Data Structures and Algorithms in C++

Size: px
Start display at page:

Download "Data Structures and Algorithms in C++"

Transcription

1 Data Structures and Algorithms in C++ Second Edition Michael T. Goodrich Department of Computer Science University of California, Irvine Roberto Tamassia Department of Computer Science Brown University David M. Mount Department of Computer Science University of Maryland John Wiley & Sons, Inc.

2 Contents 1 A C++ Primer Basic C++ Programming Elements A Simple C++ Program Fundamental Types Pointers, Arrays, and Structures Named Constants, Scope, and Namespaces Expressions Changing Types through Casting Control Flow Functions Argument Passing Overloading and Inlining Classes Class Structure Constructors and Destructors Classes and Memory Allocation Class Friends and Class Members The Standard Template Library C++ Program and File Organization An Example Program Writing a C++ Program Design Pseudo-Code Coding Testing and Debugging Exercises 60 2 Object-Oriented Design Goals, Principles, and Patterns Object-Oriented Design Goals Object-Oriented Design Principles Design Patterns 70 xv

3 xvi Contents 2.2 Inheritance and Polymorphism Inheritance in C Polymorphism Examples of Inheritance in C Multiple Inheritance and Class Casting Interfaces and Abstract Classes Templates Function Templates Class Templates Exceptions Exception Objects Throwing and Catching Exceptions Exception Specification Exercises 98 3 Arrays, Linked Lists, and Recursion Using Arrays Storing Game Entries in an Array Sorting an Array Two-Dimensional Arrays and Positional Games Ill 3.2 Singly Linked Lists Implementing a Singly Linked List Insertion to the Front of a Singly Linked List Removal from the Front of a Singly Linked List Implementing a Generic Singly Linked List Doubly Linked Lists Insertion into a Doubly Linked List Removal from a Doubly Linked List A C++ Implementation Circularly Linked Lists and List Reversal Circularly Linked Lists Reversing a Linked List Recursion Linear Recursion Binary Recursion Multiple Recursion Exercises Analysis Tools The Seven Functions Used in This Book The Constant Function The Logarithm Function 154

4 Contents xvii The Linear Function The N-Log-N Function The Quadratic Function The Cubic Function and Other Polynomials The Exponential Function Comparing Growth Rates Analysis of Algorithms Experimental Studies Primitive Operations Asymptotic Notation Asymptotic Analysis Using the Big-Oh Notation A Recursive Algorithm for Computing Powers Some More Examples of Algorithm Analysis Simple Justification Techniques By Example The "Contra" Attack Induction and Loop Invariants Exercises Stacks, Queues, and Deques Stacks The Stack Abstract Data Type The STL Stack A C++ Stack Interface A Simple Array-Based Stack Implementation Implementing a Stack with a Generic Linked List Reversing a Vector Using a Stack Matching Parentheses and HTML Tags Queues The Queue Abstract Data Type The STL Queue A C++ Queue Interface A Simple Array-Based Implementation Implementing a Queue with a Circularly Linked List Double-Ended Queues The Deque Abstract Data Type The STL Deque Implementing a Deque with a Doubly Linked List Adapters and the Adapter Design Pattern Exercises 223

5 xviii Contents 6 List and Iterator ADTs Vectors The Vector Abstract Data Type A Simple Array-Based Implementation An Extendable Array Implementation STL Vectors Lists Node-Based Operations and Iterators The List Abstract Data Type Doubly Linked List Implementation STL Lists STL Containers and Iterators Sequences The Sequence Abstract Data Type Implementing a Sequence with a Doubly Linked List Implementing a Sequence with an Array Case Study: Bubble-Sort on a Sequence The Bubble-Sort Algorithm A Sequence-Based Analysis of Bubble-Sort Exercises Trees General Trees Tree Definitions and Properties Tree Functions A C++ Tree Interface A Linked Structure for General Trees Tree Traversal Algorithms Depth and Height Preorder Traversal Postorder Traversal Binary Trees The Binary Tree ADT A C++ Binary Tree Interface Properties of Binary Trees A Linked Structure for Binary Trees A Vector-Based Structure for Binary Trees Traversals of a Binary Tree The Template Function Pattern Representing General Trees with Binary Trees Exercises 310

6 Contents xix 8 Heaps and Priority Queues The Priority Queue Abstract Data Type Keys, Priorities, and Total Order Relations Comparators The Priority Queue ADT A C++ Priority Queue Interface Sorting with a Priority Queue The STL priority.queue Class Implementing a Priority Queue with a List A C++ Priority Queue Implementation using a List Selection-Sort and Insertion-Sort Heaps The Heap Data Structure Complete Binary Trees and Their Representation Implementing a Priority Queue with a Heap C++ Implementation Heap-Sort Bottom-Up Heap Construction ~k Adaptable Priority Queues A List-Based Implementation Location-Aware Entries Exercises Hash Tables, Maps, and Skip Lists Maps The Map ADT A C++ Map Interface The STL map Class A Simple List-Based Map Implementation Hash Tables Bucket Arrays Hash Functions Hash Codes Compression Functions Collision-Handling Schemes Load Factors and Rehashing A C++ Hash Table Implementation Ordered Maps Ordered Search Tables and Binary Search Two Applications of Ordered Maps Skip Lists 402

7 xx Contents Search and Update Operations in a Skip List A Probabilistic Analysis of Skip Lists * Dictionaries The Dictionary ADT A C++ Dictionary Implementation Implementations with Location-Aware Entries Exercises Search Trees Binary Search Trees Searching Update Operations C++Implementation of a Binary Search Tree AVL Trees Update Operations C++ Implementation of an AVL Tree Splay Trees Splaying When to Splay Amortized Analysis of Splaying ~k (2,4) Trees Multi-Way Search Trees Update Operations for (2,4) Trees Red-Black Trees Update Operations C++ Implementation of a Red-Black Tree Exercises Sorting, Sets, and Selection Merge-Sort Divide-and-Conquer Merging Arrays and Lists The Running Time of Merge-Sort C++ Implementations of Merge-Sort Merge-Sort and Recurrence Equations "A" Quick-Sort Randomized Quick-Sort C++ Implementations and Optimizations Studying Sorting through an Algorithmic Lens A Lower Bound for Sorting Linear-Time Sorting: Bucket-Sort and Radix-Sort Comparing Sorting Algorithms 531

8 Contents xxi 11.4 Sets and Union/Find Structures The Set ADT Mergable Sets and the Template Method Pattern Partitions with Union-Find Operations Selection Prune-and-Search Randomized Quick-Select Analyzing Randomized Quick-Select Exercises Strings and Dynamic Programming String Operations The STL String Class Dynamic Programming Matrix Chain-Product DNA and Text Sequence Alignment Pattern Matching Algorithms Brute Force The Boyer-Moore Algorithm The Knuth-Morris-Pratt Algorithm Text Compression and the Greedy Method The Huffman-Coding Algorithm The Greedy Method Tries Standard Tries Compressed Tries Suffix Tries Search Engines Exercises Graph Algorithms Graphs The Graph ADT Data Structures for Graphs The Edge List Structure The Adjacency List Structure The Adjacency Matrix Structure Graph Traversals Depth-First Search Implementing Depth-First Search A Generic DFS Implementation in C Polymorphic Objects and Decorator Values ~k 621

9 xxii Contents Breadth-First Search Directed Graphs Traversing a Digraph Transitive Closure Directed Acyclic Graphs Shortest Paths Weighted Graphs Dijkstra's Algorithm Minimum Spanning Trees Kruskal's Algorithm The Prim-Jarm'k Algorithm Exercises Memory Management and B-Trees Memory Management Memory Allocation in C Garbage Collection External Memory and Caching The Memory Hierarchy Caching Strategies External Searching and B-Trees (a,b) Trees B-Trees External-Memory Sorting Multi-Way Merging Exercises 685 A Useful Mathematical Facts 689 Bibliography 697 Index 702

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

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

DATA STRUCTURES USING C

DATA STRUCTURES USING C DATA STRUCTURES USING C QUESTION BANK UNIT I 1. Define data. 2. Define Entity. 3. Define information. 4. Define Array. 5. Define data structure. 6. Give any two applications of data structures. 7. Give

More 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

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

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

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

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

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

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

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

Algorithms and data structures

Algorithms and data structures Algorithms and data structures This course will examine various data structures for storing and accessing information together with relationships between the items being stored, and algorithms for efficiently

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

Programming Using Python

Programming Using Python Introduction to Computation and Programming Using Python Revised and Expanded Edition John V. Guttag The MIT Press Cambridge, Massachusetts London, England CONTENTS PREFACE xiii ACKNOWLEDGMENTS xv 1 GETTING

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

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

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

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

Binary Heap Algorithms

Binary Heap Algorithms CS Data Structures and Algorithms Lecture Slides Wednesday, April 5, 2009 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks CHAPPELLG@member.ams.org 2005 2009 Glenn G. Chappell

More information

Sample Syllabus (C++) CSCI 1301 Introduction to Programming Principles

Sample Syllabus (C++) CSCI 1301 Introduction to Programming Principles Sample Syllabus (C++) CSCI 1301 Introduction to Programming Principles Knowledge Areas that contain topics and learning outcomes covered in the course Knowledge Areas Total Hours of Coverage Software Development

More information

Java 6 'th. Concepts INTERNATIONAL STUDENT VERSION. edition

Java 6 'th. Concepts INTERNATIONAL STUDENT VERSION. edition Java 6 'th edition Concepts INTERNATIONAL STUDENT VERSION CONTENTS PREFACE vii SPECIAL FEATURES xxviii chapter i INTRODUCTION 1 1.1 What Is Programming? 2 J.2 The Anatomy of a Computer 3 1.3 Translating

More information

PARALLEL PROGRAMMING

PARALLEL PROGRAMMING PARALLEL PROGRAMMING TECHNIQUES AND APPLICATIONS USING NETWORKED WORKSTATIONS AND PARALLEL COMPUTERS 2nd Edition BARRY WILKINSON University of North Carolina at Charlotte Western Carolina University MICHAEL

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

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 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

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

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

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

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

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

PROBLEM SOLVING SEVENTH EDITION WALTER SAVITCH UNIVERSITY OF CALIFORNIA, SAN DIEGO CONTRIBUTOR KENRICK MOCK UNIVERSITY OF ALASKA, ANCHORAGE PEARSON

PROBLEM SOLVING SEVENTH EDITION WALTER SAVITCH UNIVERSITY OF CALIFORNIA, SAN DIEGO CONTRIBUTOR KENRICK MOCK UNIVERSITY OF ALASKA, ANCHORAGE PEARSON PROBLEM SOLVING WITH SEVENTH EDITION WALTER SAVITCH UNIVERSITY OF CALIFORNIA, SAN DIEGO CONTRIBUTOR KENRICK MOCK UNIVERSITY OF ALASKA, ANCHORAGE PEARSON Addison Wesley Boston San Francisco New York London

More information

Heaps & Priority Queues in the C++ STL 2-3 Trees

Heaps & Priority Queues in the C++ STL 2-3 Trees Heaps & Priority Queues in the C++ STL 2-3 Trees CS 3 Data Structures and Algorithms Lecture Slides Friday, April 7, 2009 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks

More information

Outline BST Operations Worst case Average case Balancing AVL Red-black B-trees. Binary Search Trees. Lecturer: Georgy Gimel farb

Outline BST Operations Worst case Average case Balancing AVL Red-black B-trees. Binary Search Trees. Lecturer: Georgy Gimel farb Binary Search Trees Lecturer: Georgy Gimel farb COMPSCI 220 Algorithms and Data Structures 1 / 27 1 Properties of Binary Search Trees 2 Basic BST operations The worst-case time complexity of BST operations

More information

Persistent Binary Search Trees

Persistent Binary Search Trees Persistent Binary Search Trees Datastructures, UvA. May 30, 2008 0440949, Andreas van Cranenburgh Abstract A persistent binary tree allows access to all previous versions of the tree. This paper presents

More information

DIVISION OF INFORMATION TECHNOLOGY PROGRAMS AND SYSTEMS SUPPORT FALL 2015 / Spring 2016

DIVISION OF INFORMATION TECHNOLOGY PROGRAMS AND SYSTEMS SUPPORT FALL 2015 / Spring 2016 DIVISION OF INFORMATION TECHNOLOGY PROGRAMS AND SYSTEMS SUPPORT FALL 2015 / Spring 2016 CLASS NUMBER/NAME: COSC 2436 PROGRAMMING FUNDAMENTALS III SECTION NUMBER: 5280 CLASS DAYS/HOURS: Period 5-9:15 10:50

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

Computing Concepts with Java Essentials

Computing Concepts with Java Essentials 2008 AGI-Information Management Consultants May be used for personal purporses only or by libraries associated to dandelon.com network. Computing Concepts with Java Essentials 3rd Edition Cay Horstmann

More information

Basic Programming and PC Skills: Basic Programming and PC Skills:

Basic Programming and PC Skills: Basic Programming and PC Skills: Texas University Interscholastic League Contest Event: Computer Science The contest challenges high school students to gain an understanding of the significance of computation as well as the details of

More information

Sorting revisited. Build the binary search tree: O(n^2) Traverse the binary tree: O(n) Total: O(n^2) + O(n) = O(n^2)

Sorting revisited. Build the binary search tree: O(n^2) Traverse the binary tree: O(n) Total: O(n^2) + O(n) = O(n^2) Sorting revisited How did we use a binary search tree to sort an array of elements? Tree Sort Algorithm Given: An array of elements to sort 1. Build a binary search tree out of the elements 2. Traverse

More information

How To Teach C++ Data Structure Programming

How To Teach C++ Data Structure Programming UTSA EE 3223 - C++ Data Structures Syllabus Fall 2015 Part A - Course Outline Catalog Description: 3 hours credit. Review of C/C++ non-object oriented programming concepts. Object-oriented programming

More information

Formal Engineering for Industrial Software Development

Formal Engineering for Industrial Software Development Shaoying Liu Formal Engineering for Industrial Software Development Using the SOFL Method With 90 Figures and 30 Tables Springer Contents Introduction 1 1.1 Software Life Cycle... 2 1.2 The Problem 4 1.3

More information

Data Structures and Algorithms Written Examination

Data Structures and Algorithms Written Examination Data Structures and Algorithms Written Examination 22 February 2013 FIRST NAME STUDENT NUMBER LAST NAME SIGNATURE Instructions for students: Write First Name, Last Name, Student Number and Signature where

More information

ML for the Working Programmer

ML for the Working Programmer ML for the Working Programmer 2nd edition Lawrence C. Paulson University of Cambridge CAMBRIDGE UNIVERSITY PRESS CONTENTS Preface to the Second Edition Preface xiii xv 1 Standard ML 1 Functional Programming

More information

Mathematics for Algorithm and System Analysis

Mathematics for Algorithm and System Analysis Mathematics for Algorithm and System Analysis for students of computer and computational science Edward A. Bender S. Gill Williamson c Edward A. Bender & S. Gill Williamson 2005. All rights reserved. Preface

More information

Glossary of Object Oriented Terms

Glossary of Object Oriented Terms Appendix E Glossary of Object Oriented Terms abstract class: A class primarily intended to define an instance, but can not be instantiated without additional methods. abstract data type: An abstraction

More 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

Structural Design Patterns Used in Data Structures Implementation

Structural Design Patterns Used in Data Structures Implementation Structural Design Patterns Used in Data Structures Implementation Niculescu Virginia Department of Computer Science Babeş-Bolyai University, Cluj-Napoca email address: vniculescu@cs.ubbcluj.ro November,

More information

CS5310 Algorithms 3 credit hours 2 hours lecture and 2 hours recitation every week

CS5310 Algorithms 3 credit hours 2 hours lecture and 2 hours recitation every week CS5310 Algorithms 3 credit hours 2 hours lecture and 2 hours recitation every week This course is a continuation of the study of data structures and algorithms, emphasizing methods useful in practice.

More information

Curriculum Map. Discipline: Computer Science Course: C++

Curriculum Map. Discipline: Computer Science Course: C++ Curriculum Map Discipline: Computer Science Course: C++ August/September: How can computer programs make problem solving easier and more efficient? In what order does a computer execute the lines of code

More information

Sequences in the C++ STL

Sequences in the C++ STL CS 311 Data Structures and Algorithms Lecture Slides Wednesday, November 4, 2009 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks CHAPPELLG@member.ams.org 2005 2009 Glenn

More 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

Chapter 8: Bags and Sets

Chapter 8: Bags and Sets Chapter 8: Bags and Sets In the stack and the queue abstractions, the order that elements are placed into the container is important, because the order elements are removed is related to the order in which

More 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

Computer. Course Description

Computer. Course Description Computer Science Computer Science A Computer Science AB Course Description May 2009 The College Board: Connecting Students to College Success The College Board is a not-for-profit membership association

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

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

1 FCS Project Submission System

1 FCS Project Submission System 1 FCS Project Submission System Teachers at FCS currently accept digital homework via email. However, email is cumbersome, because teachers must individually download the attached homework from every student,

More information

Fast Sequential Summation Algorithms Using Augmented Data Structures

Fast Sequential Summation Algorithms Using Augmented Data Structures Fast Sequential Summation Algorithms Using Augmented Data Structures Vadim Stadnik vadim.stadnik@gmail.com Abstract This paper provides an introduction to the design of augmented data structures that offer

More information

Linked Lists: Implementation Sequences in the C++ STL

Linked Lists: Implementation Sequences in the C++ STL Linked Lists: Implementation Sequences in the C++ STL continued CS 311 Data Structures and Algorithms Lecture Slides Wednesday, April 1, 2009 Glenn G. Chappell Department of Computer Science University

More information

Introduction to Algorithms March 10, 2004 Massachusetts Institute of Technology Professors Erik Demaine and Shafi Goldwasser Quiz 1.

Introduction to Algorithms March 10, 2004 Massachusetts Institute of Technology Professors Erik Demaine and Shafi Goldwasser Quiz 1. Introduction to Algorithms March 10, 2004 Massachusetts Institute of Technology 6.046J/18.410J Professors Erik Demaine and Shafi Goldwasser Quiz 1 Quiz 1 Do not open this quiz booklet until you are directed

More information

The Union-Find Problem Kruskal s algorithm for finding an MST presented us with a problem in data-structure design. As we looked at each edge,

The Union-Find Problem Kruskal s algorithm for finding an MST presented us with a problem in data-structure design. As we looked at each edge, The Union-Find Problem Kruskal s algorithm for finding an MST presented us with a problem in data-structure design. As we looked at each edge, cheapest first, we had to determine whether its two endpoints

More information

Dynamic Programming. Lecture 11. 11.1 Overview. 11.2 Introduction

Dynamic Programming. Lecture 11. 11.1 Overview. 11.2 Introduction Lecture 11 Dynamic Programming 11.1 Overview Dynamic Programming is a powerful technique that allows one to solve many different types of problems in time O(n 2 ) or O(n 3 ) for which a naive approach

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

A Comparison of Dictionary Implementations

A Comparison of Dictionary Implementations A Comparison of Dictionary Implementations Mark P Neyer April 10, 2009 1 Introduction A common problem in computer science is the representation of a mapping between two sets. A mapping f : A B is a function

More information

The Tower of Hanoi. Recursion Solution. Recursive Function. Time Complexity. Recursive Thinking. Why Recursion? n! = n* (n-1)!

The Tower of Hanoi. Recursion Solution. Recursive Function. Time Complexity. Recursive Thinking. Why Recursion? n! = n* (n-1)! The Tower of Hanoi Recursion Solution recursion recursion recursion Recursive Thinking: ignore everything but the bottom disk. 1 2 Recursive Function Time Complexity Hanoi (n, src, dest, temp): If (n >

More 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

340368 - FOPR-I1O23 - Fundamentals of Programming

340368 - FOPR-I1O23 - Fundamentals of Programming Coordinating unit: 340 - EPSEVG - Vilanova i la Geltrú School of Engineering Teaching unit: 723 - CS - Department of Computer Science Academic year: Degree: 2015 BACHELOR'S DEGREE IN INFORMATICS ENGINEERING

More information

Social Media Mining. Graph Essentials

Social Media Mining. Graph Essentials Graph Essentials Graph Basics Measures Graph and Essentials Metrics 2 2 Nodes and Edges A network is a graph nodes, actors, or vertices (plural of vertex) Connections, edges or ties Edge Node Measures

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

Class Notes for CSCI 104: Data Structures and Object-Oriented Design

Class Notes for CSCI 104: Data Structures and Object-Oriented Design Class Notes for CSCI 104: Data Structures and Object-Oriented Design David Kempe and the awesome Fall 2013 sherpas August 12, 2016 2 Preface These lecture notes grew out of class notes provided for the

More information

Using Web-based Tools to Enhance Student Learning and Practice in Data Structures Course

Using Web-based Tools to Enhance Student Learning and Practice in Data Structures Course Using Web-based Tools to Enhance Student Learning and Practice in Data Structures Course 1. Introduction Chao Chen January 2014 The purpose of this project is to enhance student learning and practice in

More information

Class Overview. CSE 326: Data Structures. Goals. Goals. Data Structures. Goals. Introduction

Class Overview. CSE 326: Data Structures. Goals. Goals. Data Structures. Goals. Introduction Class Overview CSE 326: Data Structures Introduction Introduction to many of the basic data structures used in computer software Understand the data structures Analyze the algorithms that use them Know

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

B-Trees. Algorithms and data structures for external memory as opposed to the main memory B-Trees. B -trees

B-Trees. Algorithms and data structures for external memory as opposed to the main memory B-Trees. B -trees B-Trees Algorithms and data structures for external memory as opposed to the main memory B-Trees Previous Lectures Height balanced binary search trees: AVL trees, red-black trees. Multiway search trees:

More 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

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 221] edge. parent

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 221] edge. parent CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 221] Trees Important terminology: edge root node parent Some uses of trees: child leaf model arithmetic expressions and other expressions

More information

Algorithm Homework and Test Problems

Algorithm Homework and Test Problems Algorithm Homework and Test Problems Steven S. Skiena Department of Computer Science State University of New York Stony Brook, NY 11794-4400 skiena@cs.sunysb.edu January 29, 2006 All of the midterm and

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

Learning Outcomes. COMP202 Complexity of Algorithms. Binary Search Trees and Other Search Trees

Learning Outcomes. COMP202 Complexity of Algorithms. Binary Search Trees and Other Search Trees Learning Outcomes COMP202 Complexity of Algorithms Binary Search Trees and Other Search Trees [See relevant sections in chapters 2 and 3 in Goodrich and Tamassia.] At the conclusion of this set of lecture

More information

Java EE Web Development Course Program

Java EE Web Development Course Program Java EE Web Development Course Program Part I Introduction to Programming 1. Introduction to programming. Compilers, interpreters, virtual machines. Primitive types, variables, basic operators, expressions,

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

Recursive Implementation of Recursive Data Structures

Recursive Implementation of Recursive Data Structures Recursive Implementation of Recursive Data Structures Jonathan Yackel Computer Science Department University of Wisconsin Oshkosh Oshkosh, WI 54901 yackel@uwosh.edu Abstract The elegant recursive definitions

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

Java Application Developer Certificate Program Competencies

Java Application Developer Certificate Program Competencies Java Application Developer Certificate Program Competencies After completing the following units, you will be able to: Basic Programming Logic Explain the steps involved in the program development cycle

More information

Programming Language Pragmatics

Programming Language Pragmatics Programming Language Pragmatics THIRD EDITION Michael L. Scott Department of Computer Science University of Rochester ^ШШШШШ AMSTERDAM BOSTON HEIDELBERG LONDON, '-*i» ЩЛ< ^ ' m H NEW YORK «OXFORD «PARIS»SAN

More information

Please consult the Department of Engineering about the Computer Engineering Emphasis.

Please consult the Department of Engineering about the Computer Engineering Emphasis. COMPUTER SCIENCE Computer science is a dynamically growing discipline. ABOUT THE PROGRAM The Department of Computer Science is committed to providing students with a program that includes the basic fundamentals

More information

Computer Science/Software Engineering

Computer Science/Software Engineering 292 School of Science and Engineering Computer Science/Software Engineering Everald E. Mills, PhD, Chair Objectives The computer science program seeks to prepare students for careers that require sophisticated

More information

Android Application Development Course Program

Android Application Development Course Program Android Application Development Course Program Part I Introduction to Programming 1. Introduction to programming. Compilers, interpreters, virtual machines. Primitive data types, variables, basic operators,

More information

COMPUTER SCIENCE, BACHELOR OF SCIENCE (B.S.)

COMPUTER SCIENCE, BACHELOR OF SCIENCE (B.S.) VCU 1 COMPUTER SCIENCE, BACHELOR OF SCIENCE (B.S.) The Bachelor of Science in Computer Science is built on a rigorous, highly concentrated, accredited curriculum of computer science courses. The program

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

Open Data Structures (in pseudocode)

Open Data Structures (in pseudocode) Open Data Structures (in pseudocode) Edition 0.1Gβ Pat Morin Contents Acknowledgments Why This Book? ix xi 1 Introduction 1 1.1 The Need for Efficiency..................... 2 1.2 Interfaces.............................

More information

Node-Based Structures Linked Lists: Implementation

Node-Based Structures Linked Lists: Implementation Linked Lists: Implementation CS 311 Data Structures and Algorithms Lecture Slides Monday, March 30, 2009 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks CHAPPELLG@member.ams.org

More information

Universidad Carlos III de Madrid

Universidad Carlos III de Madrid Universidad Carlos III de Madrid Algorithms and Data Structures (ADS) Bachelor in Informatics Engineering Computer Science Department Lists, Stacks and Queues. Authors: Isabel Segura Bedmar April 2011

More information

Introduction to Algorithms and Data Structures

Introduction to Algorithms and Data Structures Introduction to Algorithms and Data Structures Michael J. Dinneen Georgy Gimel farb Mark C. Wilson March 2013 (3rd e-book edition) Contents Contents 2 List of Figures 5 List of Tables 7 Preface 8 I Introduction

More information

WORKSPACE WEB DEVELOPMENT & OUTSOURCING TRAINING CENTER

WORKSPACE WEB DEVELOPMENT & OUTSOURCING TRAINING CENTER WORKSPACE WEB DEVELOPMENT & OUTSOURCING TRAINING CENTER Course Outline (2015) Basic Programming With Procedural & Object Oriented Concepts (C, C++) Training Office# Road: 11, House: 1 A, Nikunja 2, Khilkhet,

More information

CSC148 Lecture 8. Algorithm Analysis Binary Search Sorting

CSC148 Lecture 8. Algorithm Analysis Binary Search Sorting CSC148 Lecture 8 Algorithm Analysis Binary Search Sorting Algorithm Analysis Recall definition of Big Oh: We say a function f(n) is O(g(n)) if there exists positive constants c,b such that f(n)

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

- Easy to insert & delete in O(1) time - Don t need to estimate total memory needed. - Hard to search in less than O(n) time

- Easy to insert & delete in O(1) time - Don t need to estimate total memory needed. - Hard to search in less than O(n) time Skip Lists CMSC 420 Linked Lists Benefits & Drawbacks Benefits: - Easy to insert & delete in O(1) time - Don t need to estimate total memory needed Drawbacks: - Hard to search in less than O(n) time (binary

More information