DATA STRUCTURES USING C

Save this PDF as:
Size: px
Start display at page:

Download "DATA STRUCTURES USING C"

Transcription

1 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 the general form to represent one dimensional array. 8. Give the location to store address of an element in 1-D array. 9. Define merging. 10. Write the statement in C to declare a 2-D array and initialize. 11. Define range. 12. How to calculate the maximum elements in a 2-D array? 13. Name the different methods used to implement 2-D Array. 14. Define base address. 15. Define string. 16. Give the general form to represent string. 17. What is meant by string terminator? 18. What is meant by pattern matching? 19. Give any two string operations. 20. Name the two components required to obtain the address of any location of an array and its size. 1. Classification of data structures. 2. Memory allocation in 1-D array. 3. Traversing in an array. 4. Inserting in an array. 5. Deleting in an array. 6. Sorting in an array. 7. Searching in an array. 8. Merging in an array. 9. Representing 2-D array with header. 10. Row major & column major implementation. 11. String operations. 12. Pattern matching.

2 UNIT II 1. Define stack. Give the initial condition of stack. 2. Define queue. Give the initial condition of queue. 3. Which statuses have to be checked during PUSH and POP operations? 4. When the stack is called empty and full? 5. Define expression. What are the types of expression? 6. Define infix expression. Give an e.g. 7. Define postfix expression. Give an e.g. 8. Define prefix expression. Give an e.g. 9. What are the applications of stack? 10. What is meant by matching of nested parentheses? 11. Define recursion. Give its formula. 12. When the queue is called empty and full? 13. Define circular queue. 14. Define priority queue. 15. Define de queue. 16. Name the primitive operations of stack. 17. Name the primitive operations of queue. 1. Write the algorithm for stack full, stack empty. 2. Write the algorithm for PUSH and POP operations. 3. Write the algorithm for queue full, queue empty. 4. Priority queue. 5. Circular queue. 6. Transforming infix to postfix notation. 7. Evaluation of postfix notation. 8. Matching of nested parentheses.

3 UNIT III : 1. Define linked list. 2. What are the types of addresses in a linked list? 3. Define external address. 4. Define internal address. 5. Define null address. 6. Define SLL. How to declare SLL. 7. Define DLL. How to declare DLL. 8. What is meant by freeing a node? 9. Define dangling pointer. 10. Define garbage collection. 11. Give any two differences between SLL and DLL. 12. Describe the purpose of the link fields of a doubly linked list. 13. What are the fields in SLL? 14. What are the fields in DLL? : 1. Linked list implementation. 2. Advantages and disadvantages of linked list. 3. Algorithm for SLL creation. 4. Algorithm for SLL insertion & deletion at head position. 5. Algorithm for SLL insertion & deletion at specified position. 6. Algorithm for SLL insertion & deletion at end position. 7. Algorithm for DLL creation. 8. Algorithm for DLL insertion & deletion at head position. 9. Algorithm for DLL insertion & deletion at specified position. 10. Algorithm for DLL insertion & deletion at end position. 11. Difference between SLL and DLL. 12. Circular linked list.

4 UNIT IV 1. Define binary tree. 2. When the binary tree is said to be full binary tree? 3. When the binary tree is said to be complete binary tree? 4. What are the representations of binary tree? 5. Define binary tree traversal. 6. Define expression tree. 7. Define binary search tree. 8. Define tree. 9. Define graph. 10. What are the different types of graph? 11. What are the representations of graph? 1. Tree terminologies. 2. Binary tree. 3. Binary tree traversal. 4. Tree representation of arithmetic expression. 5. Finding inorder from expression tree. 6. Finding preorder from expression tree. 7. Finding postorder from expression tree. 8. Graph terminologies. 9. Graph representation. 10. Comparison of graph representation. 11. Explain about binary search tree.

5 UNIT V 1. Define sequential search. 2. How to calculate the mid position? 3. What are the two types of sorting? 4. Define hashing. 5. Define hash table. 6. Define hash function. 7. Define collision. 8. Define extendible hashing. 9. Define rehashing. 10. What are the methods of collision resolution? 11. Define separate chaining. 12. Define open addressing. 13. What are the different types of hash function? 14. Give the general form for division, mid square & folding method hash function. 1. Explain about Sequential search. 2. Explain about Binary search. 3. Explain about Bubble sort. 4. Explain about selection sort. 5. Explain about insertion sort. 6. Explain about quick sort. 7. Explain about radix sort. 8. Explain about collision resolution methods. 9. Explain extendible hashing. 10. Explain about hash table and hash function.

Krishna Institute of Engineering & Technology, Ghaziabad Department of Computer Application MCA-213 : DATA STRUCTURES USING C

Krishna 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 information

10CS35: Data Structures Using C

10CS35: 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 information

Data Structure [Question Bank]

Data 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 information

GUJARAT TECHNOLOGICAL UNIVERSITY, AHMEDABAD, GUJARAT. Course Curriculum. DATA STRUCTURES (Code: 3330704)

GUJARAT TECHNOLOGICAL UNIVERSITY, AHMEDABAD, GUJARAT. Course Curriculum. DATA STRUCTURES (Code: 3330704) GUJARAT TECHNOLOGICAL UNIVERSITY, AHMEDABAD, GUJARAT Course Curriculum DATA STRUCTURES (Code: 3330704) Diploma Programme in which this course is offered Semester in which offered Computer Engineering,

More information

1) The postfix expression for the infix expression A+B*(C+D)/F+D*E is ABCD+*F/DE*++

1) 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 information

PES Institute of Technology-BSC QUESTION BANK

PES 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 information

5. A full binary tree with n leaves contains [A] n nodes. [B] log n 2 nodes. [C] 2n 1 nodes. [D] n 2 nodes.

5. 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 information

Java Software Structures

Java 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 information

AP Computer Science AB Syllabus 1

AP 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 information

MAX = 5 Current = 0 'This will declare an array with 5 elements. Inserting a Value onto the Stack (Push) -----------------------------------------

MAX = 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 information

Unit 1. 5. Write iterative and recursive C functions to find the greatest common divisor of two integers. [6]

Unit 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 information

Questions 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. 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 information

Algorithms and Data Structures

Algorithms 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 information

Data Structures. Level 6 C30151. www.fetac.ie. Module Descriptor

Data 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 information

1. 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. 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 information

Atmiya Infotech Pvt. Ltd. Data Structure. By Ajay Raiyani. Yogidham, Kalawad Road, Rajkot. Ph : 572365, 576681 1

Atmiya 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 information

Home Page. Data Structures. Title Page. Page 1 of 24. Go Back. Full Screen. Close. Quit

Home Page. Data Structures. Title Page. Page 1 of 24. Go Back. Full Screen. Close. Quit Data Structures Page 1 of 24 A.1. Arrays (Vectors) n-element vector start address + ielementsize 0 +1 +2 +3 +4... +n-1 start address continuous memory block static, if size is known at compile time dynamic,

More information

BCS2B02: OOP Concepts and Data Structures Using C++

BCS2B02: OOP Concepts and Data Structures Using C++ SECOND SEMESTER BCS2B02: OOP Concepts and Data Structures Using C++ Course Number: 10 Contact Hours per Week: 4 (2T + 2P) Number of Credits: 2 Number of Contact Hours: 30 Hrs. Course Evaluation: Internal

More information

Data Structures and Algorithms V22.0102. Otávio Braga

Data Structures and Algorithms V22.0102. Otávio Braga Data Structures and Algorithms V22.0102 Otávio Braga We use a stack When an operand is read, output it When an operator is read Pop until the top of the stack has an element of lower precedence Then push

More information

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING LESSON PLAN

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING LESSON PLAN ERODE SENGUNTHAR ENGINEERING COLLEGE (Approved by AICTE, New Delhi, Permanently Affiliated to Anna University - Chennai & Accredited by NAAC & National Board of Accreditation (NBA), New Delhi, Accredited

More information

Chapter 3: Restricted Structures Page 1

Chapter 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 information

Data Structure and Algorithm I Midterm Examination 120 points Time: 9:10am-12:10pm (180 minutes), Friday, November 12, 2010

Data Structure and Algorithm I Midterm Examination 120 points Time: 9:10am-12:10pm (180 minutes), Friday, November 12, 2010 Data Structure and Algorithm I Midterm Examination 120 points Time: 9:10am-12:10pm (180 minutes), Friday, November 12, 2010 Problem 1. In each of the following question, please specify if the statement

More information

KITES TECHNOLOGY COURSE MODULE (C, C++, DS)

KITES 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 information

Data Structures and Data Manipulation

Data 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 information

Binary Search Trees (BST)

Binary 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 information

Data Structures Using C++ 2E. Chapter 5 Linked Lists

Data 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 information

Linked Lists, Stacks, Queues, Deques. It s time for a chainge!

Linked 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 information

Binary 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. 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 information

Binary Search Trees CMPSC 122

Binary Search Trees CMPSC 122 Binary Search Trees CMPSC 122 Note: This notes packet has significant overlap with the first set of trees notes I do in CMPSC 360, but goes into much greater depth on turning BSTs into pseudocode than

More information

University of Pune Revised Structure for the B. Sc. (Computer Science) Course (Second Year to be implemented from Academic Year 2014-2015)

University of Pune Revised Structure for the B. Sc. (Computer Science) Course (Second Year to be implemented from Academic Year 2014-2015) University of Pune Revised Structure for the B. Sc. (Computer Science) Course (Second Year to be implemented from Academic Year 2014-2015) S. Y. B. Sc. (Computer Science) No Paper Title: Semester I Title:

More information

Abstract Data Type. EECS 281: Data Structures and Algorithms. The Foundation: Data Structures and Abstract Data Types

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 information

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK A REVIEW ON THE USAGE OF OLD AND NEW DATA STRUCTURE ARRAYS, LINKED LIST, STACK,

More information

Analysis of a Search Algorithm

Analysis 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 information

CHAPTER 4 ESSENTIAL DATA STRUCTRURES

CHAPTER 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 information

The following themes form the major topics of this chapter: The terms and concepts related to trees (Section 5.2).

The following themes form the major topics of this chapter: The terms and concepts related to trees (Section 5.2). CHAPTER 5 The Tree Data Model There are many situations in which information has a hierarchical or nested structure like that found in family trees or organization charts. The abstraction that models hierarchical

More information

Module 2 Stacks and Queues: Abstract Data Types

Module 2 Stacks and Queues: Abstract Data Types Module 2 Stacks and Queues: Abstract Data Types A stack is one of the most important and useful non-primitive linear data structure in computer science. It is an ordered collection of items into which

More information

Quiz 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 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 information

Ordered Lists and Binary Trees

Ordered 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 information

Data Structure with C

Data Structure with C Subject: Data Structure with C Topic : Tree Tree A tree is a set of nodes that either:is empty or has a designated node, called the root, from which hierarchically descend zero or more subtrees, which

More information

TREE BASIC TERMINOLOGIES

TREE BASIC TERMINOLOGIES TREE Trees are very flexible, versatile and powerful non-liner data structure that can be used to represent data items possessing hierarchical relationship between the grand father and his children and

More information

Lab Manual. Data Structures (Pr): COT-213 Data Structures (P): IT-215

Lab Manual. Data Structures (Pr): COT-213 Data Structures (P): IT-215 Lab Manual Data Structures (Pr): COT-213 Data Structures (P): IT-215 !" #$%&'() * +, -. 951/6201617535973417*37311 235678976: ;7A

More information

Data Structures UNIT III. Model Question Answer

Data 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 information

Exercises Software Development I. 11 Recursion, Binary (Search) Trees. Towers of Hanoi // Tree Traversal. January 16, 2013

Exercises Software Development I. 11 Recursion, Binary (Search) Trees. Towers of Hanoi // Tree Traversal. January 16, 2013 Exercises Software Development I 11 Recursion, Binary (Search) Trees Towers of Hanoi // Tree Traversal January 16, 2013 Software Development I Winter term 2012/2013 Institute for Pervasive Computing Johannes

More information

Common Data Structures

Common 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 information

CSE373: 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 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

A TOOL FOR DATA STRUCTURE VISUALIZATION AND USER-DEFINED ALGORITHM ANIMATION

A TOOL FOR DATA STRUCTURE VISUALIZATION AND USER-DEFINED ALGORITHM ANIMATION A TOOL FOR DATA STRUCTURE VISUALIZATION AND USER-DEFINED ALGORITHM ANIMATION Tao Chen 1, Tarek Sobh 2 Abstract -- In this paper, a software application that features the visualization of commonly used

More information

To My Parents -Laxmi and Modaiah. To My Family Members. To My Friends. To IIT Bombay. To All Hard Workers

To My Parents -Laxmi and Modaiah. To My Family Members. To My Friends. To IIT Bombay. To All Hard Workers To My Parents -Laxmi and Modaiah To My Family Members To My Friends To IIT Bombay To All Hard Workers Copyright 2010 by CareerMonk.com All rights reserved. Designed by Narasimha Karumanchi Printed in

More information

Bangalore University B.Sc Computer Science Syllabus ( Semester System)

Bangalore University B.Sc Computer Science Syllabus ( Semester System) Bangalore University B.Sc Computer Science Syllabus ( Semester System) First Semester CSIT1: Computer Fundamentals and C Programming CSIP1: C Programming Lab Second Semester CSIIT1: Data Structures and

More information

Binary Trees and Huffman Encoding Binary Search Trees

Binary Trees and Huffman Encoding Binary Search Trees Binary Trees and Huffman Encoding Binary Search Trees Computer Science E119 Harvard Extension School Fall 2012 David G. Sullivan, Ph.D. Motivation: Maintaining a Sorted Collection of Data A data dictionary

More information

ECE 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 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 information

Sample Questions Csci 1112 A. Bellaachia

Sample 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 information

Introduction to Data Structures

Introduction to Data Structures Introduction to Data Structures Albert Gural October 28, 2011 1 Introduction When trying to convert from an algorithm to the actual code, one important aspect to consider is how to store and manipulate

More information

Syllabus for Computer Science. Proposed scheme for B.Sc Programme under Choice Based Credit System

Syllabus for Computer Science. Proposed scheme for B.Sc Programme under Choice Based Credit System Syllabus for Computer Science Proposed scheme for B.Sc Programme under Choice Based Credit System SEMESTER - I Code Course Title Course Type HPW Credits BS106 SEMESTER -I I BS 206 SEMESTER -III BS 301

More information

Data Structures, Practice Homework 3, with Solutions (not to be handed in)

Data Structures, Practice Homework 3, with Solutions (not to be handed in) Data Structures, Practice Homework 3, with Solutions (not to be handed in) 1. Carrano, 4th edition, Chapter 9, Exercise 1: What is the order of each of the following tasks in the worst case? (a) Computing

More information

7.1 Our Current Model

7.1 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 information

Converting a Number from Decimal to Binary

Converting a Number from Decimal to Binary Converting a Number from Decimal to Binary Convert nonnegative integer in decimal format (base 10) into equivalent binary number (base 2) Rightmost bit of x Remainder of x after division by two Recursive

More information

Data Structures and Algorithms

Data 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 information

Exam study sheet for CS2711. List of topics

Exam study sheet for CS2711. List of topics Exam study sheet for CS2711 Here is the list of topics you need to know for the final exam. For each data structure listed below, make sure you can do the following: 1. Give an example of this data structure

More information

Stack & Queue. Darshan Institute of Engineering & Technology. Explain Array in detail. Row major matrix No of Columns = m = u2 b2 + 1

Stack & 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 information

Memory Allocation. Static Allocation. Dynamic Allocation. Memory Management. Dynamic Allocation. Dynamic Storage Allocation

Memory Allocation. Static Allocation. Dynamic Allocation. Memory Management. Dynamic Allocation. Dynamic Storage Allocation Dynamic Storage Allocation CS 44 Operating Systems Fall 5 Presented By Vibha Prasad Memory Allocation Static Allocation (fixed in size) Sometimes we create data structures that are fixed and don t need

More information

Data Structures and Algorithms Stacks and Queues

Data 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 information

Lecture 12 Doubly Linked Lists (with Recursion)

Lecture 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 information

CSE 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.

CSE 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 information

Introduction to Programming System Design. CSCI 455x (4 Units)

Introduction to Programming System Design. CSCI 455x (4 Units) Introduction to Programming System Design CSCI 455x (4 Units) Description This course covers programming in Java and C++. Topics include review of basic programming concepts such as control structures,

More information

G. H. RAISONI COLLEGE OF ENGG NAGPUR-16 Session 2006-2007 DEPARTMENT CSE Semester IV SUBJECT DSPD

G. H. RAISONI COLLEGE OF ENGG NAGPUR-16 Session 2006-2007 DEPARTMENT CSE Semester IV SUBJECT DSPD G. H. RAISONI COLLEGE OF ENGG NAGPUR-16 Session 2006-2007 DEPARTMENT CSE Semester IV SUBJECT DSPD LIST OF EXPERIMENTS 1.Make a database. The record tag,tstudent consists of these fields: Name[20],RollNo.[5],Address[40],Phone[12],UT-1[2,from1

More information

CompuScholar, Inc. Alignment to Utah's Computer Programming II Standards

CompuScholar, Inc. Alignment to Utah's Computer Programming II Standards CompuScholar, Inc. Alignment to Utah's Computer Programming II Standards Course Title: TeenCoder: Java Programming Course ISBN: 978 0 9887070 2 3 Course Year: 2015 Note: Citation(s) listed may represent

More information

AP Computer Science Java Mr. Clausen Program 9A, 9B

AP Computer Science Java Mr. Clausen Program 9A, 9B AP Computer Science Java Mr. Clausen Program 9A, 9B PROGRAM 9A I m_sort_of_searching (20 points now, 60 points when all parts are finished) The purpose of this project is to set up a program that will

More information

Lecture 2: Data Structures Steven Skiena. http://www.cs.sunysb.edu/ skiena

Lecture 2: Data Structures Steven Skiena. http://www.cs.sunysb.edu/ skiena Lecture 2: Data Structures Steven Skiena Department of Computer Science State University of New York Stony Brook, NY 11794 4400 http://www.cs.sunysb.edu/ skiena String/Character I/O There are several approaches

More information

Objected oriented Programming: C++ Unit 1 1. Introduction 1.1. Introduction to Object Oriented Programming. 1.2. C++ fundamentals.

Objected oriented Programming: C++ Unit 1 1. Introduction 1.1. Introduction to Object Oriented Programming. 1.2. C++ fundamentals. Gujarat University Choice Based Credit System (CBCS) Syllabus for B. Sc. Semester III (Computer Science) COM 201: DATA STRUCTURE USING C++ (Theory) Hours: 4 /week Credits: 4 Objected oriented Programming:

More information

Physical Data Organization

Physical Data Organization Physical Data Organization Database design using logical model of the database - appropriate level for users to focus on - user independence from implementation details Performance - other major factor

More information

Stacks. Data Structures and Data Types. Collections

Stacks. Data Structures and Data Types. Collections Data Structures and Data Types Data types Set values. Set operations on those values. Some are built in to Java: int, double, char,... Most are not: Complex, Picture, Charge, Stack, Queue, Graph,... Data

More information

An Introduction to Programming and Computer Science

An Introduction to Programming and Computer Science An Introduction to Programming and Computer Science Maria Litvin Phillips Academy, Andover, Massachusetts Gary Litvin Skylight Software, Inc. Skylight Publishing Andover, Massachusetts Copyright 1998 by

More information

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 13-1

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 13-1 Slide 13-1 Chapter 13 Disk Storage, Basic File Structures, and Hashing Chapter Outline Disk Storage Devices Files of Records Operations on Files Unordered Files Ordered Files Hashed Files Dynamic and Extendible

More information

CompSci-61B, Data Structures Final Exam

CompSci-61B, Data Structures Final Exam Your Name: CompSci-61B, Data Structures Final Exam Your 8-digit Student ID: Your CS61B Class Account Login: This is a final test for mastery of the material covered in our labs, lectures, and readings.

More information

2. (a) Explain the strassen s matrix multiplication. (b) Write deletion algorithm, of Binary search tree. [8+8]

2. (a) Explain the strassen s matrix multiplication. (b) Write deletion algorithm, of Binary search tree. [8+8] Code No: R05220502 Set No. 1 1. (a) Describe the performance analysis in detail. (b) Show that f 1 (n)+f 2 (n) = 0(max(g 1 (n), g 2 (n)) where f 1 (n) = 0(g 1 (n)) and f 2 (n) = 0(g 2 (n)). [8+8] 2. (a)

More information

root node level: internal node edge leaf node CS@VT Data Structures & Algorithms 2000-2009 McQuain

root node level: internal node edge leaf node CS@VT Data Structures & Algorithms 2000-2009 McQuain inary Trees 1 A binary tree is either empty, or it consists of a node called the root together with two binary trees called the left subtree and the right subtree of the root, which are disjoint from each

More information

2) What is the structure of an organization? Explain how IT support at different organizational levels.

2) What is the structure of an organization? Explain how IT support at different organizational levels. (PGDIT 01) Paper - I : BASICS OF INFORMATION TECHNOLOGY 1) What is an information technology? Why you need to know about IT. 2) What is the structure of an organization? Explain how IT support at different

More information

Class XII (Theory) C++

Class XII (Theory) C++ Class XII (Theory) C++ Duration: 3 hours Total Marks: 70 Unit No. Unit Name Marks 1. OBJECT ORIENTED PROGRAMMING IN C++ 30 2. DATA STRUCTURE 14 3. DATABASE MANAGEMENT SYSTEM AND SQL 8 4. BOOLEAN ALGEBRA

More information

1 p a g e 1 1. Syllabus of 3 rd Semester of B.Tech. Information Technology (Batch 2014 Onwards)

1 p a g e 1 1. Syllabus of 3 rd Semester of B.Tech. Information Technology (Batch 2014 Onwards) 1 p a g e 1 1 Syllabus of 3 rd Semester of B.Tech. Information Technology (Batch 2014 Onwards) 2 p a g e 1 1 BIT-302 Data Structures and Programming Methodology Internal marks: 40 L T P External marks:

More information

Any two nodes which are connected by an edge in a graph are called adjacent node.

Any two nodes which are connected by an edge in a graph are called adjacent node. . iscuss following. Graph graph G consist of a non empty set V called the set of nodes (points, vertices) of the graph, a set which is the set of edges and a mapping from the set of edges to a set of pairs

More information

AGARWAL COLLEGE & WEB SERVICES TRUST. In Collaboration with KARANATAKA STATE OPEN UNIVERSITY

AGARWAL COLLEGE & WEB SERVICES TRUST. In Collaboration with KARANATAKA STATE OPEN UNIVERSITY AGARWAL COLLEGE & WEB SERVICES TRUST In Collaboration with KARANATAKA STATE OPEN UNIVERSITY Syllabus of Post Graduate Diploma in Computer Application (PGDCA) Post Graduate Diploma in Computer Applications:

More information

Chapter 13 Disk Storage, Basic File Structures, and Hashing.

Chapter 13 Disk Storage, Basic File Structures, and Hashing. Chapter 13 Disk Storage, Basic File Structures, and Hashing. Copyright 2004 Pearson Education, Inc. Chapter Outline Disk Storage Devices Files of Records Operations on Files Unordered Files Ordered Files

More information

A binary search tree is a binary tree with a special property called the BST-property, which is given as follows:

A binary search tree is a binary tree with a special property called the BST-property, which is given as follows: Chapter 12: Binary Search Trees A binary search tree is a binary tree with a special property called the BST-property, which is given as follows: For all nodes x and y, if y belongs to the left subtree

More information

Chapter 13. Disk Storage, Basic File Structures, and Hashing

Chapter 13. Disk Storage, Basic File Structures, and Hashing Chapter 13 Disk Storage, Basic File Structures, and Hashing Chapter Outline Disk Storage Devices Files of Records Operations on Files Unordered Files Ordered Files Hashed Files Dynamic and Extendible Hashing

More information

1. Relational database accesses data in a sequential form. (Figures 7.1, 7.2)

1. Relational database accesses data in a sequential form. (Figures 7.1, 7.2) Chapter 7 Data Structures for Computer Graphics (This chapter was written for programmers - option in lecture course) Any computer model of an Object must comprise three different types of entities: 1.

More information

COMPUTER SCIENCE. Paper 1 (THEORY)

COMPUTER SCIENCE. Paper 1 (THEORY) COMPUTER SCIENCE Paper 1 (THEORY) (Three hours) Maximum Marks: 70 (Candidates are allowed additional 15 minutes for only reading the paper. They must NOT start writing during this time) -----------------------------------------------------------------------------------------------------------------------

More information

Application of Stacks: Postfix Expressions Calculator (cont d.)

Application of Stacks: Postfix Expressions Calculator (cont d.) Application of Stacks: Postfix Expressions Calculator (cont d.) Postfix expression: 6 3 + 2 * = FIGURE 7-15 Evaluating the postfix expression: 6 3 + 2 * = Data Structures Using C++ 2E 1 Application of

More information

ADTs,, Arrays, Linked Lists

ADTs,, Arrays, Linked Lists 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 Abstract Data Type (ADT) 2 abstract

More information

Unordered Linked Lists

Unordered 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 information

Introduction to Data Structures and Algorithms

Introduction 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 information

Parallelization: Binary Tree Traversal

Parallelization: Binary Tree Traversal By Aaron Weeden and Patrick Royal Shodor Education Foundation, Inc. August 2012 Introduction: According to Moore s law, the number of transistors on a computer chip doubles roughly every two years. First

More information

SMALL INDEX LARGE INDEX (SILT)

SMALL INDEX LARGE INDEX (SILT) Wayne State University ECE 7650: Scalable and Secure Internet Services and Architecture SMALL INDEX LARGE INDEX (SILT) A Memory Efficient High Performance Key Value Store QA REPORT Instructor: Dr. Song

More information

UIL Computer Science for Dummies by Jake Warren and works from Mr. Fleming

UIL Computer Science for Dummies by Jake Warren and works from Mr. Fleming UIL Computer Science for Dummies by Jake Warren and works from Mr. Fleming 1 2 Foreword First of all, this book isn t really for dummies. I wrote it for myself and other kids who are on the team. Everything

More information

LINKED DATA STRUCTURES

LINKED 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 information

EE2204 DATA STRUCTURES AND ALGORITHM (Common to EEE, EIE & ICE)

EE2204 DATA STRUCTURES AND ALGORITHM (Common to EEE, EIE & ICE) EE2204 DATA STRUCTURES AND ALGORITHM (Common to EEE, EIE & ICE) UNIT I LINEAR STRUCTURES Abstract Data Types (ADT) List ADT array-based implementation linked list implementation cursor-based linked lists

More information

Chapter 13. Chapter Outline. Disk Storage, Basic File Structures, and Hashing

Chapter 13. Chapter Outline. Disk Storage, Basic File Structures, and Hashing Chapter 13 Disk Storage, Basic File Structures, and Hashing Copyright 2007 Ramez Elmasri and Shamkant B. Navathe Chapter Outline Disk Storage Devices Files of Records Operations on Files Unordered Files

More information

Govt. Holkar Science College, Indore Department of Computer Science B.Sc. Computer Science

Govt. Holkar Science College, Indore Department of Computer Science B.Sc. Computer Science Govt. Holkar Science College, Indore Department of Computer Science B.Sc. Computer Science Session- 2014-2017 (Effective from July 2014 session for 2014-16 batch onwards) Marks Distributions B.Sc. I Semester

More information

Chapter 8: Binary Trees

Chapter 8: Binary Trees Chapter 8: Binary Trees Why Use Binary Trees? Tree Terminology An Analogy How Do Binary Search Trees Work Finding a Node Inserting a Node Traversing the Tree Finding Maximum and Minimum Values Deleting

More information

QUEUES. Primitive Queue operations. enqueue (q, x): inserts item x at the rear of the queue q

QUEUES. 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 information