C Programming: Data Structures and Algorithms

Total Page:16

File Type:pdf, Size:1020Kb

C Programming: Data Structures and Algorithms C Programming: Data Structures and Algorithms An introduction to elementary programming concepts in C Jack Straub, Instructor Version 2.07 DRAFT C Programming: Data Structures and Algorithms, Version 2.07 DRAFT C Programming: Data Structures and Algorithms Version 2.07 DRAFT Copyright © 1996 through 2006 by Jack Straub ii 08/12/08 C Programming: Data Structures and Algorithms, Version 2.07 DRAFT Table of Contents COURSE OVERVIEW ........................................................................................ IX 1. BASICS.................................................................................................... 13 1.1 Objectives ...................................................................................................................................... 13 1.2 Typedef .......................................................................................................................................... 13 1.2.1 Typedef and Portability ............................................................................................................. 13 1.2.2 Typedef and Structures .............................................................................................................. 14 1.2.3 Typedef and Functions .............................................................................................................. 14 1.3 Pointers and Arrays ..................................................................................................................... 16 1.4 Dynamic Memory Allocation ...................................................................................................... 17 1.5 The Core Module .......................................................................................................................... 17 1.5.1 The Private Header File ............................................................................................................. 18 1.5.2 The Principal Source File .......................................................................................................... 18 1.5.3 The Public Header File .............................................................................................................. 19 1.6 Activity .......................................................................................................................................... 21 2. DOUBLY LINKED LISTS ......................................................................... 23 2.1 Objectives ...................................................................................................................................... 23 2.2 Overview ....................................................................................................................................... 23 2.3 Definitions ..................................................................................................................................... 24 2.3.1 Enqueuable Item ........................................................................................................................ 25 2.3.2 Anchor ....................................................................................................................................... 26 2.3.3 Doubly Linked List ................................................................................................................... 26 2.3.4 Methods ..................................................................................................................................... 26 2.3.5 ENQ_create_list: Create a New Doubly linked List .................................................................. 27 2.3.6 ENQ_create_item: Create a New Enqueuable Item .................................................................. 28 2.3.7 ENQ_is_item_enqed: Test Whether an Item is Enqueued ........................................................ 29 2.3.8 ENQ_is_list_empty: Test Whether a List is Empty ................................................................... 29 2.3.9 ENQ_add_head: Add an Item to the Head of a List .................................................................. 29 2.3.10 ENQ_add_tail: Add an Item to the Tail of a List .................................................................. 30 2.3.11 ENQ_add_after: Add an Item After a Previously Enqueued Item ........................................ 30 2.3.12 ENQ_add_before: Add an Item Before a Previously Enqueued Item .................................. 30 2.3.13 ENQ_deq_item: Dequeue an Item from a List ..................................................................... 31 2.3.14 ENQ_deq_head: Dequeue the Item at the Head of a List ..................................................... 31 2.3.15 ENQ_deq_tail: Dequeue the Item at the Tail of a List ......................................................... 32 2.3.16 ENQ_GET_HEAD: Get the Address of the Item at the Head of a List ................................ 32 2.3.17 ENQ_GET_TAIL: Get the Address of the Item at the Tail of a List .................................... 32 2.3.18 ENQ_GET_NEXT: Get the Address of the Item After a Given Item .................................. 33 2.3.19 ENQ_GET_PREV: Get the Address of the Item Before a Given Item ................................ 33 2.3.20 ENQ_GET_LIST_NAME: Get the Name of a List .............................................................. 33 2.3.21 ENQ_GET_ITEM_NAME: Get the Name of an Item ......................................................... 34 2.3.22 ENQ_destroy_item: Destroy an Item ................................................................................... 34 iii 08/12/08 C Programming: Data Structures and Algorithms, Version 2.07 DRAFT 2.3.23 ENQ_empty_list: Empty a List............................................................................................. 35 2.3.24 ENQ_destroy_list: Destroy a List ......................................................................................... 35 2.4 Case Study .................................................................................................................................... 35 2.5 Activity .......................................................................................................................................... 39 3. SORTING ................................................................................................. 41 3.1 Objectives ...................................................................................................................................... 41 3.2 Overview ....................................................................................................................................... 41 3.3 Bubble Sort ................................................................................................................................... 41 3.4 Select Sort ..................................................................................................................................... 42 3.5 Mergesort ...................................................................................................................................... 42 3.6 A Mergesort Implementation in C .............................................................................................. 43 3.6.1 The Mergesort Function’s Footprint .......................................................................................... 43 3.6.2 The Pointer Arithmetic Problem ............................................................................................... 43 3.6.3 The Assignment Problem .......................................................................................................... 44 3.6.4 The Comparison Problem .......................................................................................................... 45 3.6.5 The Temporary Array ................................................................................................................ 46 4. MODULES ............................................................................................... 47 4.1 Objectives ...................................................................................................................................... 47 4.2 Overview ....................................................................................................................................... 47 4.3 C Source Module Components .................................................................................................... 47 4.3.1 Public Data ................................................................................................................................ 47 4.3.2 Private Data ............................................................................................................................... 48 4.3.3 Local Data ................................................................................................................................. 49 4.4 Review: Scope ............................................................................................................................... 49 4.5 A Bit about Header Files ............................................................................................................. 49 4.6 Module Conventions .................................................................................................................... 49 5. ABSTRACT DATA TYPES ...................................................................... 51 5.1 Objectives .....................................................................................................................................
Recommended publications
  • Application of TRIE Data Structure and Corresponding Associative Algorithms for Process Optimization in GRID Environment
    Application of TRIE data structure and corresponding associative algorithms for process optimization in GRID environment V. V. Kashanskya, I. L. Kaftannikovb South Ural State University (National Research University), 76, Lenin prospekt, Chelyabinsk, 454080, Russia E-mail: a [email protected], b [email protected] Growing interest around different BOINC powered projects made volunteer GRID model widely used last years, arranging lots of computational resources in different environments. There are many revealed problems of Big Data and horizontally scalable multiuser systems. This paper provides an analysis of TRIE data structure and possibilities of its application in contemporary volunteer GRID networks, including routing (L3 OSI) and spe- cialized key-value storage engine (L7 OSI). The main goal is to show how TRIE mechanisms can influence de- livery process of the corresponding GRID environment resources and services at different layers of networking abstraction. The relevance of the optimization topic is ensured by the fact that with increasing data flow intensi- ty, the latency of the various linear algorithm based subsystems as well increases. This leads to the general ef- fects, such as unacceptably high transmission time and processing instability. Logically paper can be divided into three parts with summary. The first part provides definition of TRIE and asymptotic estimates of corresponding algorithms (searching, deletion, insertion). The second part is devoted to the problem of routing time reduction by applying TRIE data structure. In particular, we analyze Cisco IOS switching services based on Bitwise TRIE and 256 way TRIE data structures. The third part contains general BOINC architecture review and recommenda- tions for highly-loaded projects.
    [Show full text]
  • Programming for Engineers Pointers in C Programming: Part 02
    Programming For Engineers Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff1, Ahmad Fakhri Ab. Nasir2 Faculty of Manufacturing Engineering [email protected], [email protected] PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 0.0 Chapter’s Information • Expected Outcomes – To further use pointers in C programming • Contents 1.0 Pointer and Array 2.0 Pointer and String 3.0 Pointer and dynamic memory allocation PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 1.0 Pointer and Array • We will review array data type first and later we will relate array with pointer. • Previously, we learn about basic data types such as integer, character and floating numbers. In C programming language, if we have 5 test scores and would like to average the scores, we may code in the following way. PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 1.0 Pointer and Array PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 1.0 Pointer and Array • This program is manageable if the scores are only 5. What should we do if we have 100,000 scores? In such case, we need an efficient way to represent a collection of similar data type1. In C programming, we usually use array. • Array is a fixed-size sequence of elements of the same data type.1 • In C programming, we declare an array like the following statement: PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab.
    [Show full text]
  • Data Structure
    EDUSAT LEARNING RESOURCE MATERIAL ON DATA STRUCTURE (For 3rd Semester CSE & IT) Contributors : 1. Er. Subhanga Kishore Das, Sr. Lect CSE 2. Mrs. Pranati Pattanaik, Lect CSE 3. Mrs. Swetalina Das, Lect CA 4. Mrs Manisha Rath, Lect CA 5. Er. Dillip Kumar Mishra, Lect 6. Ms. Supriti Mohapatra, Lect 7. Ms Soma Paikaray, Lect Copy Right DTE&T,Odisha Page 1 Data Structure (Syllabus) Semester & Branch: 3rd sem CSE/IT Teachers Assessment : 10 Marks Theory: 4 Periods per Week Class Test : 20 Marks Total Periods: 60 Periods per Semester End Semester Exam : 70 Marks Examination: 3 Hours TOTAL MARKS : 100 Marks Objective : The effectiveness of implementation of any application in computer mainly depends on the that how effectively its information can be stored in the computer. For this purpose various -structures are used. This paper will expose the students to various fundamentals structures arrays, stacks, queues, trees etc. It will also expose the students to some fundamental, I/0 manipulation techniques like sorting, searching etc 1.0 INTRODUCTION: 04 1.1 Explain Data, Information, data types 1.2 Define data structure & Explain different operations 1.3 Explain Abstract data types 1.4 Discuss Algorithm & its complexity 1.5 Explain Time, space tradeoff 2.0 STRING PROCESSING 03 2.1 Explain Basic Terminology, Storing Strings 2.2 State Character Data Type, 2.3 Discuss String Operations 3.0 ARRAYS 07 3.1 Give Introduction about array, 3.2 Discuss Linear arrays, representation of linear array In memory 3.3 Explain traversing linear arrays, inserting & deleting elements 3.4 Discuss multidimensional arrays, representation of two dimensional arrays in memory (row major order & column major order), and pointers 3.5 Explain sparse matrices.
    [Show full text]
  • Abstract Data Types
    Chapter 2 Abstract Data Types The second idea at the core of computer science, along with algorithms, is data. In a modern computer, data consists fundamentally of binary bits, but meaningful data is organized into primitive data types such as integer, real, and boolean and into more complex data structures such as arrays and binary trees. These data types and data structures always come along with associated operations that can be done on the data. For example, the 32-bit int data type is defined both by the fact that a value of type int consists of 32 binary bits but also by the fact that two int values can be added, subtracted, multiplied, compared, and so on. An array is defined both by the fact that it is a sequence of data items of the same basic type, but also by the fact that it is possible to directly access each of the positions in the list based on its numerical index. So the idea of a data type includes a specification of the possible values of that type together with the operations that can be performed on those values. An algorithm is an abstract idea, and a program is an implementation of an algorithm. Similarly, it is useful to be able to work with the abstract idea behind a data type or data structure, without getting bogged down in the implementation details. The abstraction in this case is called an \abstract data type." An abstract data type specifies the values of the type, but not how those values are represented as collections of bits, and it specifies operations on those values in terms of their inputs, outputs, and effects rather than as particular algorithms or program code.
    [Show full text]
  • Data Structures, Buffers, and Interprocess Communication
    Data Structures, Buffers, and Interprocess Communication We’ve looked at several examples of interprocess communication involving the transfer of data from one process to another process. We know of three mechanisms that can be used for this transfer: - Files - Shared Memory - Message Passing The act of transferring data involves one process writing or sending a buffer, and another reading or receiving a buffer. Most of you seem to be getting the basic idea of sending and receiving data for IPC… it’s a lot like reading and writing to a file or stdin and stdout. What seems to be a little confusing though is HOW that data gets copied to a buffer for transmission, and HOW data gets copied out of a buffer after transmission. First… let’s look at a piece of data. typedef struct { char ticker[TICKER_SIZE]; double price; } item; . item next; . The data we want to focus on is “next”. “next” is an object of type “item”. “next” occupies memory in the process. What we’d like to do is send “next” from processA to processB via some kind of IPC. IPC Using File Streams If we were going to use good old C++ filestreams as the IPC mechanism, our code would look something like this to write the file: // processA is the sender… ofstream out; out.open(“myipcfile”); item next; strcpy(next.ticker,”ABC”); next.price = 55; out << next.ticker << “ “ << next.price << endl; out.close(); Notice that we didn’t do this: out << next << endl; Why? Because the “<<” operator doesn’t know what to do with an object of type “item”.
    [Show full text]
  • Programming the Capabilities of the PC Have Changed Greatly Since the Introduction of Electronic Computers
    1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in INTRODUCTION TO PROGRAMMING LANGUAGE Topic Objective: At the end of this topic the student will be able to understand: History of Computer Programming C++ Definition/Overview: Overview: A personal computer (PC) is any general-purpose computer whose original sales price, size, and capabilities make it useful for individuals, and which is intended to be operated directly by an end user, with no intervening computer operator. Today a PC may be a desktop computer, a laptop computer or a tablet computer. The most common operating systems are Microsoft Windows, Mac OS X and Linux, while the most common microprocessors are x86-compatible CPUs, ARM architecture CPUs and PowerPC CPUs. Software applications for personal computers include word processing, spreadsheets, databases, games, and myriad of personal productivity and special-purpose software. Modern personal computers often have high-speed or dial-up connections to the Internet, allowing access to the World Wide Web and a wide range of other resources. Key Points: 1. History of ComputeWWW.BSSVE.INr Programming The capabilities of the PC have changed greatly since the introduction of electronic computers. By the early 1970s, people in academic or research institutions had the opportunity for single-person use of a computer system in interactive mode for extended durations, although these systems would still have been too expensive to be owned by a single person. The introduction of the microprocessor, a single chip with all the circuitry that formerly occupied large cabinets, led to the proliferation of personal computers after about 1975. Early personal computers - generally called microcomputers - were sold often in Electronic kit form and in limited volumes, and were of interest mostly to hobbyists and technicians.
    [Show full text]
  • Subtyping Recursive Types
    ACM Transactions on Programming Languages and Systems, 15(4), pp. 575-631, 1993. Subtyping Recursive Types Roberto M. Amadio1 Luca Cardelli CNRS-CRIN, Nancy DEC, Systems Research Center Abstract We investigate the interactions of subtyping and recursive types, in a simply typed λ-calculus. The two fundamental questions here are whether two (recursive) types are in the subtype relation, and whether a term has a type. To address the first question, we relate various definitions of type equivalence and subtyping that are induced by a model, an ordering on infinite trees, an algorithm, and a set of type rules. We show soundness and completeness between the rules, the algorithm, and the tree semantics. We also prove soundness and a restricted form of completeness for the model. To address the second question, we show that to every pair of types in the subtype relation we can associate a term whose denotation is the uniquely determined coercion map between the two types. Moreover, we derive an algorithm that, when given a term with implicit coercions, can infer its least type whenever possible. 1This author's work has been supported in part by Digital Equipment Corporation and in part by the Stanford-CNR Collaboration Project. Page 1 Contents 1. Introduction 1.1 Types 1.2 Subtypes 1.3 Equality of Recursive Types 1.4 Subtyping of Recursive Types 1.5 Algorithm outline 1.6 Formal development 2. A Simply Typed λ-calculus with Recursive Types 2.1 Types 2.2 Terms 2.3 Equations 3. Tree Ordering 3.1 Subtyping Non-recursive Types 3.2 Folding and Unfolding 3.3 Tree Expansion 3.4 Finite Approximations 4.
    [Show full text]
  • 4 Hash Tables and Associative Arrays
    4 FREE Hash Tables and Associative Arrays If you want to get a book from the central library of the University of Karlsruhe, you have to order the book in advance. The library personnel fetch the book from the stacks and deliver it to a room with 100 shelves. You find your book on a shelf numbered with the last two digits of your library card. Why the last digits and not the leading digits? Probably because this distributes the books more evenly among the shelves. The library cards are numbered consecutively as students sign up, and the University of Karlsruhe was founded in 1825. Therefore, the students enrolled at the same time are likely to have the same leading digits in their card number, and only a few shelves would be in use if the leadingCOPY digits were used. The subject of this chapter is the robust and efficient implementation of the above “delivery shelf data structure”. In computer science, this data structure is known as a hash1 table. Hash tables are one implementation of associative arrays, or dictio- naries. The other implementation is the tree data structures which we shall study in Chap. 7. An associative array is an array with a potentially infinite or at least very large index set, out of which only a small number of indices are actually in use. For example, the potential indices may be all strings, and the indices in use may be all identifiers used in a particular C++ program.Or the potential indices may be all ways of placing chess pieces on a chess board, and the indices in use may be the place- ments required in the analysis of a particular game.
    [Show full text]
  • Open Data Structures (In Java)
    Open Data Structures (in Java) Edition 0.1G Pat Morin Contents Acknowledgments ix Why This Book? xi 1 Introduction 1 1.1 The Need for Efficiency ..................... 2 1.2 Interfaces ............................. 4 1.2.1 The Queue, Stack, and Deque Interfaces . 5 1.2.2 The List Interface: Linear Sequences . 6 1.2.3 The USet Interface: Unordered Sets .......... 8 1.2.4 The SSet Interface: Sorted Sets ............ 9 1.3 Mathematical Background ................... 9 1.3.1 Exponentials and Logarithms . 10 1.3.2 Factorials ......................... 11 1.3.3 Asymptotic Notation . 12 1.3.4 Randomization and Probability . 15 1.4 The Model of Computation ................... 18 1.5 Correctness, Time Complexity, and Space Complexity . 19 1.6 Code Samples .......................... 22 1.7 List of Data Structures ..................... 22 1.8 Discussion and Exercises .................... 26 2 Array-Based Lists 29 2.1 ArrayStack: Fast Stack Operations Using an Array . 30 2.1.1 The Basics ........................ 30 2.1.2 Growing and Shrinking . 33 2.1.3 Summary ......................... 35 Contents 2.2 FastArrayStack: An Optimized ArrayStack . 35 2.3 ArrayQueue: An Array-Based Queue . 36 2.3.1 Summary ......................... 40 2.4 ArrayDeque: Fast Deque Operations Using an Array . 40 2.4.1 Summary ......................... 43 2.5 DualArrayDeque: Building a Deque from Two Stacks . 43 2.5.1 Balancing ......................... 47 2.5.2 Summary ......................... 49 2.6 RootishArrayStack: A Space-Efficient Array Stack . 49 2.6.1 Analysis of Growing and Shrinking . 54 2.6.2 Space Usage ....................... 54 2.6.3 Summary ......................... 55 2.6.4 Computing Square Roots . 56 2.7 Discussion and Exercises ...................
    [Show full text]
  • CSE 307: Principles of Programming Languages Classes and Inheritance
    OOP Introduction Type & Subtype Inheritance Overloading and Overriding CSE 307: Principles of Programming Languages Classes and Inheritance R. Sekar 1 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Topics 1. OOP Introduction 3. Inheritance 2. Type & Subtype 4. Overloading and Overriding 2 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Section 1 OOP Introduction 3 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding OOP (Object Oriented Programming) So far the languages that we encountered treat data and computation separately. In OOP, the data and computation are combined into an “object”. 4 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Benefits of OOP more convenient: collects related information together, rather than distributing it. Example: C++ iostream class collects all I/O related operations together into one central place. Contrast with C I/O library, which consists of many distinct functions such as getchar, printf, scanf, sscanf, etc. centralizes and regulates access to data. If there is an error that corrupts object data, we need to look for the error only within its class Contrast with C programs, where access/modification code is distributed throughout the program 5 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Benefits of OOP (Continued) Promotes reuse. by separating interface from implementation. We can replace the implementation of an object without changing client code. Contrast with C, where the implementation of a data structure such as a linked list is integrated into the client code by permitting extension of new objects via inheritance. Inheritance allows a new class to reuse the features of an existing class.
    [Show full text]
  • Data Structures Using “C”
    DATA STRUCTURES USING “C” DATA STRUCTURES USING “C” LECTURE NOTES Prepared by Dr. Subasish Mohapatra Department of Computer Science and Application College of Engineering and Technology, Bhubaneswar Biju Patnaik University of Technology, Odisha SYLLABUS BE 2106 DATA STRUCTURE (3-0-0) Module – I Introduction to data structures: storage structure for arrays, sparse matrices, Stacks and Queues: representation and application. Linked lists: Single linked lists, linked list representation of stacks and Queues. Operations on polynomials, Double linked list, circular list. Module – II Dynamic storage management-garbage collection and compaction, infix to post fix conversion, postfix expression evaluation. Trees: Tree terminology, Binary tree, Binary search tree, General tree, B+ tree, AVL Tree, Complete Binary Tree representation, Tree traversals, operation on Binary tree-expression Manipulation. Module –III Graphs: Graph terminology, Representation of graphs, path matrix, BFS (breadth first search), DFS (depth first search), topological sorting, Warshall’s algorithm (shortest path algorithm.) Sorting and Searching techniques – Bubble sort, selection sort, Insertion sort, Quick sort, merge sort, Heap sort, Radix sort. Linear and binary search methods, Hashing techniques and hash functions. Text Books: 1. Gilberg and Forouzan: “Data Structure- A Pseudo code approach with C” by Thomson publication 2. “Data structure in C” by Tanenbaum, PHI publication / Pearson publication. 3. Pai: ”Data Structures & Algorithms; Concepts, Techniques & Algorithms
    [Show full text]
  • Kernel Extensions and Device Support Programming Concepts
    Bull Kernel Extensions and Device Support Programming Concepts AIX ORDER REFERENCE 86 A2 36JX 02 Bull Kernel Extensions and Device Support Programming Concepts AIX Software November 1999 BULL ELECTRONICS ANGERS CEDOC 34 Rue du Nid de Pie – BP 428 49004 ANGERS CEDEX 01 FRANCE ORDER REFERENCE 86 A2 36JX 02 The following copyright notice protects this book under the Copyright laws of the United States of America and other countries which prohibit such actions as, but not limited to, copying, distributing, modifying, and making derivative works. Copyright Bull S.A. 1992, 1999 Printed in France Suggestions and criticisms concerning the form, content, and presentation of this book are invited. A form is provided at the end of this book for this purpose. To order additional copies of this book or other Bull Technical Publications, you are invited to use the Ordering Form also provided at the end of this book. Trademarks and Acknowledgements We acknowledge the right of proprietors of trademarks mentioned in this book. AIXR is a registered trademark of International Business Machines Corporation, and is being used under licence. UNIX is a registered trademark in the United States of America and other countries licensed exclusively through the Open Group. Year 2000 The product documented in this manual is Year 2000 Ready. The information in this document is subject to change without notice. Groupe Bull will not be liable for errors contained herein, or for incidental or consequential damages in connection with the use of this material. Contents Trademarks and Acknowledgements . iii 64-bit Kernel Extension Development. 23 About This Book .
    [Show full text]