## Description

*This text is intended for use in the second programming course*

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Programming is a matter of learning by doing. Eric Roberts’ ** Programming Abstractions in C++ **gives students opportunities to practice and learn with engaging graphical assignments. A client-first approach to data structures helps students absorb, and then apply the material.

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**Teaching and Learning Experience**

This program presents a better teaching and learning experience–for you and your students. It will help:

**Improve Student Comprehension with a Client-first Approach to Data Structures:**To aid in student understanding, this book presents the full set of collection classes early.**Defer the Presentation of C++ Features that Require a Detailed Understanding of the Underlying Machine:**Introducing collection classes early enables students to master other equally important topics without having to struggle with low-level details at the same time**.****Engage Students with Exciting Graphical Assignments:**An open-source library supports graphics and interactivity in a simple, pedagogically appropriate way.**Support Instructors and Students:**The companion website provides source code, sample run PDFs, answers to review questions, and more.

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## Table of 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 <cctype> 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

Index 1025

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