Algorithms and Data Structures Exercise I

Size: px
Start display at page:

Download "Algorithms and Data Structures Exercise I"

Transcription

1 Algorithms and Data Structures Exercise I Banafsheh Azari Bauhaus-University Weimar - CogVis/MMC May 3, 2017 c 2017, Algorithms and Data Structures Exercise I Exercise I 1/23

2 Exercise Wednesday,11:00, SR014, B11 Even weeks First Exercise : c 2017, Algorithms and Data Structures Exercise I Exercise I 2/23

3 Exercise 5 Assignments max 6 point for each assigment 30% exercise and 70% final exam c 2017, Algorithms and Data Structures Exercise I Exercise I 3/23

4 Exercise Conditions C/C++ or Java Compilable source code (gcc or javac) No IDEs Readable source code Self-contained submission c 2017, Algorithms and Data Structures Exercise I Exercise I 4/23

5 Exercise Comments Sufficient comments (rule of thumb: another Developers can get program logic alone by reading the comments) In each! Data: Name, matriculation number, SS2017 c 2017, Algorithms and Data Structures Exercise I Exercise I 5/23

6 Exercise Tasks: Submission: per as NameLastname E... c 2017, Algorithms and Data Structures Exercise I Exercise I 6/23

7 Data Structures Array Linked Lists Stacks LIFO Push pop Queues FIFO enqueue dequeue Trees Graphs c 2017, Algorithms and Data Structures Exercise I Exercise I 7/23

8 Data Structures Array Linked Lists Stacks LIFO Push pop Queues FIFO enqueue dequeue Trees Graphs c 2017, Algorithms and Data Structures Exercise I Exercise I 7/23

9 Data Structures Array Linked Lists Stacks LIFO Push pop Queues FIFO enqueue dequeue Trees Graphs c 2017, Algorithms and Data Structures Exercise I Exercise I 7/23

10 Data Structures Array Linked Lists Stacks LIFO Push pop Queues FIFO enqueue dequeue Trees Graphs c 2017, Algorithms and Data Structures Exercise I Exercise I 7/23

11 Data Structures Array Linked Lists Stacks LIFO Push pop Queues FIFO enqueue dequeue Trees Graphs c 2017, Algorithms and Data Structures Exercise I Exercise I 7/23

12 Data Structures Array Linked Lists Stacks LIFO Push pop Queues FIFO enqueue dequeue Trees Graphs c 2017, Algorithms and Data Structures Exercise I Exercise I 7/23

13 Data Structures Array Linked Lists Stacks LIFO Push pop Queues FIFO enqueue dequeue Trees Graphs c 2017, Algorithms and Data Structures Exercise I Exercise I 7/23

14 Polynomial g x =mx +nx +ox+p coef expo next Start m 4 n 2 o 1 p 0 c 2017, Algorithms and Data Structures Exercise I Exercise I 8/23

15 Polynomial Addition f x =ax +bx +cx Start g x =mx +nx +ox+p a 5 b 3 c 1 Start m 4 n 2 o 1 p 0 h x =f x +g x =ax +mx +bx +nx + c+o x+p c 2017, Algorithms and Data Structures Exercise I Exercise I 9/23

16 Infix and Postfix Expression Infix expression (A * (B + (C / D) ) ) Postfix expression (A (B (C D /) +) *) Prefix expression (* A (+ B (/ C D) ) ) c 2017, Algorithms and Data Structures Exercise I Exercise I 10/23

17 Converting Example stack original expression 5/7+2*4*3 postfix expression 5 / + * + * + + push / 5 7 pop / push / 5 7 / 2 push * 5 7 / 2 4 pop * push * 5 7 / 2 4 * pop * 5 7 / 2 4 * 3 * pop / 2 4 * 3 * + c 2017, Algorithms and Data Structures Exercise I Exercise I 11/23

18 Calculation Example stack original expression 2 4 * push 2 push 4 pop 4 pop 2 push 2* push 9 push 5 pop 5 pop 9 push 9+5 pop 14 pop 8 push 8-14 c 2017, Algorithms and Data Structures Exercise I Exercise I 12/23

19 Trees Terminology A S M E P L Q T c 2017, Algorithms and Data Structures Exercise I Exercise I 13/23

20 Trees A S M E P L Terminology Node External node: leaf Internal node Edge Path Root Q T c 2017, Algorithms and Data Structures Exercise I Exercise I 14/23

21 Trees A N=number of nodes M=number of edges M=N-1 S M E P L Q T c 2017, Algorithms and Data Structures Exercise I Exercise I 15/23

22 Trees Implementing A B C D E F c 2017, Algorithms and Data Structures Exercise I Exercise I 16/23

23 Trees traversing methods A S M E P L Q T c 2017, Algorithms and Data Structures Exercise I Exercise I 17/23

24 Tree traversing methods S A M Preorder Inorder Postorder Level-Order E P N L X K Q T c 2017, Algorithms and Data Structures Exercise I Exercise I 18/23

25 Trees * A + B / C D c 2017, Algorithms and Data Structures Exercise I Exercise I 19/23

26 Huffman coding ABACCDA bit Character D C B A Code bit Character D C B A Code bit Character D C B A Code c 2017, Algorithms and Data Structures Exercise I Exercise I 20/23

27 Palindrome & Anagram madam m m a a d d a a m m c 2017, Algorithms and Data Structures Exercise I Exercise I 21/23

28 Assignment I Write a program that reads an infix expression as input, convert it to postfix expression and calculate the integer result. Return the postfix order and the integer result as output. Assume the infix expression is a string of tokens delimited by spaces. The operator tokens are *, /, +, and -. The operands are assumed to be single-digit integer values. Example: Enter an infix expression: Postfix expression is: Evaluation of expression is: 0 Use array or linked list to implement the Stack and Queue. Deadline: 17. May :59 Mailto: banafsheh.azari@uni-weimar.de Good luck! c 2017, Algorithms and Data Structures Exercise I Exercise I 22/23

First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms...

First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms... First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms.... Q1) What are some of the applications for the tree data structure? Q2) There are 8, 15, 13, and

More information

PA3 Design Specification

PA3 Design Specification PA3 Teaching Data Structure 1. System Description The Data Structure Web application is written in JavaScript and HTML5. It has been divided into 9 pages: Singly linked page, Stack page, Postfix expression

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

STACKS AND QUEUES. Problem Solving with Computers-II

STACKS AND QUEUES. Problem Solving with Computers-II STACKS AND QUEUES Problem Solving with Computers-II 2 Stacks container class available in the C++ STL Container class that uses the Last In First Out (LIFO) principle Methods i. push() ii. iii. iv. pop()

More information

12 Abstract Data Types

12 Abstract Data Types 12 Abstract Data Types 12.1 Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: Define the concept of an abstract data type (ADT). Define

More information

MULTIMEDIA COLLEGE JALAN GURNEY KIRI KUALA LUMPUR

MULTIMEDIA COLLEGE JALAN GURNEY KIRI KUALA LUMPUR STUDENT IDENTIFICATION NO MULTIMEDIA COLLEGE JALAN GURNEY KIRI 54100 KUALA LUMPUR FIFTH SEMESTER FINAL EXAMINATION, 2014/2015 SESSION PSD2023 ALGORITHM & DATA STRUCTURE DSEW-E-F-2/13 25 MAY 2015 9.00 AM

More information

The Stack and Queue Types

The Stack and Queue Types The Stack and Queue Types Hartmut Kaiser hkaiser@cct.lsu.edu http://www.cct.lsu.edu/ hkaiser/fall_2012/csc1254.html 2 Programming Principle of the Day Do the simplest thing that could possibly work A good

More information

There are many other applications like constructing the expression tree from the postorder expression. I leave you with an idea as how to do it.

There are many other applications like constructing the expression tree from the postorder expression. I leave you with an idea as how to do it. Programming, Data Structures and Algorithms Prof. Hema Murthy Department of Computer Science and Engineering Indian Institute of Technology, Madras Lecture 49 Module 09 Other applications: expression tree

More information

Formal Languages and Automata Theory, SS Project (due Week 14)

Formal Languages and Automata Theory, SS Project (due Week 14) Formal Languages and Automata Theory, SS 2018. Project (due Week 14) 1 Preliminaries The objective is to implement an algorithm for the evaluation of an arithmetic expression. As input, we have a string

More information

Stacks, Queues and Hierarchical Collections

Stacks, Queues and Hierarchical Collections Programming III Stacks, Queues and Hierarchical Collections 2501ICT Nathan Contents Linked Data Structures Revisited Stacks Queues Trees Binary Trees Generic Trees Implementations 2 Copyright 2002- by

More information

Cpt S 122 Data Structures. Course Review Midterm Exam # 1

Cpt S 122 Data Structures. Course Review Midterm Exam # 1 Cpt S 122 Data Structures Course Review Midterm Exam # 1 Nirmalya Roy School of Electrical Engineering and Computer Science Washington State University Midterm Exam 1 When: Friday (09/28) 12:10-1pm Where:

More information

CS 206 Introduction to Computer Science II

CS 206 Introduction to Computer Science II CS 206 Introduction to Computer Science II 03 / 31 / 2017 Instructor: Michael Eckmann Today s Topics Questions? Comments? finish RadixSort implementation some applications of stack Priority Queues Michael

More information

Course Review for. Cpt S 223 Fall Cpt S 223. School of EECS, WSU

Course Review for. Cpt S 223 Fall Cpt S 223. School of EECS, WSU Course Review for Midterm Exam 1 Cpt S 223 Fall 2011 1 Midterm Exam 1 When: Friday (10/14) 1:10-2pm Where: in class Closed book, closed notes Comprehensive Material for preparation: Lecture slides & in-class

More information

3137 Data Structures and Algorithms in C++

3137 Data Structures and Algorithms in C++ 3137 Data Structures and Algorithms in C++ Lecture 3 July 12 2006 Shlomo Hershkop 1 Announcements Homework 2 out tonight Please make sure you complete hw1 asap if you have issues, please contact me will

More information

Revision Statement while return growth rate asymptotic notation complexity Compare algorithms Linear search Binary search Preconditions: sorted,

Revision Statement while return growth rate asymptotic notation complexity Compare algorithms Linear search Binary search Preconditions: sorted, [1] Big-O Analysis AVERAGE(n) 1. sum 0 2. i 0. while i < n 4. number input_number(). sum sum + number 6. i i + 1 7. mean sum / n 8. return mean Revision Statement no. of times executed 1 1 2 1 n+1 4 n

More information

TREES. Trees - Introduction

TREES. Trees - Introduction TREES Chapter 6 Trees - Introduction All previous data organizations we've studied are linear each element can have only one predecessor and successor Accessing all elements in a linear sequence is O(n)

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

Topics. Trees Vojislav Kecman. Which graphs are trees? Terminology. Terminology Trees as Models Some Tree Theorems Applications of Trees CMSC 302

Topics. Trees Vojislav Kecman. Which graphs are trees? Terminology. Terminology Trees as Models Some Tree Theorems Applications of Trees CMSC 302 Topics VCU, Department of Computer Science CMSC 302 Trees Vojislav Kecman Terminology Trees as Models Some Tree Theorems Applications of Trees Binary Search Tree Decision Tree Tree Traversal Spanning Trees

More information

Stacks, Queues and Hierarchical Collections. 2501ICT Logan

Stacks, Queues and Hierarchical Collections. 2501ICT Logan Stacks, Queues and Hierarchical Collections 2501ICT Logan Contents Linked Data Structures Revisited Stacks Queues Trees Binary Trees Generic Trees Implementations 2 Queues and Stacks Queues and Stacks

More information

Section 5.5. Left subtree The left subtree of a vertex V on a binary tree is the graph formed by the left child L of V, the descendents

Section 5.5. Left subtree The left subtree of a vertex V on a binary tree is the graph formed by the left child L of V, the descendents Section 5.5 Binary Tree A binary tree is a rooted tree in which each vertex has at most two children and each child is designated as being a left child or a right child. Thus, in a binary tree, each vertex

More information

Stacks. stacks of dishes or trays in a cafeteria. Last In First Out discipline (LIFO)

Stacks. stacks of dishes or trays in a cafeteria. Last In First Out discipline (LIFO) Outline stacks stack ADT method signatures array stack implementation linked stack implementation stack applications infix, prefix, and postfix expressions 1 Stacks stacks of dishes or trays in a cafeteria

More information

R13. II B. Tech I Semester Supplementary Examinations, May/June DATA STRUCTURES (Com. to ECE, CSE, EIE, IT, ECC)

R13. II B. Tech I Semester Supplementary Examinations, May/June DATA STRUCTURES (Com. to ECE, CSE, EIE, IT, ECC) SET - 1 II B. Tech I Semester Supplementary Examinations, May/June - 2016 PART A 1. a) Write a procedure for the Tower of Hanoi problem? b) What you mean by enqueue and dequeue operations in a queue? c)

More information

Tree. Virendra Singh Indian Institute of Science Bangalore Lecture 11. Courtesy: Prof. Sartaj Sahni. Sep 3,2010

Tree. Virendra Singh Indian Institute of Science Bangalore Lecture 11. Courtesy: Prof. Sartaj Sahni. Sep 3,2010 SE-286: Data Structures t and Programming Tree Virendra Singh Indian Institute of Science Bangalore Lecture 11 Courtesy: Prof. Sartaj Sahni 1 Trees Nature Lover sviewofatree leaves branches root 3 Computer

More information

The Bucharest University of Economic Studies. Data Structures. ADTs-Abstract Data Types Stacks and Queues

The Bucharest University of Economic Studies. Data Structures. ADTs-Abstract Data Types Stacks and Queues The Bucharest University of Economic Studies Data Structures ADTs-Abstract Data Types Stacks and Queues Agenda Definition Graphical representation Internal interpretation Characteristics Operations Implementations

More information

Table of Contents. Chapter 1: Introduction to Data Structures... 1

Table of Contents. Chapter 1: Introduction to Data Structures... 1 Table of Contents Chapter 1: Introduction to Data Structures... 1 1.1 Data Types in C++... 2 Integer Types... 2 Character Types... 3 Floating-point Types... 3 Variables Names... 4 1.2 Arrays... 4 Extraction

More information

March 20/2003 Jayakanth Srinivasan,

March 20/2003 Jayakanth Srinivasan, Definition : A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges. Definition : In a multigraph G = (V, E) two or

More information

Binary Trees, Binary Search Trees

Binary Trees, Binary Search Trees Binary Trees, Binary Search Trees Trees Linear access time of linked lists is prohibitive Does there exist any simple data structure for which the running time of most operations (search, insert, delete)

More information

syntax tree - * * * * * *

syntax tree - * * * * * * Announcements Today: The last day to request prelim regrades Assignment A4 due next Thursday night. Please work on it early and steadily. Watch the two videos on recursion on trees before working on A4!

More information

CS 206 Introduction to Computer Science II

CS 206 Introduction to Computer Science II CS 206 Introduction to Computer Science II 07 / 26 / 2016 Instructor: Michael Eckmann Today s Topics Comments/Questions? Stacks and Queues Applications of both Priority Queues Michael Eckmann - Skidmore

More information

ASTS, GRAMMARS, PARSING, TREE TRAVERSALS. Lecture 14 CS2110 Fall 2018

ASTS, GRAMMARS, PARSING, TREE TRAVERSALS. Lecture 14 CS2110 Fall 2018 1 ASTS, GRAMMARS, PARSING, TREE TRAVERSALS Lecture 14 CS2110 Fall 2018 Announcements 2 Today: The last day to request prelim regrades Assignment A4 due next Thursday night. Please work on it early and

More information

Data Structures. Outline. Introduction Linked Lists Stacks Queues Trees Deitel & Associates, Inc. All rights reserved.

Data Structures. Outline. Introduction Linked Lists Stacks Queues Trees Deitel & Associates, Inc. All rights reserved. Data Structures Outline Introduction Linked Lists Stacks Queues Trees Introduction dynamic data structures - grow and shrink during execution Linked lists - insertions and removals made anywhere Stacks

More information

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS. Regrades 10/6/15. Prelim 1. Prelim 1. Expression trees. Pointers to material

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS. Regrades 10/6/15. Prelim 1. Prelim 1. Expression trees. Pointers to material 1 Prelim 1 2 Max: 99 Mean: 71.2 Median: 73 Std Dev: 1.6 ADS, GRAMMARS, PARSING, R RAVRSALS Lecture 12 CS2110 Spring 2015 3 Prelim 1 Score Grade % 90-99 A 82-89 A-/A 26% 70-82 B/B 62-69 B-/B 50% 50-59 C-/C

More information

Data Structures Question Bank Multiple Choice

Data Structures Question Bank Multiple Choice Section 1. Fundamentals: Complexity, Algorthm Analysis 1. An algorithm solves A single problem or function Multiple problems or functions Has a single programming language implementation 2. A solution

More information

ECE250: Algorithms and Data Structures Midterm Review

ECE250: Algorithms and Data Structures Midterm Review ECE250: Algorithms and Data Structures Midterm Review Ladan Tahvildari, PEng, SMIEEE Associate Professor Software Technologies Applied Research (STAR) Group Dept. of Elect. & Comp. Eng. University of Waterloo

More information

University of Palestine. Final Exam 2 nd semester 2014/2015 Total Grade: 50

University of Palestine. Final Exam 2 nd semester 2014/2015 Total Grade: 50 First Question Q1 B1 Choose the best Answer: No. of Branches (1) (10/50) 1) 2) 3) 4) Suppose we start with an empty stack and then perform the following operations: Push (A); Push (B); Pop; Push (C); Top;

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

MIDTERM EXAMINATION Spring 2010 CS301- Data Structures

MIDTERM EXAMINATION Spring 2010 CS301- Data Structures MIDTERM EXAMINATION Spring 2010 CS301- Data Structures Question No: 1 Which one of the following statement is NOT correct. In linked list the elements are necessarily to be contiguous In linked list the

More information

Chapter 4 Trees. Theorem A graph G has a spanning tree if and only if G is connected.

Chapter 4 Trees. Theorem A graph G has a spanning tree if and only if G is connected. Chapter 4 Trees 4-1 Trees and Spanning Trees Trees, T: A simple, cycle-free, loop-free graph satisfies: If v and w are vertices in T, there is a unique simple path from v to w. Eg. Trees. Spanning trees:

More information

Data Structures. Trees. By Dr. Mohammad Ali H. Eljinini. M.A. Eljinini, PhD

Data Structures. Trees. By Dr. Mohammad Ali H. Eljinini. M.A. Eljinini, PhD Data Structures Trees By Dr. Mohammad Ali H. Eljinini Trees Are collections of items arranged in a tree like data structure (none linear). Items are stored inside units called nodes. However: We can use

More information

Computer Science 1 Study Union Practice Problems. What are the arguments to malloc? calloc? realloc? What do they do?

Computer Science 1 Study Union Practice Problems. What are the arguments to malloc? calloc? realloc? What do they do? Study Union Review Jacob Cornett 1 Computer Science 1 Study Union Practice Problems!This may not be a comprehensive review of everything that will be on your exam and we may go over more during the session.

More information

CS301 - Data Structures Glossary By

CS301 - Data Structures Glossary By CS301 - Data Structures Glossary By Abstract Data Type : A set of data values and associated operations that are precisely specified independent of any particular implementation. Also known as ADT Algorithm

More information

EE 368. Week 6 (Notes)

EE 368. Week 6 (Notes) EE 368 Week 6 (Notes) 1 Expression Trees Binary trees provide an efficient data structure for representing expressions with binary operators. Root contains the operator Left and right children contain

More information

Postfix (and prefix) notation

Postfix (and prefix) notation Postfix (and prefix) notation Also called reverse Polish reversed form of notation devised by mathematician named Jan Łukasiewicz (so really lü-kä-sha-vech notation) Infix notation is: operand operator

More information

Associate Professor Dr. Raed Ibraheem Hamed

Associate Professor Dr. Raed Ibraheem Hamed Associate Professor Dr. Raed Ibraheem Hamed University of Human Development, College of Science and Technology Computer Science Department 2015 2016 Department of Computer Science _ UHD 1 What this Lecture

More information

Topic 14. The BinaryTree ADT

Topic 14. The BinaryTree ADT Topic 14 The BinaryTree ADT Objectives Define trees as data structures Define the terms associated with trees Discuss tree traversal algorithms Discuss a binary tree implementation Examine a binary tree

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

7.1 Introduction. A (free) tree T is A simple graph such that for every pair of vertices v and w there is a unique path from v to w

7.1 Introduction. A (free) tree T is A simple graph such that for every pair of vertices v and w there is a unique path from v to w Chapter 7 Trees 7.1 Introduction A (free) tree T is A simple graph such that for every pair of vertices v and w there is a unique path from v to w Tree Terminology Parent Ancestor Child Descendant Siblings

More information

CS61BL. Lecture 3: Asymptotic Analysis Trees & Tree Traversals Stacks and Queues Binary Search Trees (and other trees)

CS61BL. Lecture 3: Asymptotic Analysis Trees & Tree Traversals Stacks and Queues Binary Search Trees (and other trees) CS61BL Lecture 3: Asymptotic Analysis Trees & Tree Traversals Stacks and Queues Binary Search Trees (and other trees) Program Efficiency How much memory a program uses Memory is cheap How much time a

More information

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1 Data Structure using C++ Lecture 04 Reading Material Data Structures and algorithm analysis in C++ Chapter. 3 3.1, 3.2, 3.2.1 Summary Infix to Postfix Example 1: Infix to Postfix Example 2: Postfix Evaluation

More information

Trees! Ellen Walker! CPSC 201 Data Structures! Hiram College!

Trees! Ellen Walker! CPSC 201 Data Structures! Hiram College! Trees! Ellen Walker! CPSC 201 Data Structures! Hiram College! ADTʼs Weʼve Studied! Position-oriented ADT! List! Stack! Queue! Value-oriented ADT! Sorted list! All of these are linear! One previous item;

More information

Course Review. Cpt S 223 Fall 2009

Course Review. Cpt S 223 Fall 2009 Course Review Cpt S 223 Fall 2009 1 Final Exam When: Tuesday (12/15) 8-10am Where: in class Closed book, closed notes Comprehensive Material for preparation: Lecture slides & class notes Homeworks & program

More information

Department of Computer Science and Technology

Department of Computer Science and Technology UNIT : Stack & Queue Short Questions 1 1 1 1 1 1 1 1 20) 2 What is the difference between Data and Information? Define Data, Information, and Data Structure. List the primitive data structure. List the

More information

DATA STRUCTURE UNIT I

DATA STRUCTURE UNIT I DATA STRUCTURE UNIT I 1. What is Data Structure? A data structure is a mathematical or logical way of organizing data in the memory that consider not only the items stored but also the relationship to

More information

DYNAMIC MEMORY ALLOCATION AND DEALLOCATION

DYNAMIC MEMORY ALLOCATION AND DEALLOCATION COURSE TITLE DATA STRUCTURE DETAILED SYLLABUS SR.NO NAME OF CHAPTERS & DETAILS HOURS ALLOTTED 1 USER DEFINED DATATYPE /STRUCTURE About structure Defining structure Accessing structure element Array of

More information

Draw a diagram of an empty circular queue and describe it to the reader.

Draw a diagram of an empty circular queue and describe it to the reader. 1020_1030_testquestions.text Wed Sep 10 10:40:46 2014 1 1983/84 COSC1020/30 Tests >>> The following was given to students. >>> Students can have a good idea of test questions by examining and trying the

More information

MID TERM MEGA FILE SOLVED BY VU HELPER Which one of the following statement is NOT correct.

MID TERM MEGA FILE SOLVED BY VU HELPER Which one of the following statement is NOT correct. MID TERM MEGA FILE SOLVED BY VU HELPER Which one of the following statement is NOT correct. In linked list the elements are necessarily to be contiguous In linked list the elements may locate at far positions

More information

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS 3//15 1 AD: Abstract Data ype 2 Just like a type: Bunch of values together with operations on them. Used often in discussing data structures Important: he definition says ntthing about the implementation,

More information

Binary Search Tree Binary Search tree is a binary tree in which each internal node x stores an element such that the element stored in the left subtree of x are less than or equal to x and elements stored

More information

Stack Abstract Data Type

Stack Abstract Data Type Stacks Chapter 5 Chapter Objectives To learn about the stack data type and how to use its four methods: push, pop, peek, and empty To understand how Java implements a stack To learn how to implement a

More information

Data Abstractions. National Chiao Tung University Chun-Jen Tsai 05/23/2012

Data Abstractions. National Chiao Tung University Chun-Jen Tsai 05/23/2012 Data Abstractions National Chiao Tung University Chun-Jen Tsai 05/23/2012 Concept of Data Structures How do we store some conceptual structure in a linear memory? For example, an organization chart: 2/32

More information

Algorithm Class. C C++ DS JAVA DATA STRUCTURES TRAINING INSTITUTE KPHB HYDERABAD. Mobile:

Algorithm Class.   C C++ DS JAVA DATA STRUCTURES TRAINING INSTITUTE KPHB HYDERABAD. Mobile: C C++ DS JAVA DATA STRUCTURES TRAINING INSTITUTE KPHB HYDERABAD Algorithm Class Mobile: +91-9963930865 https://sites.google.com/site/algorithmclass Data Structures for interviews Course details By Algorithm

More information

Stacks. Revised based on textbook author s notes.

Stacks. Revised based on textbook author s notes. Stacks Revised based on textbook author s notes. Stacks A restricted access container that stores a linear collection. Very common for solving problems in computer science. Provides a last-in first-out

More information

Separate Compilation and Namespaces Week Fall. Computer Programming for Engineers

Separate Compilation and Namespaces Week Fall. Computer Programming for Engineers Separate Compilation and Namespaces Week 07 Fall Computer Programming for Engineers Problem Multiplied palindrome number Multiplied palindrome number A number is called as a palindrome when you can read

More information

infix expressions (review)

infix expressions (review) Outline infix, prefix, and postfix expressions queues queue interface queue applications queue implementation: array queue queue implementation: linked queue application of queues and stacks: data structure

More information

F453 Module 7: Programming Techniques. 7.2: Methods for defining syntax

F453 Module 7: Programming Techniques. 7.2: Methods for defining syntax 7.2: Methods for defining syntax 2 What this module is about In this module we discuss: explain how functions, procedures and their related variables may be used to develop a program in a structured way,

More information

Stack Applications. Lecture 27 Sections Robb T. Koether. Hampden-Sydney College. Wed, Mar 29, 2017

Stack Applications. Lecture 27 Sections Robb T. Koether. Hampden-Sydney College. Wed, Mar 29, 2017 Stack Applications Lecture 27 Sections 18.7-18.8 Robb T. Koether Hampden-Sydney College Wed, Mar 29, 2017 Robb T. Koether Hampden-Sydney College) Stack Applications Wed, Mar 29, 2017 1 / 27 1 Function

More information

How to Win Coding Competitions: Secrets of Champions. Week 2: Computational complexity. Linear data structures Lecture 5: Stack. Queue.

How to Win Coding Competitions: Secrets of Champions. Week 2: Computational complexity. Linear data structures Lecture 5: Stack. Queue. How to Win Coding Competitions: Secrets of Champions Week 2: Computational complexity. Linear data structures Lecture 5: Stack. Queue. Deque Pavel Krotkov Saint Petersburg 2016 General overview Stack,

More information

CSE 373 APRIL 17 TH TREE BALANCE AND AVL

CSE 373 APRIL 17 TH TREE BALANCE AND AVL CSE 373 APRIL 17 TH TREE BALANCE AND AVL ASSORTED MINUTIAE HW3 due Wednesday Double check submissions Use binary search for SADict Midterm text Friday Review in Class on Wednesday Testing Advice Empty

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

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved Stacks Chapter 5 Contents Specifications of the ADT Stack Using a Stack to Process Algebraic Expressions A Problem Solved: Checking for Balanced Delimiters in an Infix Algebraic Expression A Problem Solved:

More information

An Introduction to Trees

An Introduction to Trees An Introduction to Trees Alice E. Fischer Spring 2017 Alice E. Fischer An Introduction to Trees... 1/34 Spring 2017 1 / 34 Outline 1 Trees the Abstraction Definitions 2 Expression Trees 3 Binary Search

More information

Data Structures, Algorithms & Data Science Platforms

Data Structures, Algorithms & Data Science Platforms Indian Institute of Science Bangalore, India भ रत य व ज ञ न स स थ न ब गल र, भ रत Department of Computational and Data Sciences DS221 19 Sep 19 Oct, 2017 Data Structures, Algorithms & Data Science Platforms

More information

EC8393FUNDAMENTALS OF DATA STRUCTURES IN C Unit 3

EC8393FUNDAMENTALS OF DATA STRUCTURES IN C Unit 3 UNIT 3 LINEAR DATA STRUCTURES 1. Define Data Structures Data Structures is defined as the way of organizing all data items that consider not only the elements stored but also stores the relationship between

More information

CMSC Introduction to Algorithms Spring 2012 Lecture 7

CMSC Introduction to Algorithms Spring 2012 Lecture 7 CMSC 351 - Introduction to Algorithms Spring 2012 Lecture 7 Instructor: MohammadTaghi Hajiaghayi Scribe: Rajesh Chitnis 1 Introduction In this lecture we give an introduction to Data Structures like arrays,

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

CS61B Lecture #20: Trees. Last modified: Wed Oct 12 12:49: CS61B: Lecture #20 1

CS61B Lecture #20: Trees. Last modified: Wed Oct 12 12:49: CS61B: Lecture #20 1 CS61B Lecture #2: Trees Last modified: Wed Oct 12 12:49:46 216 CS61B: Lecture #2 1 A Recursive Structure Trees naturally represent recursively defined, hierarchical objects with more than one recursive

More information

Recursive Data Structures and Grammars

Recursive Data Structures and Grammars Recursive Data Structures and Grammars Themes Recursive Description of Data Structures Grammars and Parsing Recursive Definitions of Properties of Data Structures Recursive Algorithms for Manipulating

More information

Cpt S 122 Data Structures. Course Review FINAL. Nirmalya Roy School of Electrical Engineering and Computer Science Washington State University

Cpt S 122 Data Structures. Course Review FINAL. Nirmalya Roy School of Electrical Engineering and Computer Science Washington State University Cpt S 122 Data Structures Course Review FINAL Nirmalya Roy School of Electrical Engineering and Computer Science Washington State University Final When: Wednesday (12/12) 1:00 pm -3:00 pm Where: In Class

More information

CSC148 Week 6. Larry Zhang

CSC148 Week 6. Larry Zhang CSC148 Week 6 Larry Zhang 1 Announcements Test 1 coverage: trees (topic of today and Wednesday) are not covered Assignment 1 slides posted on the course website. 2 Data Structures 3 Data Structures A data

More information

Computer Science 210 Data Structures Siena College Fall Topic Notes: Trees

Computer Science 210 Data Structures Siena College Fall Topic Notes: Trees Computer Science 0 Data Structures Siena College Fall 08 Topic Notes: Trees We ve spent a lot of time looking at a variety of structures where there is a natural linear ordering of the elements in arrays,

More information

Abstract Data Structures IB Computer Science. Content developed by Dartford Grammar School Computer Science Department

Abstract Data Structures IB Computer Science. Content developed by Dartford Grammar School Computer Science Department Abstract Data Structures IB Computer Science Content developed by Dartford Grammar School Computer Science Department HL Topics 1-7, D1-4 1: System design 2: Computer Organisation 3: Networks 4: Computational

More information

ECE Spring 2018 Problem Set #0 Due: 1/30/18

ECE Spring 2018 Problem Set #0 Due: 1/30/18 ECE 45234 - Spring 2018 Problem Set #0 Due: 1/30/18 The purpose of this first problem set is to remind you of the material you need from 2574 and help get you up-to-speed with python. This course uses

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

CSE 332: Data Structures. Spring 2016 Richard Anderson Lecture 1

CSE 332: Data Structures. Spring 2016 Richard Anderson Lecture 1 CSE 332: Data Structures Spring 2016 Richard Anderson Lecture 1 CSE 332 Team Instructors: Richard Anderson anderson at cs TAs: Hunter Zahn, Andrew Li hzahn93 at cs lia4 at cs 2 Today s Outline Introductions

More information

Course Review for Finals. Cpt S 223 Fall 2008

Course Review for Finals. Cpt S 223 Fall 2008 Course Review for Finals Cpt S 223 Fall 2008 1 Course Overview Introduction to advanced data structures Algorithmic asymptotic analysis Programming data structures Program design based on performance i.e.,

More information

CSI33 Data Structures

CSI33 Data Structures Outline Department of Mathematics and Computer Science Bronx Community College November 13, 2017 Outline Outline 1 C++ Supplement.1: Trees Outline C++ Supplement.1: Trees 1 C++ Supplement.1: Trees Uses

More information

tree nonlinear Examples

tree nonlinear Examples The Tree ADT Objectives Define trees as data structures Define the terms associated with trees Discuss tree traversal algorithms Discuss a binary tree implementation Examine a binary tree example 10-2

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

End-Term Examination Second Semester [MCA] MAY-JUNE 2006

End-Term Examination Second Semester [MCA] MAY-JUNE 2006 (Please write your Roll No. immediately) Roll No. Paper Code: MCA-102 End-Term Examination Second Semester [MCA] MAY-JUNE 2006 Subject: Data Structure Time: 3 Hours Maximum Marks: 60 Note: Question 1.

More information

Introduction to Computers and Programming. Concept Question

Introduction to Computers and Programming. Concept Question Introduction to Computers and Programming Prof. I. K. Lundqvist Lecture 7 April 2 2004 Concept Question G1(V1,E1) A graph G(V, where E) is V1 a finite = {}, nonempty E1 = {} set of G2(V2,E2) vertices and

More information

COP 3502 Section 2 Exam #2 Version A Spring /23/2017

COP 3502 Section 2 Exam #2 Version A Spring /23/2017 COP 3502 Section 2 Exam #2 Version A Spring 2017 3/23/2017 Lecturer: Arup Guha Directions: Answer all multiple choice questions on the scantron. Each question has a single correct answer. In case of ambiguities,

More information

CS8391-DATA STRUCTURES QUESTION BANK UNIT I

CS8391-DATA STRUCTURES QUESTION BANK UNIT I CS8391-DATA STRUCTURES QUESTION BANK UNIT I 2MARKS 1.Define data structure. The data structure can be defined as the collection of elements and all the possible operations which are required for those

More information

Tree. A path is a connected sequence of edges. A tree topology is acyclic there is no loop.

Tree. A path is a connected sequence of edges. A tree topology is acyclic there is no loop. Tree A tree consists of a set of nodes and a set of edges connecting pairs of nodes. A tree has the property that there is exactly one path (no more, no less) between any pair of nodes. A path is a connected

More information

CS2383 Programming Assignment 3

CS2383 Programming Assignment 3 CS2383 Programming Assignment 3 October 18, 2014 due: November 4 Due at the end of our class period. Due to the midterm and the holiday, the assignment will be accepted with a 10% penalty until the end

More information

Tree Applications. Processing sentences (computer programs or natural languages) Searchable data structures

Tree Applications. Processing sentences (computer programs or natural languages) Searchable data structures Tree Applications Processing sentences (computer programs or natural languages) Searchable data structures Heaps (implement heap sort, priority queues) A Parse (Expression) Tree Source language program

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

COMP 250 Fall binary trees Oct. 27, 2017

COMP 250 Fall binary trees Oct. 27, 2017 The order of a (rooted) tree is the maximum number of children of any node. A tree of order n is called an n-ary tree. It is very common to use trees of order 2. These are called binary trees. Binary Trees

More information

Chapter 20: Binary Trees

Chapter 20: Binary Trees Chapter 20: Binary Trees 20.1 Definition and Application of Binary Trees Definition and Application of Binary Trees Binary tree: a nonlinear linked list in which each node may point to 0, 1, or two other

More information

Stacks, Queues & Trees. The Stack Interface. The Stack Interface. Harald Gall, Prof. Dr.

Stacks, Queues & Trees. The Stack Interface. The Stack Interface. Harald Gall, Prof. Dr. Stacks, Queues & Trees Harald Gall, Prof. Dr. Institut für Informatik Universität Zürich http://seal.ifi.uzh.ch The Stack Interface Stack Data structure holding several items. New items added to the top

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