserted and deleted ordering of nodes can be changed in minimal running time (4) there are two different types of linked lists Singly Linked List (each node is linked to one of its neighbours) Doubly Linked List (each node is linked to both of its neighbours)
11 Object Reference 11 Reference Variable contains the location (address) of an object when we declare a reference variable, it does not reference anything, i.e. it is initialized to null if we attempt to use a reference variable before initiating an object for it, NullPointerException will be thrown Integer intref; intref = new Integer(5); Reference intref Reference intref null 5 Integer Object
12 Object Reference (cont.) 12 Declaring Reference Variables Integer p, q; p q Allocating an Object p = new Integer(5); p 5 Allocating Another Object p = new Integer(6); 5 p marked for garbage collection 6 Assigning a Reference q = p; p q 6
13 Object Reference (cont.) 13 Allocating an Object q = new Integer(9); p q 6 9 Assigning null to a Reference Variable p = null; p q marked for garbage collection 6 9 Assigning a Reference with a null Value q = p; p q null 9 marked for garbage collection
14 Singly Linked List 14 Singly Linked List each node contains a data-element together with a link to its successor A1 head node A2 An tail node SLLNode public class SLLNode { Object element; SLLNode next; public SLLNode(Object elem, SLLNode succ) { } this.element = elem; this.next = succ; } Reference variables!
15 Singly Linked List (cont.) 15 SLLNode Complying with Requirements hidden and inaccessible public class SLLNode { private Object element; private SLLNode next; public SLLNode(Object elem, SLLNode succ) { this.element = elem; this.next = succ; } public Object getelement() { return element; } public SLLNode getnext() { return next; } public void setelement(object newelement){ element = newelement; } public void setnext(sllnode newnext){ next = newnext; } }
16 Singly Linked List (cont.) 16 Creating and Linking Two SLLNodes SLLNode n = new SLLNode(new Integer(5), null); n 5 SLLNode first = new SLLNode(NewInteger(9), n) n first 5 9 SLLNode n = new SLLNode(NewInteger(9), n) n 5 9 Should, in the 2 nd case, the first node be collected by the garbage collection!?
17 Singly Linked List (cont.) 17 SLL A1 A2 An-1 An head tail public class SLL { private SLLNode head; private SLLNode tail; public SLL() { this.head = null; this.tail = null; } Constructs an empty linked list! It is a good practice to maintain direct references to head and tail; with them: 1) easy to delete or insert new node at the front of SLL; 2) easy to insert new node at the rear. But, it is still costly to delete the end node. Why?!
18 Singly Linked List (cont.) 18 Adding New Node at the Rear of SLL with Reference to Head Only! A1 A2 An head curr public class SLL { } private SLLNode head;... public void addlast(sllnode newnode){ SLLNode curr; if (head==null) head=newnode; else { } for (curr = head; curr.getnext()!= null; curr=curr.getnext()){ }; curr.setnext=newnode; }
19 Singly Linked List (cont) 19 Example 1 [ SLL traversal ] public void traversesll() { for (SLLNode curr = head; curr!= null; curr = curr.getnext()) { System.out.print(curr.element + ); } } Example 2 [ deletion of 1 st SLL node ] public void deletefirst() {... head = head.next; } A1 A2 head
20 Singly Linked List (cont) 20 Example 3 [ deletion of 1 st SLL node, with memory management ] public void deletefirst() {... } curr = head; head = head.next; curr.setnext(null); curr = null; A1 A2 marked for garbage collection head
21 Singly Linked List (cont) 21 Example 4 [ deletion of SLL node after node referenced by prev ] public void delete(sllnode prev) {... } SLLNode curr = prev.getnext(); prev.setnext(curr.getnext()); curr.setnext(null); curr = null; A1 Ak Ak+1 head prev marked for garbage collection Ak+2
22 Singly Linked List (cont) 22 Example 5 [ insertion of SLL node after node referenced by prev ] public void insert(object element) {... } SLLNode curr = prev.getnext(); SLLNode newnode = new SLLNode(element, curr); prev.setnext(newnode); Ak+1 A1 Ak Ak+1 head prev
23 Doubly Linked List 23 Doubly Linked List each node contains an element together with a link to its predecessor and a link to its successor A1 A2 An DLLNode public class DLLNode { private Object element; private DLLNode prev, next; public DLLNode(Object elem, SLLNode pred, DLLNode succ) { this.element = elem; this.prev = pred; this.next = succ; } }
24 Arrays vs. Single- and Double- Linked Lists 24 Guidelines for Choosing Between an Array and a Linked List ADT Requirement frequent random access operations add/remove at a cursor add/remove at a two-way cursor frequent capacity changes Suggested Implementation Use an array. Use a singly linked list. Use a doubly linked list. Use a linked list.
25 Questions 25 Q.1 Suppose, in your program, you have been using a collection of numbers, which has been stored in an array of size 1000, named intcollection. (int intcollection = new int[1000];) However, you do not need this collection any longer, and you want to free the memory. What should you do? Q.2 Examine the following code, and determine how the corresponding SLL (the sequence of SLL s elements) looks like. SLLNode c = new SLLNode( not to be, null); SLL phrase = SLL(); phrase.head = new SLLNode( to be, new SLLNode( or, c) ); Q.3 Repeat Examples 1 to 5 for Doubly Linked List. Q.4 Write a short program that swaps the 1 st and 2 nd node of a) a singly linked list (SLL) b) a doubly linked list (DLL)
Abstract Data Type. EECS 281: Data Structures and Algorithms. The Foundation: Data Structures and Abstract Data Types
EECS 281: Data Structures and Algorithms The Foundation: Data Structures and Abstract Data Types Computer science is the science of abstraction. Abstract Data Type Abstraction of a data structure on that
More informationQueues Outline and Required Reading: Queues ( 4.2 except 4.2.4) COSC 2011, Fall 2003, Section A Instructor: N. Vlajic
Queues Outline and Required Reading: Queues ( 4. except 4..4) COSC, Fall 3, Section A Instructor: N. Vlajic Queue ADT Queue linear data structure organized according to first-in/first-out (FIFO) principle!
More informationDATA STRUCTURES USING C
DATA STRUCTURES USING C QUESTION BANK UNIT I 1. Define data. 2. Define Entity. 3. Define information. 4. Define Array. 5. Define data structure. 6. Give any two applications of data structures. 7. Give
More informationQuiz 4 Solutions EECS 211: FUNDAMENTALS OF COMPUTER PROGRAMMING II. 1 Q u i z 4 S o l u t i o n s
Quiz 4 Solutions Q1: What value does function mystery return when called with a value of 4? int mystery ( int number ) { if ( number
More information10CS35: Data Structures Using C
CS35: Data Structures Using C QUESTION BANK REVIEW OF STRUCTURES AND POINTERS, INTRODUCTION TO SPECIAL FEATURES OF C OBJECTIVE: Learn : Usage of structures, unions - a conventional tool for handling a
More informationSTACKS,QUEUES, AND LINKED LISTS
STACKS,QUEUES, AND LINKED LISTS Stacks Queues Linked Lists Double-Ended Queues Case Study: A Stock Analysis Applet 1 Stacks Astack is a container of objects that are inserted and removed according to the
More informationData Structures Using C++ 2E. Chapter 5 Linked Lists
Data Structures Using C++ 2E Chapter 5 Linked Lists Test #1 Next Thursday During Class Cover through (near?) end of Chapter 5 Objectives Learn about linked lists Become aware of the basic properties of
More informationLecture 12 Doubly Linked Lists (with Recursion)
Lecture 12 Doubly Linked Lists (with Recursion) In this lecture Introduction to Doubly linked lists What is recursion? Designing a node of a DLL Recursion and Linked Lists o Finding a node in a LL (recursively)
More informationPES Institute of Technology-BSC QUESTION BANK
PES Institute of Technology-BSC Faculty: Mrs. R.Bharathi CS35: Data Structures Using C QUESTION BANK UNIT I -BASIC CONCEPTS 1. What is an ADT? Briefly explain the categories that classify the functions
More informationLINKED DATA STRUCTURES
LINKED DATA STRUCTURES 1 Linked Lists A linked list is a structure in which objects refer to the same kind of object, and where: the objects, called nodes, are linked in a linear sequence. we keep a reference
More informationData Structure [Question Bank]
Unit I (Analysis of Algorithms) 1. What are algorithms and how they are useful? 2. Describe the factor on best algorithms depends on? 3. Differentiate: Correct & Incorrect Algorithms? 4. Write short note:
More informationAnalysis of a Search Algorithm
CSE 326 Lecture 4: Lists and Stacks 1. Agfgd 2. Dgsdsfd 3. Hdffdsf 4. Sdfgsfdg 5. Tefsdgass We will review: Analysis: Searching a sorted array (from last time) List ADT: Insert, Delete, Find, First, Kth,
More information1) The postfix expression for the infix expression A+B*(C+D)/F+D*E is ABCD+*F/DE*++
Answer the following 1) The postfix expression for the infix expression A+B*(C+D)/F+D*E is ABCD+*F/DE*++ 2) Which data structure is needed to convert infix notations to postfix notations? Stack 3) The
More informationQuestions 1 through 25 are worth 2 points each. Choose one best answer for each.
Questions 1 through 25 are worth 2 points each. Choose one best answer for each. 1. For the singly linked list implementation of the queue, where are the enqueues and dequeues performed? c a. Enqueue in
More informationData Structures and Algorithms Lists
Data Structures and Algorithms Lists Chris Brooks Department of Computer Science University of San Francisco Department of Computer Science University of San Francisco p.1/19 5-0: Abstract Data Types An
More informationWhat is a Stack? Stacks and Queues. Stack Abstract Data Type. Java Interface for Stack ADT. Array-based Implementation
Stacks and Queues What is a Stack? Stores a set of elements in a particular order Accessed in Last-In In-First-Out (LIFO) fashion Real life examples: Pile of books PEZ dispenser Cup trays in cafeteria
More informationSequential Data Structures
Sequential Data Structures In this lecture we introduce the basic data structures for storing sequences of objects. These data structures are based on arrays and linked lists, which you met in first year
More informationLinked List as an ADT (cont d.)
Linked List as an ADT (cont d.) Default constructor Initializes list to an empty state Destroy the list Deallocates memory occupied by each node Initialize the list Reinitializes list to an empty state
More informationChapter 3: Restricted Structures Page 1
Chapter 3: Restricted Structures Page 1 1 2 3 4 5 6 7 8 9 10 Restricted Structures Chapter 3 Overview Of Restricted Structures The two most commonly used restricted structures are Stack and Queue Both
More informationBSc (Hons) Business Information Systems, BSc (Hons) Computer Science with Network Security. & BSc. (Hons.) Software Engineering
BSc (Hons) Business Information Systems, BSc (Hons) Computer Science with Network Security & BSc. (Hons.) Software Engineering Cohort: BIS/05/FT BCNS/05/FT BSE/05/FT Examinations for 2005-2006 / Semester
More informationCommon Data Structures
Data Structures 1 Common Data Structures Arrays (single and multiple dimensional) Linked Lists Stacks Queues Trees Graphs You should already be familiar with arrays, so they will not be discussed. Trees
More information7.1 Our Current Model
Chapter 7 The Stack In this chapter we examine what is arguably the most important abstract data type in computer science, the stack. We will see that the stack ADT and its implementation are very simple.
More informationLecture 11 Doubly Linked Lists & Array of Linked Lists. Doubly Linked Lists
Lecture 11 Doubly Linked Lists & Array of Linked Lists In this lecture Doubly linked lists Array of Linked Lists Creating an Array of Linked Lists Representing a Sparse Matrix Defining a Node for a Sparse
More informationNode-Based Structures Linked Lists: Implementation
Linked Lists: Implementation CS 311 Data Structures and Algorithms Lecture Slides Monday, March 30, 2009 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks CHAPPELLG@member.ams.org
More informationData Structures Using C++ 2E. Chapter 5 Linked Lists
Data Structures Using C++ 2E Chapter 5 Linked Lists Doubly Linked Lists Traversed in either direction Typical operations Initialize the list Destroy the list Determine if list empty Search list for a given
More information1. The memory address of the first element of an array is called A. floor address B. foundation addressc. first address D.
1. The memory address of the first element of an array is called A. floor address B. foundation addressc. first address D. base address 2. The memory address of fifth element of an array can be calculated
More informationD06 PROGRAMMING with JAVA
Cicles Formatius de Grau Superior Desenvolupament d Aplicacions Informàtiques D06 PROGRAMMING with JAVA Ch20 Data Structures I PowerPoint presentation, created by Angel A. Juan - ajuanp(@)gmail.com, for
More informationCmpSci 187: Programming with Data Structures Spring 2015
CmpSci 187: Programming with Data Structures Spring 2015 Lecture #12 John Ridgway March 10, 2015 1 Implementations of Queues 1.1 Linked Queues A Linked Queue Implementing a queue with a linked list is
More informationKrishna Institute of Engineering & Technology, Ghaziabad Department of Computer Application MCA-213 : DATA STRUCTURES USING C
Tutorial#1 Q 1:- Explain the terms data, elementary item, entity, primary key, domain, attribute and information? Also give examples in support of your answer? Q 2:- What is a Data Type? Differentiate
More informationChapter 8: Bags and Sets
Chapter 8: Bags and Sets In the stack and the queue abstractions, the order that elements are placed into the container is important, because the order elements are removed is related to the order in which
More informationSystem Software Prof. Dr. H. Mössenböck
System Software Prof. Dr. H. Mössenböck 1. Memory Management 2. Garbage Collection 3. Linkers and Loaders 4. Debuggers 5. Text Editors Marks obtained by end-term exam http://ssw.jku.at/misc/ssw/ 1. Memory
More informationSequences in the C++ STL
CS 311 Data Structures and Algorithms Lecture Slides Wednesday, November 4, 2009 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks CHAPPELLG@member.ams.org 2005 2009 Glenn
More informationECE 250 Data Structures and Algorithms MIDTERM EXAMINATION 2008-10-23/5:15-6:45 REC-200, EVI-350, RCH-106, HH-139
ECE 250 Data Structures and Algorithms MIDTERM EXAMINATION 2008-10-23/5:15-6:45 REC-200, EVI-350, RCH-106, HH-139 Instructions: No aides. Turn off all electronic media and store them under your desk. If
More informationData Structures. Level 6 C30151. www.fetac.ie. Module Descriptor
The Further Education and Training Awards Council (FETAC) was set up as a statutory body on 11 June 2001 by the Minister for Education and Science. Under the Qualifications (Education & Training) Act,
More informationAlgorithms and Data Structures
Algorithms and Data Structures Part 2: Data Structures PD Dr. rer. nat. habil. Ralf-Peter Mundani Computation in Engineering (CiE) Summer Term 2016 Overview general linked lists stacks queues trees 2 2
More informationCourse: Programming II - Abstract Data Types. The ADT Stack. A stack. The ADT Stack and Recursion Slide Number 1
Definition Course: Programming II - Abstract Data Types The ADT Stack The ADT Stack is a linear sequence of an arbitrary number of items, together with access procedures. The access procedures permit insertions
More information5. A full binary tree with n leaves contains [A] n nodes. [B] log n 2 nodes. [C] 2n 1 nodes. [D] n 2 nodes.
1. The advantage of.. is that they solve the problem if sequential storage representation. But disadvantage in that is they are sequential lists. [A] Lists [B] Linked Lists [A] Trees [A] Queues 2. The
More informationChapter 14 The Binary Search Tree
Chapter 14 The Binary Search Tree In Chapter 5 we discussed the binary search algorithm, which depends on a sorted vector. Although the binary search, being in O(lg(n)), is very efficient, inserting a
More information22c:31 Algorithms. Ch3: Data Structures. Hantao Zhang Computer Science Department http://www.cs.uiowa.edu/~hzhang/c31/
22c:31 Algorithms Ch3: Data Structures Hantao Zhang Computer Science Department http://www.cs.uiowa.edu/~hzhang/c31/ Linear Data Structures Now we can now explore some convenient techniques for organizing
More informationLinked Lists: Implementation Sequences in the C++ STL
Linked Lists: Implementation Sequences in the C++ STL continued CS 311 Data Structures and Algorithms Lecture Slides Wednesday, April 1, 2009 Glenn G. Chappell Department of Computer Science University
More informationrecursion, O(n), linked lists 6/14
recursion, O(n), linked lists 6/14 recursion reducing the amount of data to process and processing a smaller amount of data example: process one item in a list, recursively process the rest of the list
More informationUnordered Linked Lists
Unordered Linked Lists Derive class unorderedlinkedlist from the abstract class linkedlisttype Implement the operations search, insertfirst, insertlast, deletenode See code on page 292 Defines an unordered
More informationIndustrial Programming
Industrial Programming Systems Programming & Scripting Lecture 11: Systems Programming in C# Industrial Programming 1 Characteristics of System Programming in C# Build algorithms and data structures from
More informationData Structures and Data Manipulation
Data Structures and Data Manipulation What the Specification Says: Explain how static data structures may be used to implement dynamic data structures; Describe algorithms for the insertion, retrieval
More informationOrdered Lists and Binary Trees
Data Structures and Algorithms Ordered Lists and Binary Trees Chris Brooks Department of Computer Science University of San Francisco Department of Computer Science University of San Francisco p.1/62 6-0:
More informationCourse: Programming II - Abstract Data Types. The ADT Queue. (Bobby, Joe, Sue, Ellen) Add(Ellen) Delete( ) The ADT Queues Slide Number 1
Definition Course: Programming II - Abstract Data Types The ADT Queue The ADT Queue is a linear sequence of an arbitrary number of items, together with access procedures. The access procedures permit addition
More informationBinary Heap Algorithms
CS Data Structures and Algorithms Lecture Slides Wednesday, April 5, 2009 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks CHAPPELLG@member.ams.org 2005 2009 Glenn G. Chappell
More informationCS 111 Classes I 1. Software Organization View to this point:
CS 111 Classes I 1 Software Organization View to this point: Data Objects and primitive types Primitive types operators (+, /,,*, %). int, float, double, char, boolean Memory location holds the data Objects
More informationCS104: Data Structures and Object-Oriented Design (Fall 2013) October 24, 2013: Priority Queues Scribes: CS 104 Teaching Team
CS104: Data Structures and Object-Oriented Design (Fall 2013) October 24, 2013: Priority Queues Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we learned about the ADT Priority Queue. A
More informationSample Questions Csci 1112 A. Bellaachia
Sample Questions Csci 1112 A. Bellaachia Important Series : o S( N) 1 2 N N i N(1 N) / 2 i 1 o Sum of squares: N 2 N( N 1)(2N 1) N i for large N i 1 6 o Sum of exponents: N k 1 k N i for large N and k
More informationThis lecture. Abstract data types Stacks Queues. ADTs, Stacks, Queues 1. 2004 Goodrich, Tamassia
This lecture Abstract data types Stacks Queues ADTs, Stacks, Queues 1 Abstract Data Types (ADTs) An abstract data type (ADT) is an abstraction of a data structure An ADT specifies: Data stored Operations
More informationUniversidad Carlos III de Madrid
Universidad Carlos III de Madrid Algorithms and Data Structures (ADS) Bachelor in Informatics Engineering Computer Science Department Lists, Stacks and Queues. Authors: Isabel Segura Bedmar April 2011
More informationLinked Lists, Stacks, Queues, Deques. It s time for a chainge!
Linked Lists, Stacks, Queues, Deques It s time for a chainge! Learning Goals After this unit, you should be able to... Differentiate an abstraction from an implementation. Define and give examples of problems
More informationData Structures and Algorithms Stacks and Queues
Data Structures and Algorithms Stacks and Queues Chris Brooks Department of Computer Science University of San Francisco Department of Computer Science University of San Francisco p.1/23 6-0: Stacks and
More informationData Types. Abstract Data Types. ADTs as Design Tool. Abstract Data Types. Integer ADT. Principle of Abstraction
bstract ata Types Previous lectures: algorithms and their efficiency analysis. oming lectures: data structures In this lecture: bstract data types Ts as a design tool Examples: integer T, List T ata Types
More informationData Structures and Algorithms Written Examination
Data Structures and Algorithms Written Examination 22 February 2013 FIRST NAME STUDENT NUMBER LAST NAME SIGNATURE Instructions for students: Write First Name, Last Name, Student Number and Signature where
More informationKITES TECHNOLOGY COURSE MODULE (C, C++, DS)
KITES TECHNOLOGY 360 Degree Solution www.kitestechnology.com/academy.php info@kitestechnology.com technologykites@gmail.com Contact: - 8961334776 9433759247 9830639522.NET JAVA WEB DESIGN PHP SQL, PL/SQL
More informationLearning Outcomes. COMP202 Complexity of Algorithms. Binary Search Trees and Other Search Trees
Learning Outcomes COMP202 Complexity of Algorithms Binary Search Trees and Other Search Trees [See relevant sections in chapters 2 and 3 in Goodrich and Tamassia.] At the conclusion of this set of lecture
More informationCHAPTER 4 ESSENTIAL DATA STRUCTRURES
CHAPTER 4 ESSENTIAL DATA STRUCTURES 72 CHAPTER 4 ESSENTIAL DATA STRUCTRURES In every algorithm, there is a need to store data. Ranging from storing a single value in a single variable, to more complex
More informationLecture Notes on Binary Search Trees
Lecture Notes on Binary Search Trees 15-122: Principles of Imperative Computation Frank Pfenning André Platzer Lecture 17 October 23, 2014 1 Introduction In this lecture, we will continue considering associative
More informationGlossary of Object Oriented Terms
Appendix E Glossary of Object Oriented Terms abstract class: A class primarily intended to define an instance, but can not be instantiated without additional methods. abstract data type: An abstraction
More informationIntroduction to Data Structures and Algorithms
Introduction to Data Structures and Algorithms Chapter: Elementary Data Structures(1) Lehrstuhl Informatik 7 (Prof. Dr.-Ing. Reinhard German) Martensstraße 3, 91058 Erlangen Overview on simple data structures
More informationMAX = 5 Current = 0 'This will declare an array with 5 elements. Inserting a Value onto the Stack (Push) -----------------------------------------
=============================================================================================================================== DATA STRUCTURE PSEUDO-CODE EXAMPLES (c) Mubashir N. Mir - www.mubashirnabi.com
More informationData Structures UNIT III. Model Question Answer
Data Structures UNIT III Model Question Answer Q.1. Define Stack? What are the different primitive operations on Stack? Ans: Stack: A stack is a linear structure in which items may be added or removed
More informationThe Tower of Hanoi. Recursion Solution. Recursive Function. Time Complexity. Recursive Thinking. Why Recursion? n! = n* (n-1)!
The Tower of Hanoi Recursion Solution recursion recursion recursion Recursive Thinking: ignore everything but the bottom disk. 1 2 Recursive Function Time Complexity Hanoi (n, src, dest, temp): If (n >
More informationAPI for java.util.iterator. ! hasnext() Are there more items in the list? ! next() Return the next item in the list.
Sequences and Urns 2.7 Lists and Iterators Sequence. Ordered collection of items. Key operations. Insert an item, iterate over the items. Design challenge. Support iteration by client, without revealing
More informationData Structures and Algorithms
Data Structures and Algorithms CS245-2016S-06 Binary Search Trees David Galles Department of Computer Science University of San Francisco 06-0: Ordered List ADT Operations: Insert an element in the list
More informationA binary search tree or BST is a binary tree that is either empty or in which the data element of each node has a key, and:
Binary Search Trees 1 The general binary tree shown in the previous chapter is not terribly useful in practice. The chief use of binary trees is for providing rapid access to data (indexing, if you will)
More informationAP Computer Science AB Syllabus 1
AP Computer Science AB Syllabus 1 Course Resources Java Software Solutions for AP Computer Science, J. Lewis, W. Loftus, and C. Cocking, First Edition, 2004, Prentice Hall. Video: Sorting Out Sorting,
More informationCircular Linked List. Algorithms and Data Structures
Circular Linked List EENG212 Algorithms and Data Structures Circular Linked Lists In linear linked lists if a list is traversed (all the elements visited) an external pointer to the listmust be preserved
More information\Mankinds's progress is measured by the number of. Elementary data structures such as stacks, queues,
Elementary Data Structures \Mankinds's progress is measured by the number of things we can do without thinking." Elementary data structures such as stacks, queues, lists, and heaps will be the \of-the-shelf"
More informationIntroduction to Object-Oriented Programming
Introduction to Object-Oriented Programming Linked Lists Christopher Simpkins chris.simpkins@gatech.edu CS 1331 (Georgia Tech) Linked Lists 1 / 12 Linked Lists Dynamic data structures Singly linked lists
More informationQUEUES. Primitive Queue operations. enqueue (q, x): inserts item x at the rear of the queue q
QUEUES A queue is simply a waiting line that grows by adding elements to its end and shrinks by removing elements from the. Compared to stack, it reflects the more commonly used maxim in real-world, namely,
More informationBasic Data Structures and Algorithms
Tutorial 3 Basic Data Structures and Algorithms THINGS TO LOOK FOR 3.0 INTRODUCTION 3.1 Array Based Containers Definition and uses of containers. Array and list based containers. Designing and building
More informationBig O and Limits Abstract Data Types Data Structure Grand Tour. http://gcc.gnu.org/onlinedocs/libstdc++/images/pbds_different_underlying_dss_1.
Big O and Limits Abstract Data Types Data Structure Grand Tour http://gcc.gnu.org/onlinedocs/libstdc++/images/pbds_different_underlying_dss_1.png Consider the limit lim n f ( n) g ( n ) What does it
More informationSingly linked lists (continued...)
Singly linked lists (continued...) I began the lecture by discussing two more methods that are commonly defined for linked lists, namely adding or removing an element at the back of the list. This requires
More informationUnit 1. 5. Write iterative and recursive C functions to find the greatest common divisor of two integers. [6]
Unit 1 1. Write the following statements in C : [4] Print the address of a float variable P. Declare and initialize an array to four characters a,b,c,d. 2. Declare a pointer to a function f which accepts
More informationThe ADT Binary Search Tree
The ADT Binary Search Tree The Binary Search Tree is a particular type of binary tree that enables easy searching for specific items. Definition The ADT Binary Search Tree is a binary tree which has an
More informationKeys and records. Binary Search Trees. Data structures for storing data. Example. Motivation. Binary Search Trees
Binary Search Trees Last lecture: Tree terminology Kinds of binary trees Size and depth of trees This time: binary search tree ADT Java implementation Keys and records So far most examples assumed that
More informationOrganization of Programming Languages CS320/520N. Lecture 05. Razvan C. Bunescu School of Electrical Engineering and Computer Science bunescu@ohio.
Organization of Programming Languages CS320/520N Razvan C. Bunescu School of Electrical Engineering and Computer Science bunescu@ohio.edu Names, Bindings, and Scopes A name is a symbolic identifier used
More informationLinked Lists Linked Lists, Queues, and Stacks
Linked Lists Linked Lists, Queues, and Stacks CSE 10: Introduction to C Programming Fall 200 Dynamic data structure Size is not fixed at compile time Each element of a linked list: holds a value points
More informationJava Software Structures
INTERNATIONAL EDITION Java Software Structures Designing and Using Data Structures FOURTH EDITION John Lewis Joseph Chase This page is intentionally left blank. Java Software Structures,International Edition
More informationTwo Parts. Filesystem Interface. Filesystem design. Interface the user sees. Implementing the interface
File Management Two Parts Filesystem Interface Interface the user sees Organization of the files as seen by the user Operations defined on files Properties that can be read/modified Filesystem design Implementing
More informationOutline. The Stack ADT Applications of Stacks Array-based implementation Growable array-based stack. Stacks 2
Stacks Outline The Stack ADT Applications of Stacks Array-based implementation Growable array-based stack Stacks 2 Abstract Data Types (ADTs) An abstract data type (ADT) is an abstraction of a data structure
More informationData Structures Using C++
Data Structures Using C++ 1.1 Introduction Data structure is an implementation of an abstract data type having its own set of data elements along with functions to perform operations on that data. Arrays
More informationAtmiya Infotech Pvt. Ltd. Data Structure. By Ajay Raiyani. Yogidham, Kalawad Road, Rajkot. Ph : 572365, 576681 1
Data Structure By Ajay Raiyani Yogidham, Kalawad Road, Rajkot. Ph : 572365, 576681 1 Linked List 4 Singly Linked List...4 Doubly Linked List...7 Explain Doubly Linked list: -...7 Circular Singly Linked
More informationCSE 326, Data Structures. Sample Final Exam. Problem Max Points Score 1 14 (2x7) 2 18 (3x6) 3 4 4 7 5 9 6 16 7 8 8 4 9 8 10 4 Total 92.
Name: Email ID: CSE 326, Data Structures Section: Sample Final Exam Instructions: The exam is closed book, closed notes. Unless otherwise stated, N denotes the number of elements in the data structure
More informationProject 4 DB A Simple database program
Project 4 DB A Simple database program Due Date April (Friday) Before Starting the Project Read this entire project description before starting Learning Objectives After completing this project you should
More informationBinary Search Trees. A Generic Tree. Binary Trees. Nodes in a binary search tree ( B-S-T) are of the form. P parent. Key. Satellite data L R
Binary Search Trees A Generic Tree Nodes in a binary search tree ( B-S-T) are of the form P parent Key A Satellite data L R B C D E F G H I J The B-S-T has a root node which is the only node whose parent
More informationStack & Queue. Darshan Institute of Engineering & Technology. Explain Array in detail. Row major matrix No of Columns = m = u2 b2 + 1
Stack & Queue Explain Array in detail One Dimensional Array Simplest data structure that makes use of computed address to locate its elements is the onedimensional array or vector; number of memory locations
More informationCSE 211: Data Structures Lecture Notes VII
CSE 211: Data Structures Lecture Notes VII LINKED LISTS In the previous lectures we have seen the representation of ordered lists using an array and sequential mapping. These representations had the property
More informationIntroduction to data structures
Notes 2: Introduction to data structures 2.1 Recursion 2.1.1 Recursive functions Recursion is a central concept in computation in which the solution of a problem depends on the solution of smaller copies
More informationBinary Search Trees. Data in each node. Larger than the data in its left child Smaller than the data in its right child
Binary Search Trees Data in each node Larger than the data in its left child Smaller than the data in its right child FIGURE 11-6 Arbitrary binary tree FIGURE 11-7 Binary search tree Data Structures Using
More informationTECHNICAL UNIVERSITY OF CRETE DATA STRUCTURES FILE STRUCTURES
TECHNICAL UNIVERSITY OF CRETE DEPT OF ELECTRONIC AND COMPUTER ENGINEERING DATA STRUCTURES AND FILE STRUCTURES Euripides G.M. Petrakis http://www.intelligence.tuc.gr/~petrakis Chania, 2007 E.G.M. Petrakis
More informationAlgorithms and Data Structures Exercise for the Final Exam (17 June 2014) Stack, Queue, Lists, Trees, Heap
Algorithms and Data Structures Exercise for the Final Exam (17 June 2014) Stack, Queue, Lists, Trees, Heap Singly linked list (1) Data about exam results are stored into a singly linked list. Each list
More informationBinary Search Trees (BST)
Binary Search Trees (BST) 1. Hierarchical data structure with a single reference to node 2. Each node has at most two child nodes (a left and a right child) 3. Nodes are organized by the Binary Search
More informationMasters programmes in Computer Science and Information Systems. Object-Oriented Design and Programming. Sample module entry test xxth December 2013
Masters programmes in Computer Science and Information Systems Object-Oriented Design and Programming Sample module entry test xxth December 2013 This sample paper has more questions than the real paper
More informationZabin Visram Room CS115 CS126 Searching. Binary Search
Zabin Visram Room CS115 CS126 Searching Binary Search Binary Search Sequential search is not efficient for large lists as it searches half the list, on average Another search algorithm Binary search Very
More informationPrevious Lectures. B-Trees. External storage. Two types of memory. B-trees. Main principles
B-Trees Algorithms and data structures for external memory as opposed to the main memory B-Trees Previous Lectures Height balanced binary search trees: AVL trees, red-black trees. Multiway search trees:
More informationCSE373: Data Structures and Algorithms Lecture 1: Introduction; ADTs; Stacks/Queues. Linda Shapiro Spring 2016
CSE373: Data Structures and Algorithms Lecture 1: Introduction; ADTs; Stacks/Queues Linda Shapiro Registration We have 180 students registered and others who want to get in. If you re thinking of dropping
More information