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Programming Abstractions in C++ Eric Roberts

Programming Abstractions in C++ By Eric Roberts

Programming Abstractions in C++ by Eric Roberts


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Programming Abstractions in C++ Summary

Programming Abstractions in C++ by Eric Roberts

Programming is a matter of learning by doing. Eric Roberts' Programming Abstractions in C++ gives readers opportunities to practice and learn with engaging graphical assignments. A client-first approach to data structures helps readers absorb, and then apply the material. KEY TOPICS: Overview of C++; Functions and Libraries; Strings; Streams; Collections; Designing Classes; Introduction to Recursion; Recursive Strategies; Backtracking Algorithms; Algorithmic Analysis; Pointers and Arrays; Efficiency and Representation; Linear Structures; Maps; Trees; Sets; Graphs; Inheritance; Strategies for Iteration. MARKET: This text is intended for use in the second programming course.

About Eric Roberts

After receiving his Ph.D. in Applied Mathematics from Harvard University in 1980, Eric Roberts taught at Wellesley College from 1980-85, where he chaired the Computer Science Department. From 1985-90, he was a member of the research staff at Digital Equipment Corporation's Systems Research Center in Palo Alto, California, where he conducted computer science research, focusing on programming tools for multiprocessor architectures. In September 1990, Roberts joined the Stanford faculty, where he is now Professor of Computer Science and the John A. and Cynthia Fry Gunn University Fellow in Undergraduate Education. From 1990 to 2002, Professor Roberts was Associate Chair and Director of Undergraduate Studies for Computer Science. In that capacity, he was the principal architect of Stanford's introductory programming sequence, which for many years held the distinction of being the largest course at Stanford. He has also written four computer science textbooks that are used at many colleges and universities throughout the world. His research focuses on computer science education, particularly for underserved communities. From 1998 to 2005, Roberts was Principal Investigator for the Bermuda Project, which developed the computer science curriculum for Bermuda's public secondary schools. While at Stanford, Professor Roberts has received several university- level teaching awards, including the Bing Fellowship, established "to recognize excellence in teaching and a committed interest to the teaching of undergraduates"; the Dinkelspiel Award, which recognizes "distinctive and exceptional contributions to undergraduate education"; and the Laurance and Naomi Carpenter Hoagland Prize, awarded for excellence in undergraduate teaching. In January 2002, Roberts was named one of the first eight University Fellows in Undergraduate Education, which are designed "to reward faculty who make truly outstanding contributions to Stanford's undergraduate experience." Professor Roberts has been active in professional organizations dedicated to computer science education. From 2005 to 2007, he served as co-chair of the Education Board of the Association of Computing Machinery (ACM) and was for many years on the board of the ACM Special Interest Group on Computer Science Education (SIGCSE). From 1998 to 2001, Roberts served as co-chair and principal editor for the ACM/IEEE- CS Joint Task Force on Computing Curricula 2001, which published a detailed set of curriculum guidelines in December 2001. He also chaired the ACM Java Task Force from 2004 to 2006. In 2003, Roberts received the SIGCSE Award for Outstanding Contribution to Computer Science Education. Professor Roberts is a Fellow of the ACM and the American Association for the Advancement of Science (AAAS). Professor Roberts has also been active in several organizations seeking to promote socially responsible use of science and technology. He is past president of both Computer Professionals for Social Responsibility, a public-interest organization of computer scientists and other professionals concerned about the impact of computer technology on society, and Student Pugwash USA, which encourages students to use their training in science and technology to create a better world. In 1999-2000, Roberts was the Eugene M. Lang Visiting Professor for Social Change at Swarthmore College.

Table of Contents

Contents 1 Overview of C++ 1 1.1 Your first C++ program 2 1.2 The history of C++ 3 1.3 The structure of a C++ program 6 1.4 Variables 14 1.5 Data types 19 1.6 Expressions 26 1.7 Statements 36 Summary 47 Review questions 48 Exercises 50 2 Functions and Libraries 55 2.1 The idea of a function 56 2.2 Libraries 59 2.3 Defining functions in C++ 61 2.4 The mechanics of function calls 65 2.5 Reference parameters 73 2.6 Interfaces and implementations 78 2.7 Principles of interface design 85 2.8 Designing a random number library 90 2.9 Introduction to the Stanford libraries 107 Summary 112 Review questions 114 Exercises 115 3 Strings 125 3.1 Using strings as abstract values 126 3.2 String operations 129 3.3 The library 137 3.4 Modifying the contents of a string 138 3.5 The legacy of C-style strings 139 3.6 Writing string applications 140 3.7 The strlib.h library 146 Summary 147 Review questions 148 Exercises 149 4 Streams 159 4.1 Using strings as abstract values 160 4.2 Formatted input 165 4.3 Data files 167 4.4 Class hierarchies 181 4.5 The simpio.h and filelib.h libraries 186 Summary 188 Review questions 189 Exercises 190 5 Collections 195 5.1 The Vector class 197 5.2 The Stack class 211 5.3 The Queue class 217 5.4 The Map class 226 5.5 The Set class 232 5.6 Iterating over a collection 236 Summary 243 Review questions 245 Exercises 246 6 Designing Classes 261 6.1 Representing points 262 6.2 Operator overloading 268 6.3 Rational numbers 281 6.4 Designing a token scanner class 292 6.5 Encapsulating programs as classes 301 Summary 303 Review questions 305 Exercises 306 7 Introduction to Recursion 315 7.1 A simple example of recursion 316 7.2 The factorial function 318 7.3 The Fibonacci function 325 7.4 Checking palindromes 332 7.5 The binary search algorithm 335 7.6 Mutual recursion 336 7.7 Thinking recursively 338 Summary 340 Review questions 342 Exercises 344 8 Recursive Strategies 349 8.1 The Towers of Hanoi 350 8.2 The subset-sum problem 361 8.3 Generating permutations 364 8.4 Graphical recursion 368 Summary 375 Review questions 375 Exercises 376 9 Backtracking Algorithms 389 9.1 Recursive backtracking in a maze 390 9.2 Backtracking and games 400 9.3 The minimax algorithm 409 Summary 415 Review questions 416 Exercises 417 10 Algorithmic Analysis 429 10.1 The sorting problem 430 10.2 Computational complexity 435 10.3 Recursion to the rescue 443 10.4 Standard complexity classes 449 10.5 The Quicksort algorithm 452 10.6 Mathematical induction 458 Summary 462 Review questions 463 Exercises 466 11 Pointers and Arrays 473 11.1 The structure of memory 474 11.2 Pointers 484 11.3 Arrays 494 11.4 Pointer arithmetic 500 Summary 506 Review questions 508 Exercises 510 12 Dynamic Memory Management 515 12.1 Dynamic allocation and the heap 516 12.2 Linked lists 519 12.3 Freeing memory 523 12.4 Defining a CharStack class 527 12.5 Heap-stack diagrams 536 12.6 Unit testing 543 12.7 Copying objects 546 12.8 The uses of const 550 12.9 Efficiency of the CharStack class 558 Summary 560 Review questions 562 Exercises 564 13 Efficiency and Representation 569 13.1 Software patterns for editing text 570 13.2 Designing a simple text editor 572 13.3 An array-based implementation 579 13.4 A stack-based implementation 586 13.5 A list-based implementation 591 Summary 607 Review questions 608 Exercises 610 14 Linear Structures 615 14.1 Templates 616 14.2 Implementing stacks 619 14.3 Implementing queues 634 14.4 Implementing vectors 649 14.5 Integrating prototypes and code 656 Summary 657 Review questions 658 Exercises 659 15 Maps 663 15.1 Implementing maps using vectors 664 15.2 Lookup tables 668 15.3 Hashing 671 15.4 Implementing the HashMap class 682 Summary 683 Review questions 684 Exercises 685 16 Trees 689 16.1 Family trees 691 16.2 Binary search trees 693 16.3 Balanced trees 706 16.4 Implementing maps using BSTs 717 16.5 Partially ordered trees 719 Summary 722 Review questions 724 Exercises 727 17 Sets 737 17.1 Sets as a mathematical abstraction 738 17.2 Expanding the set interface 742 17.3 Implementation strategies for sets 747 17.4 Optimizing sets of small integers 753 Summary 761 Review questions 762 Exercises 764 18 Graphs 767 18.1 The structure of a graph 768 18.2 Representation strategies 772 18.3 A low-level graph abstraction 776 18.4 Graph traversals 783 18.5 Defining a Graph class 789 18.6 Finding shortest paths 804 18.7 Algorithms for searching the web 808 Summary 812 Review questions 813 Exercises 815 19 Inheritance 823 19.1 Simple inheritance 824 19.2 A hierarchy of graphical shapes 832 19.3 A class hierarchy for expressions 841 19.4 Parsing an expression 861 19.5 Multiple inheritance 870 Summary 873 Review questions 875 Exercises 877 20 Strategies for iteration 885 20.1 Using iterators 886 20.2 Using functions as data values 890 20.3 Encapsulating data with functions 899 20.4 The STL algorithms library 904 20.5 Functional programming in C++ 907 20.6 Implementing iterators 911 Summary 918 Review questions 920 Exercises 921 A Stanford library interfaces 927 Index 1025

Additional information

CIN0133454843A
9780133454840
0133454843
Programming Abstractions in C++ by Eric Roberts
Used - Well Read
Hardback
Pearson Education (US)
2013-07-28
960
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book. We do our best to provide good quality books for you to read, but there is no escaping the fact that it has been owned and read by someone else previously. Therefore it will show signs of wear and may be an ex library book

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