Abstract Data Type: Stack

Size: px
Start display at page:

Download "Abstract Data Type: Stack"

Transcription

1 Abstract Data Type: Stack Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations push() Pushing (storing) an element on the stack. pop() Removing (accessing) an element from the stack. To use a stack efficiently, we need to check the status of stack as well. For the same purpose, the following functionality is added to stacks isfull() check if stack is full. isempty() check if stack is empty. Algorithm of isfull() function begin procedure isfull if top equals to MAXSIZE return false Algorithm of isempty() function begin procedure isempty if top less than 0 return false

2 Algorithm for Push() function begin procedure push: stack, data if stack is full return null top top + 1 stack[top] data Algorithm for Push() function begin procedure pop: stack if stack is empty return null data stack[top] top top - 1 return data Abstract Data Type: Queue A Queue contains elements of same type arranged in sequential order. Operations takes place at both ends, insertion is done at end and deletion is done at front. Following operations can be performed: enqueue() Insert an element at the end of the queue. dequeue() Remove and return the first element of queue, if the queue is not empty. isempty() Return true if the queue is empty, otherwise return false. isfull() Return true if the queue is full, otherwise return false.

3 Algorithm for isfull() operation: begin procedure isfull if rear equals to MAXSIZE return false Algorithm for isempty() operation: begin procedure isempty if front is less than MIN OR front is greater than rear return false Algorithm for enqueue operation: procedure enqueue(data) if queue is full return overflow rear rear + 1 queue[rear] data

4 Algorithm for dequeue operation: procedure dequeue if queue is empty return underflow end if data = queue[front] front front + 1 Algorithm for Tower of Hanoi problem Procedure Hanoi(disk, source, dest, aux) IF disk == 1, THEN move disk from source to dest ELSE Hanoi(disk - 1, source, aux, dest) // Step 1 move disk from source to dest // Step 2 Hanoi(disk - 1, aux, dest, source) // Step 3 END IF END Procedure All algorithms must satisfy the following criteria: 1. Zero or more input values 2. One or more output values 3. Clear and unambiguous instructions 4. Atomic steps that take constant time 5. No infinite sequence of steps (help, the halting problem) 6. Feasible with specified computational device

5 Representing 2-D Array using Row-major order representation and calculating address for data access Address Calculation Formula: Matrix[i][j] = B + (i * n + j ) * w Where, B = Base Address i,j = data in i th row, j th column n = no. of columns w = sizeof (Data_type) C program to perform Selection Sort on a set of unsorted elements void swap(int *xp, int *yp) int temp = *xp; *xp = *yp; *yp = temp; void selectionsort(int arr[], int n) int i, j, min; for (i = 0; i < n-1; i++) min = i; for (j = i+1; j < n; j++) if (arr[j] < arr[min]) min = j; swap(&arr[min], &arr[i]); void printarray(int arr[], int size)

6 int i; for (i=0; i < size; i++) printf("%d ", arr[i]); printf("\n"); int main() int arr[] = 64, 25, 12, 22, 11; int n = sizeof(arr)/sizeof(arr[0]); selectionsort(arr, n); printf("sorted array: \n"); printarray(arr, n); return 0; C program to perform Bubble Sort on a set of unsorted elements void swap(int *xp, int *yp) int temp = *xp; *xp = *yp; *yp = temp; // A function to implement bubble sort void bubblesort(int arr[], int n) int i, j; for (i = 0; i < n-1; i++) // Last i elements are already in place for (j = 0; j < n-i-1; j++)

7 if (arr[j] > arr[j+1]) swap(&arr[j], &arr[j+1]); /* Function to print an array */ void printarray(int arr[], int size) int i; for (i=0; i < size; i++) printf("%d ", arr[i]); printf("n"); // Driver program to test above functions int main() int arr[] = 64, 34, 25, 12, 22, 11, 90; int n = sizeof(arr)/sizeof(arr[0]); bubblesort(arr, n); printf("sorted array: \n"); printarray(arr, n); return 0;

8 C program to search an element in an array using Binary Search algorithm (Recursive) #include <stdio.h> int binarysearch(int arr[], int l, int h, int num) if (h >= l) int mid = l + (h - l)/2; if (arr[mid] == num) return mid; if (arr[mid] > num) return -1; int main( ) return binarysearch(arr, l, mid-1, num); return binarysearch(arr, mid+1, h, num); int arr[] = 2, 3, 4, 10, 40; int size = sizeof(arr)/ sizeof(arr[0]); int num = 10; int result = binarysearch(arr, 0, size-1, num); if (result == -1) printf("element is not present in array") printf("element is present at index %d", result); return 0;

9 C program to search an element in an array using Binary Search algorithm (Iterative) int binarysearch(int arr[], int l, int h, int num) while (l <= h) int mid = l + (h-l)/2; if (arr[mid] == num) return mid; if (arr[mid] < num) l = mid + 1; h = mid - 1; return -1; int main(void) int arr[] = 2, 3, 4, 10, 40; int size = sizeof(arr)/ sizeof(arr[0]); int num = 10; int result = binarysearch(arr, 0, size-1, num); if (result == -1) printf("element is not present in array") printf("element is present at index %d", result); return 0;

10

Queue: Queue Representation: Basic Operations:

Queue: Queue Representation: Basic Operations: Queue: Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove

More information

UNIT-2 Stack & Queue

UNIT-2 Stack & Queue UNIT-2 Stack & Queue 59 13. Stack A stack is an Abstract Data Type (ADT), commonly used in most programming languages. It is named stack as it behaves like a real-world stack, for example a deck of cards

More information

MTH 307/417/515 Final Exam Solutions

MTH 307/417/515 Final Exam Solutions MTH 307/417/515 Final Exam Solutions 1. Write the output for the following programs. Explain the reasoning behind your answer. (a) #include int main() int n; for(n = 7; n!= 0; n--) printf("n =

More information

Lecture Data Structure Stack

Lecture Data Structure Stack Lecture Data Structure Stack 1.A stack :-is an abstract Data Type (ADT), commonly used in most programming languages. It is named stack as it behaves like a real-world stack, for example a deck of cards

More information

CS302 - Data Structures using C++

CS302 - Data Structures using C++ CS302 - Data Structures using C++ Topic: Recursion - Examples Kostas Alexis CS302 - Data Structures using C++ Topic: The Binary Search Kostas Alexis The Binary Search Assumes and exploits that the input

More information

SVN - BRANCHING. Now Jerry is working in his private branch. He adds sort operation for the array. Jerry's modified code looks like this.

SVN - BRANCHING. Now Jerry is working in his private branch. He adds sort operation for the array. Jerry's modified code looks like this. http://www.tutorialspoint.com/svn/svn_branching.htm SVN - BRANCHING Copyright tutorialspoint.com Branch operation creates another line of development. It is useful when someone wants the development process

More information

LECTURE 17. Array Searching and Sorting

LECTURE 17. Array Searching and Sorting LECTURE 17 Array Searching and Sorting ARRAY SEARCHING AND SORTING Today we ll be covering some of the more common ways for searching through an array to find an item, as well as some common ways to sort

More information

CS6202 - PROGRAMMING & DATA STRUCTURES I Unit IV Part - A 1. Define Stack. A stack is an ordered list in which all insertions and deletions are made at one end, called the top. It is an abstract data type

More information

Introduction to Data Structures and Algorithms

Introduction to Data Structures and Algorithms Introduction to Data Structures and Algorithms Data Structure is a way of collecting and organising data in such a way that we can perform operations on these data in an effective way. Data Structures

More information

Linked List Tree Graph. Stack, Queue etc.

Linked List Tree Graph. Stack, Queue etc. Introduction to Data Structures Data Structure is a way of collecting and organising data in such a way that we can perform operations on these data in an effective way. Data Structures is about rendering

More information

DS Assignment II. Full Sized Image

DS Assignment II. Full Sized Image DS Assignment II 1. A) For the Towers of Hanoi problem, show the call tree during the recursive call Towers(3, A, C, B). In the tree, label the root node as Towers (3, A, C, B) while marking all the intermediate

More information

A. Year / Module Semester Subject Topic 2016 / V 2 PCD Pointers, Preprocessors, DS

A. Year / Module Semester Subject Topic 2016 / V 2 PCD Pointers, Preprocessors, DS Syllabus: Pointers and Preprocessors: Pointers and address, pointers and functions (call by reference) arguments, pointers and arrays, address arithmetic, character pointer and functions, pointers to pointer,initialization

More information

BBM 201 DATA STRUCTURES

BBM 201 DATA STRUCTURES BBM 201 DATA STRUCTURES Lecture 5: Stacks and Queues 2017 Fall Stacks A list on which insertion and deletion can be performed. Based on Last-in-First-out (LIFO) Stacks are used for a number of applications:

More information

DEEPIKA KAMBOJ UNIT 2. What is Stack?

DEEPIKA KAMBOJ UNIT 2. What is Stack? What is Stack? UNIT 2 Stack is an important data structure which stores its elements in an ordered manner. You must have seen a pile of plates where one plate is placed on top of another. Now, when you

More information

Stack. Data structure with Last-In First-Out (LIFO) behavior. Out

Stack. Data structure with Last-In First-Out (LIFO) behavior. Out Stack and Queue 1 Stack Data structure with Last-In First-Out (LIFO) behavior In Out C B A B C 2 Typical Operations Pop on Stack Push isempty: determines if the stack has no elements isfull: determines

More information

Lecture 3: Stacks & Queues

Lecture 3: Stacks & Queues Lecture 3: Stacks & Queues Prakash Gautam https://prakashgautam.com.np/dipit02/ info@prakashgautam.com.np 22 March, 2018 Objectives Definition: Stacks & Queues Operations of Stack & Queues Implementation

More information

Arrays and Applications

Arrays and Applications Arrays and Applications 60-141: Introduction to Algorithms and Programming II School of Computer Science Term: Summer 2014 Instructor: Dr. Asish Mukhopadhyay What s an array Let a 0, a 1,, a n-1 be a sequence

More information

A6-R3: DATA STRUCTURE THROUGH C LANGUAGE

A6-R3: DATA STRUCTURE THROUGH C LANGUAGE A6-R3: DATA STRUCTURE THROUGH C LANGUAGE NOTE: 1. There are TWO PARTS in this Module/Paper. PART ONE contains FOUR questions and PART TWO contains FIVE questions. 2. PART ONE is to be answered in the TEAR-OFF

More information

CS171 Midterm Exam. October 29, Name:

CS171 Midterm Exam. October 29, Name: CS171 Midterm Exam October 29, 2012 Name: You are to honor the Emory Honor Code. This is a closed-book and closed-notes exam. You have 50 minutes to complete this exam. Read each problem carefully, and

More information

COMP 213 Advanced Object-oriented Programming Lecture 8 The Queue ADT (cont.)

COMP 213 Advanced Object-oriented Programming Lecture 8 The Queue ADT (cont.) COMP 213 Advanced Object-oriented Programming Lecture 8 The Queue ADT (cont.) Recall: The Queue ADT A data structure in which elements enter at one end and are removed from the opposite end is called a

More information

BBM 201 DATA STRUCTURES

BBM 201 DATA STRUCTURES BBM 201 DATA STRUCTURES Lecture 6: Stacks and Queues 2015-2016 Fall Stacks A list on which insertion and deletion can be performed. Based on Last-in-First-out (LIFO) Stacks are used for a number of applications:

More information

Linked List. April 2, 2007 Programming and Data Structure 1

Linked List. April 2, 2007 Programming and Data Structure 1 Linked List April 2, 2007 Programming and Data Structure 1 Introduction head A linked list is a data structure which can change during execution. Successive elements are connected by pointers. Last element

More information

THE UNIVERSITY OF WESTERN AUSTRALIA

THE UNIVERSITY OF WESTERN AUSTRALIA THE UNIVERSITY OF WESTERN AUSTRALIA MID SEMESTER EXAMINATION April 2016 SCHOOL OF COMPUTER SCIENCE & SOFTWARE ENGINEERING DATA STRUCTURES AND ALGORITHMS CITS2200 This Paper Contains: 6 Pages 10 Questions

More information

Stack and Queue. Stack:

Stack and Queue. Stack: Stack and Queue Stack: Abstract Data Type A stack is a container of objects that are inserted and removed according to the last-in first-out (LIFO) principle. In the pushdown stacks only two operations

More information

Lecture 4 Stack and Queue

Lecture 4 Stack and Queue Lecture 4 Stack and Queue Bo Tang @ SUSTech, Spring 2018 Our Roadmap Stack Queue Stack vs. Queue 2 Stack A stack is a sequence in which: Items can be added and removed only at one end (the top) You can

More information

ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 )

ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 ) ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 ) Unit - 2 By: Gurpreet Singh Dean Academics & H.O.D. (C.S.E. / I.T.) Yamuna Institute of Engineering & Technology, Gadholi What is a Stack? A stack is a

More information

Announcement. Submit assignment 3 on CourSys Do not hand in hard copy Due Friday, 15:20:00. Caution: Assignment 4 will be due next Wednesday

Announcement. Submit assignment 3 on CourSys Do not hand in hard copy Due Friday, 15:20:00. Caution: Assignment 4 will be due next Wednesday Announcement Submit assignment 3 on CourSys Do not hand in hard copy Due Friday, 15:20:00 Caution: Assignment 4 will be due next Wednesday Recursion Examples and Simple Searching CMPT 125 Jan. 28 Recursion

More information

Two abstract data types. performed on them) Stacks Last In First Out (LIFO) Queues First In First Out (FIFO)

Two abstract data types. performed on them) Stacks Last In First Out (LIFO) Queues First In First Out (FIFO) Two abstract data types o Can be implemented using arrays or linked lists o Restricted lists (only a small number of operations are performed on them) Stacks Last In First Out (LIFO) Queues First In First

More information

Sample Question Paper

Sample Question Paper Scheme - I Sample Question Paper Marks : 70 Time: 3 Hrs. Q.1) Attempt any FIVE of the following. 10 Marks a. Write any four applications of data structure. b. Sketch the diagram of circular queue. c. State

More information

Computers in Engineering COMP 208. Where s Waldo? Linear Search. Searching and Sorting Michael A. Hawker

Computers in Engineering COMP 208. Where s Waldo? Linear Search. Searching and Sorting Michael A. Hawker Computers in Engineering COMP 208 Searching and Sorting Michael A. Hawker Where s Waldo? A common use for computers is to search for the whereabouts of a specific item in a list The most straightforward

More information

Linear Data Structure

Linear Data Structure Linear Data Structure Definition A data structure is said to be linear if its elements form a sequence or a linear list. Examples: Array Linked List Stacks Queues Operations on linear Data Structures Traversal

More information

Esc101 Mid Semester Exam - II

Esc101 Mid Semester Exam - II Esc101 Mid Semester Exam - II Time Allowed: 1 Hour Max Marks: 75 Instructions: 1. Do not turn this page until the bell rings. 2. YOU MUST WRITE YOUR NAME, ROLL NUMBER & SECTION ON EACH SHEET. 3. Please

More information

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION Important Instructions to examiners: 1) The answers should be examined by key words and not as word-to-word as given in themodel answer scheme. 2) The model answer and the answer written by candidate may

More information

Where does the insert method place the new entry in the array? Assume array indexing starts from 0(zero).

Where does the insert method place the new entry in the array? Assume array indexing starts from 0(zero). Suppose we have a circular array implementation of the queue,with ten items in the queue stored at data[2] through data[11]. The current capacity of an array is 12. Where does the insert method place the

More information

Measuring algorithm efficiency

Measuring algorithm efficiency CMPT 225 Measuring algorithm efficiency Timing Counting Cost functions Cases Best case Average case Worst case Searching Sorting O Notation O notation's mathematical basis O notation classes and notations

More information

Arrays and functions Multidimensional arrays Sorting and algorithm efficiency

Arrays and functions Multidimensional arrays Sorting and algorithm efficiency Introduction Fundamentals Declaring arrays Indexing arrays Initializing arrays Arrays and functions Multidimensional arrays Sorting and algorithm efficiency An array is a sequence of values of the same

More information

Data Structure & Algorithms Laboratory Manual (CS 392)

Data Structure & Algorithms Laboratory Manual (CS 392) Institute of Engineering & Management Department of Computer Science & Engineering Data Structure Laboratory for 2 nd year 3 rd semester Code: CS 392 Data Structure & Algorithms Laboratory Manual (CS 392)

More information

LIFO : Last In First Out

LIFO : Last In First Out Introduction Stack is an ordered list in which all insertions and deletions are made at one end, called the top. Stack is a data structure that is particularly useful in applications involving reversing.

More information

DC104 DATA STRUCTURE JUNE Q.2 a. If you are using C language to implement the heterogeneous linked list, what pointer type will you use?

DC104 DATA STRUCTURE JUNE Q.2 a. If you are using C language to implement the heterogeneous linked list, what pointer type will you use? Q.2 a. If you are using C language to implement the heterogeneous linked list, what pointer type will you use? The heterogeneous linked list contains different data types in its nodes and we need a link

More information

1. Write step by step code to delete element from existing Doubly Linked List. Suppose that all declarations are done

1. Write step by step code to delete element from existing Doubly Linked List. Suppose that all declarations are done 1. Write step by step code to delete element from existing Doubly Linked List. Suppose that all declarations are done. first NULL 42 A A 13 A A 6 NULL Write code here first NULL 42 A A 13 A A 6 NULL p

More information

Name CPTR246 Spring '17 (100 total points) Exam 3

Name CPTR246 Spring '17 (100 total points) Exam 3 Name CPTR246 Spring '17 (100 total points) Exam 3 1. Linked Lists Consider the following linked list of integers (sorted from lowest to highest) and the changes described. Make the necessary changes in

More information

Solution for Data Structure

Solution for Data Structure Solution for Data Structure May 2016 INDEX Q1 a 2-3 b 4 c. 4-6 d 7 Q2- a 8-12 b 12-14 Q3 a 15-18 b 18-22 Q4- a 22-35 B..N.A Q5 a 36-38 b N.A Q6- a 39-42 b 43 1 www.brainheaters.in Q1) Ans: (a) Define ADT

More information

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified) WINTER 16 EXAMINATION Model Answer Subject Code:

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified) WINTER 16 EXAMINATION Model Answer Subject Code: Important Instructions to examiners: 1) The answers should be examined by key words and not as word-to-word as given in the model answer scheme. 2) The model answer and the answer written by candidate

More information

16.216: ECE Application Programming Spring 2015 Exam 2 Solution

16.216: ECE Application Programming Spring 2015 Exam 2 Solution 16.216: ECE Application Programming Spring 2015 Exam 2 Solution 1. (20 points, 5 points per part) Multiple choice For each of the multiple choice questions below, clearly indicate your response by circling

More information

Quadratic: the time that it takes to sort an array is proportional to the. square of the number of elements.

Quadratic: the time that it takes to sort an array is proportional to the. square of the number of elements. ITEC 136 Business Programming Concepts Week 12, Part 01 Overview 1 Week 12 Overview Week 11 review Associative Arrays Common Array Operations Inserting shifting elements right Removing shifting elements

More information

Matriculation number:

Matriculation number: Department of Informatics Prof. Dr. Michael Böhlen Binzmühlestrasse 14 8050 Zurich Phone: +41 44 635 4333 Email: boehlen@ifi.uzh.ch AlgoDat Repetition Exam Spring 2018 18.05.2018 Name: Matriculation number:

More information

KF5008 Algorithm Efficiency; Sorting and Searching Algorithms;

KF5008 Algorithm Efficiency; Sorting and Searching Algorithms; KF5008 Algorithm Efficiency; Sorting and Searching Algorithms; Efficiency: Principles An algorithm is a step-by-step procedure for solving a stated problem. The algorithm will be performed by a processor

More information

CSC 1052 Algorithms & Data Structures II: Linked Queues

CSC 1052 Algorithms & Data Structures II: Linked Queues CSC 1052 Algorithms & Data Structures II: Linked Queues Professor Henry Carter Spring 2018 Recap A queue simulates a waiting line, where objects are removed in the same order they are added The primary

More information

Answers. 1. (A) Attempt any five : 20 Marks

Answers. 1. (A) Attempt any five : 20 Marks Important Instructions to examiners: 1) The answers should be examined by key words and not as word-to-word as given in the model answer scheme. 2) The model answer and the answer written by candidate

More information

Sorting is ordering a list of objects. Here are some sorting algorithms

Sorting is ordering a list of objects. Here are some sorting algorithms Sorting Sorting is ordering a list of objects. Here are some sorting algorithms Bubble sort Insertion sort Selection sort Mergesort Question: What is the lower bound for all sorting algorithms? Algorithms

More information

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified)

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified) WINTER 18 EXAMINATION Subject Name: Data Structure using C Model wer Subject Code: 22317 Important Instructions to examiners: 1) The answers should be examined by key words and not as word-to-word as given

More information

Data Structures and Algorithms Winter Semester

Data Structures and Algorithms Winter Semester Page 0 German University in Cairo October 24, 2018 Media Engineering and Technology Faculty Prof. Dr. Slim Abdennadher Dr. Wael Abouelsadaat Data Structures and Algorithms Winter Semester 2018-2019 Midterm

More information

Structured programming

Structured programming Exercises 9 Version 1.0, 13 December, 2016 Table of Contents 1. Remainders from lectures.................................................... 1 1.1. What is a pointer?.......................................................

More information

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified)

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified) WINTER 18 EXAMINATION Subject Name: Data Structure Model wer Subject Code: 17330 Important Instructions to examiners: 1) The answers should be examined by key words and not as word-to-word as given in

More information

CS 112 Introduction to Computing II. Wayne Snyder Computer Science Department Boston University

CS 112 Introduction to Computing II. Wayne Snyder Computer Science Department Boston University CS 112 Introduction to Computing II Wayne Snyder Department Boston University Today Introduction to Linked Lists Stacks and Queues using Linked Lists Next Time Iterative Algorithms on Linked Lists Reading:

More information

Cpt S 122 Data Structures. Data Structures

Cpt S 122 Data Structures. Data Structures Cpt S 122 Data Structures Data Structures Nirmalya Roy School of Electrical Engineering and Computer Science Washington State University Topics Introduction Self Referential Structures Dynamic Memory Allocation

More information

Your favorite blog : (popularly known as VIJAY JOTANI S BLOG..now in facebook.join ON FB VIJAY

Your favorite blog :  (popularly known as VIJAY JOTANI S BLOG..now in facebook.join ON FB VIJAY Course Code : BCS-042 Course Title : Introduction to Algorithm Design Assignment Number : BCA(IV)-042/Assign/14-15 Maximum Marks : 80 Weightage : 25% Last Date of Submission : 15th October, 2014 (For July

More information

DATA STRUCTURES USING C

DATA STRUCTURES USING C DATA STRUCTURES USING C DATA STRUCTURES USING C LECTURE NOTES Prepared by Dr. Subasish Mohapatra Department of Computer Science and Application College of Engineering and Technology, Bhubaneswar Biju Patnaik

More information

INSTITUTE OF AERONAUTICAL ENGINEERING

INSTITUTE OF AERONAUTICAL ENGINEERING INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad - 500 043 COMPUTER SCIENCE AND ENGINEERING TUTORIAL QUESTION BANK Course Name Course Code Class Branch DATA STRUCTURES ACS002 B. Tech

More information

Programming Abstractions

Programming Abstractions Programming Abstractions C S 1 0 6 B Cynthia Lee Topics: Priority Queue Linked List implementation Sorted Unsorted Heap structure implementation TODAY S TOPICS NOT ON THE MIDTERM 2 Some priority queue

More information

1 P age DS & OOPS / UNIT II

1 P age DS & OOPS / UNIT II UNIT II Stacks: Definition operations - applications of stack. Queues: Definition - operations Priority queues - De que Applications of queue. Linked List: Singly Linked List, Doubly Linked List, Circular

More information

Computer Science. Section 1B

Computer Science. Section 1B Computer Science Foundation Exam August 8, 2008 Computer Science Section 1B KEY Name: SSN: Max Pts Passing Pts Category Q1 10 6 KNW Q2 8 4 CMP Q3 12 8 ANL Q4 8 6 DSN Q5 12 8 DSN Total 50 32 Score You have

More information

CSCE 2014 Final Exam Spring Version A

CSCE 2014 Final Exam Spring Version A CSCE 2014 Final Exam Spring 2017 Version A Student Name: Student UAID: Instructions: This is a two-hour exam. Students are allowed one 8.5 by 11 page of study notes. Calculators, cell phones and computers

More information

Bubble sort starts with very first two elements, comparing them to check which one is greater.

Bubble sort starts with very first two elements, comparing them to check which one is greater. Bubble Sorting: Bubble sort is a simple sorting algorithm. This sorting algorithm is comparison-based algorithm in which each pair of adjacent elements is compared and the elements are swapped if they

More information

Identify recursive algorithms Write simple recursive algorithms Understand recursive function calling

Identify recursive algorithms Write simple recursive algorithms Understand recursive function calling Recursion Identify recursive algorithms Write simple recursive algorithms Understand recursive function calling With reference to the call stack Compute the result of simple recursive algorithms Understand

More information

Computer Science Foundation Exam

Computer Science Foundation Exam Computer Science Foundation Exam January 12, 2019 Section I A DATA STRUCTURES NO books, notes, or calculators may be used, and you must work entirely on your own. Name: UCFID: NID: Question # Max Pts Category

More information

Prepared By: Ms. Nidhi Solanki (Assist. Prof.) Page 1

Prepared By: Ms. Nidhi Solanki (Assist. Prof.) Page 1 QUESTION BANK ON COURSE: 304: PRELIMINARIES: 1. What is array of pointer, explain with appropriate example? 2 2. Differentiate between call by value and call by reference, give example. 3. Explain pointer

More information

Graphs: Graph Data Structure:

Graphs: Graph Data Structure: Graphs: A graph is a pictorial representation of a set of objects where some pairs of objects are connected by links. The interconnected objects are represented by points termed as vertices, and the links

More information

Data Structure Advanced

Data Structure Advanced Data Structure Advanced 1. Is it possible to find a loop in a Linked list? a. Possilbe at O(n) b. Not possible c. Possible at O(n^2) only d. Depends on the position of loop Solution: a. Possible at O(n)

More information

CPSC 221: Algorithms and Data Structures Lecture #1: Stacks and Queues

CPSC 221: Algorithms and Data Structures Lecture #1: Stacks and Queues CPSC 221: Algorithms and Data Structures Lecture #1: Stacks and Queues Alan J. Hu (Slides borrowed from Steve Wolfman) Be sure to check course webpage! http://www.ugrad.cs.ubc.ca/~cs221 1 Lab 1 is available.

More information

MODULE V: POINTERS & PREPROCESSORS

MODULE V: POINTERS & PREPROCESSORS MODULE V: POINTERS & PREPROCESSORS INTRODUCTION As you know, every variable is a memory-location and every memory-location has its address defined which can be accessed using ampersand(&) operator, which

More information

double d0, d1, d2, d3; double * dp = new double[4]; double da[4];

double d0, d1, d2, d3; double * dp = new double[4]; double da[4]; All multiple choice questions are equally weighted. You can generally assume that code shown in the questions is intended to be syntactically correct, unless something in the question or one of the answers

More information

Computer Science First Exams Pseudocode Standard Data Structures Examples of Pseudocode

Computer Science First Exams Pseudocode Standard Data Structures Examples of Pseudocode Computer Science First Exams 2014 Pseudocode Standard Data Structures Examples of Pseudocode Candidates are NOT permitted to bring copies of this document to their examinations. 1 Introduction The purpose

More information

Queues. October 20, 2017 Hassan Khosravi / Geoffrey Tien 1

Queues. October 20, 2017 Hassan Khosravi / Geoffrey Tien 1 Queues October 20, 2017 Hassan Khosravi / Geoffrey Tien 1 Queue ADT Queue ADT should support at least the first two operations: enqueue insert an item to the back of the queue dequeue remove an item from

More information

A queue is a linear collection whose elements are added on one end and removed from the other

A queue is a linear collection whose elements are added on one end and removed from the other A queue is consistent with the general concept of a waiting line to buy movie tickets a request to print a document crawling the web to retrieve documents Adding an element Removing an element A queue

More information

C Language Part 2 Digital Computer Concept and Practice Copyright 2012 by Jaejin Lee

C Language Part 2 Digital Computer Concept and Practice Copyright 2012 by Jaejin Lee C Language Part 2 (Minor modifications by the instructor) 1 Scope Rules A variable declared inside a function is a local variable Each local variable in a function comes into existence when the function

More information

Two Dimensional Array - An array with a multiple indexs.

Two Dimensional Array - An array with a multiple indexs. LAB5 : Arrays Objectives: 1. To learn how to use C array as a counter. 2. To learn how to add an element to the array. 3. To learn how to delete an element from the array. 4. To learn how to declare two

More information

DATA STRUCTURE. 1- What data structure can be used to check if a syntax has balanced paranthesis? A - queue B - tree C - list D - stack

DATA STRUCTURE. 1- What data structure can be used to check if a syntax has balanced paranthesis? A - queue B - tree C - list D - stack DATA STRUCTURE 1- What data structure can be used to check if a syntax has balanced paranthesis? A - queue B - tree C - list D - stack Answer : D Explanation Stack uses LIFO method which is good for checking

More information

ECE 242 Fall 13 Exam I Profs. Wolf and Tessier

ECE 242 Fall 13 Exam I Profs. Wolf and Tessier ECE 242 Fall 13 Exam I Profs. Wolf and Tessier Name: ID Number: Maximum Achieved Question 1 16 Question 2 24 Question 3 18 Question 4 18 Question 5 24 Total 100 This exam is closed book, closed notes.

More information

l Determine if a number is odd or even l Determine if a number/character is in a range - 1 to 10 (inclusive) - between a and z (inclusive)

l Determine if a number is odd or even l Determine if a number/character is in a range - 1 to 10 (inclusive) - between a and z (inclusive) Final Exam Exercises Chapters 1-7 + 11 Write C++ code to: l Determine if a number is odd or even CS 2308 Fall 2016 Jill Seaman l Determine if a number/character is in a range - 1 to 10 (inclusive) - between

More information

Fun facts about recursion

Fun facts about recursion Outline examples of recursion principles of recursion review: recursive linked list methods binary search more examples of recursion problem solving using recursion 1 Fun facts about recursion every loop

More information

CPSC 221: Algorithms and Data Structures ADTs, Stacks, and Queues

CPSC 221: Algorithms and Data Structures ADTs, Stacks, and Queues CPSC 221: Algorithms and Data Structures ADTs, Stacks, and Queues Alan J. Hu (Slides borrowed from Steve Wolfman) Be sure to check course webpage! http://www.ugrad.cs.ubc.ca/~cs221 1 Lab 1 available very

More information

Stack. 4. In Stack all Operations such as Insertion and Deletion are permitted at only one end. Size of the Stack 6. Maximum Value of Stack Top 5

Stack. 4. In Stack all Operations such as Insertion and Deletion are permitted at only one end. Size of the Stack 6. Maximum Value of Stack Top 5 What is Stack? Stack 1. Stack is LIFO Structure [ Last in First Out ] 2. Stack is Ordered List of Elements of Same Type. 3. Stack is Linear List 4. In Stack all Operations such as Insertion and Deletion

More information

#06 More Structures LIFO FIFO. Contents. Queue vs. Stack 3. Stack Operations. Pop. Push. Stack Queue Hash table

#06 More Structures LIFO FIFO. Contents. Queue vs. Stack 3. Stack Operations. Pop. Push. Stack Queue Hash table Contents #06 More Structures -07 FUNDAMENTAL PROGRAMMING I Stack Queue Hash table DEPARTMENT OF COMPUTER ENGINEERING, PSU v. Queue vs. Stack Stack Operations IN IN OUT Push: add an item to the top Pop:

More information

Announcements Queues. Queues

Announcements Queues. Queues Announcements. Queues Queues A queue is consistent with the general concept of a waiting line to buy movie tickets a request to print a document crawling the web to retrieve documents A queue is a linear

More information

Algorithm for siftdown(int currentposition) while true (infinite loop) do if the currentposition has NO children then return

Algorithm for siftdown(int currentposition) while true (infinite loop) do if the currentposition has NO children then return 0. How would we write the BinaryHeap siftdown function recursively? [0] 6 [1] [] 15 10 Name: template class BinaryHeap { private: int maxsize; int numitems; T * heap;... [3] [4] [5] [6] 114 0

More information

Data Structure - Stack and Queue-

Data Structure - Stack and Queue- Data Structure - Stack and Queue- Hanyang University Jong-Il Park STACK Stack ADT List that insertions and deletions can be performed at the end of the list Operations Push(X, S): insert X in the list

More information

Lecture 7: Data Structures. EE3490E: Programming S1 2017/2018 Dr. Đào Trung Kiên Hanoi Univ. of Science and Technology

Lecture 7: Data Structures. EE3490E: Programming S1 2017/2018 Dr. Đào Trung Kiên Hanoi Univ. of Science and Technology Lecture 7: Data Structures 1 Introduction: dynamic array Conventional array in C has fix number of elements Dynamic array is array with variable number of elements: actually a pointer and a variable indicating

More information

Two Dimensional Array - An array with a multiple indexs.

Two Dimensional Array - An array with a multiple indexs. LAB5 : Arrays Objectives: 1. To learn how to use C array as a counter. 2. To learn how to add an element to the array. 3. To learn how to delete an element from the array. 4. To learn how to declare two

More information

Arrays Arrays and pointers Loops and performance Array comparison Strings. John Edgar 2

Arrays Arrays and pointers Loops and performance Array comparison Strings. John Edgar 2 CMPT 125 Arrays Arrays and pointers Loops and performance Array comparison Strings John Edgar 2 Python a sequence of data access elements with [index] index from [0] to [len-1] dynamic length heterogeneous

More information

Introduction p. 1 Pseudocode p. 2 Algorithm Header p. 2 Purpose, Conditions, and Return p. 3 Statement Numbers p. 4 Variables p. 4 Algorithm Analysis

Introduction p. 1 Pseudocode p. 2 Algorithm Header p. 2 Purpose, Conditions, and Return p. 3 Statement Numbers p. 4 Variables p. 4 Algorithm Analysis Introduction p. 1 Pseudocode p. 2 Algorithm Header p. 2 Purpose, Conditions, and Return p. 3 Statement Numbers p. 4 Variables p. 4 Algorithm Analysis p. 5 Statement Constructs p. 5 Pseudocode Example p.

More information

! A data type for which: ! An ADT may be implemented using various. ! Examples:

! A data type for which: ! An ADT may be implemented using various. ! Examples: Stacks and Queues Unit 6 Chapter 19.1-2,4-5 CS 2308 Fall 2018 Jill Seaman 1 Abstract Data Type A data type for which: - only the properties of the data and the operations to be performed on the data are

More information

Downloaded from

Downloaded from Unit-II Data Structure Arrays, Stacks, Queues And Linked List Chapter: 06 In Computer Science, a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently.

More information

DATA STRUCTURE : A MCQ QUESTION SET Code : RBMCQ0305

DATA STRUCTURE : A MCQ QUESTION SET Code : RBMCQ0305 Q.1 If h is any hashing function and is used to hash n keys in to a table of size m, where n

More information

CMSC 132: Object-Oriented Programming II. Stack and Queue

CMSC 132: Object-Oriented Programming II. Stack and Queue CMSC 132: Object-Oriented Programming II Stack and Queue 1 Stack Allows access to only the last item inserted. An item is inserted or removed from the stack from one end called the top of the stack. This

More information

CSCI 2132 Software Development. Lecture 20: Program Organization

CSCI 2132 Software Development. Lecture 20: Program Organization CSCI 232 Software Development Lecture 20: Program Organization Instructor: Vlado Keselj Faculty of Computer Science Dalhousie University 22-Oct-208 (20) CSCI 232 Previous Lecture Generating permutations

More information

DHANALAKSHMI COLLEGE OF ENGINEERING Tambaram, Chennai DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

DHANALAKSHMI COLLEGE OF ENGINEERING Tambaram, Chennai DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING DHANALAKSHMI COLLEGE OF ENGINEERING Tambaram, Chennai 601 301 DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING EC8381 - FUNDAMENTALS OF DATA STRUCTURES IN C III SEMESTER - R 2017 LABORATORY MANUAL

More information

FORTH SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- OCTOBER, 2012 DATA STRUCTURE

FORTH SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- OCTOBER, 2012 DATA STRUCTURE TED (10)-3071 Reg. No.. (REVISION-2010) Signature. FORTH SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- OCTOBER, 2012 DATA STRUCTURE (Common to CT and IF) [Time: 3 hours (Maximum marks: 100)

More information

cs Java: lecture #6

cs Java: lecture #6 cs3101-003 Java: lecture #6 news: homework #5 due today little quiz today it s the last class! please return any textbooks you borrowed from me today s topics: interfaces recursion data structures threads

More information

Department of Computer Science & Engineering Indian Institute of Technology Kharagpur. Practice Sheet #13

Department of Computer Science & Engineering Indian Institute of Technology Kharagpur. Practice Sheet #13 Department of Computer Science & Engineering Indian Institute of Technology Kharagpur Topic: Stack and Queue Practice Sheet #13 Date: 04-04-2017 1. Consider the following sequence of push and pop operations

More information