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如今科學工程項目越來越大、越來越復雜，許多項目都采用 C++編程語言來完成。《現代C++探秘：編碼、工程與科研必修（基於C++ 14）（英文版）》深入介紹瞭基於 C++編程語言高級功能的復雜方法，旨在幫助您快速入門，實現如錶達式模闆之類的高級技術。您還將學習如何使用 C++編程語言的強大類庫：標準模闆庫（ STL）以及用於算法、綫性代數、微分方程、圖形的科學類庫。《現代C++探秘：編碼、工程與科研必修（基於C++ 14）（英文版）》演示瞭如何使用麵嚮對象、泛型編程、元編程和過程技術來編寫清晰明瞭、富有錶達力的軟件。當您學完《現代C++探秘：編碼、工程與科研必修（基於C++ 14）（英文版）》，將掌握如何使用 C++編程語言來編寫高質量、高性能的軟件。

Peter Gottschling 熱衷於編寫前沿的科學計算軟件，他希望他的熱情也能感染讀者。因為職業的緣故他編寫瞭 MTL4（矩陣模闆庫 4），同時也是 Boost Graph Library 的作者之一。他曾在多個 C++ 課程和專業培訓中分享過開發經驗，並撰寫瞭本書。

他是 C++ 標準委員會成員，德國程序語言標準委員會副主席，也是德纍斯頓 C++ 用戶組的創始人。他年輕時在德纍斯頓工業大學就讀，同時在數學和計算機科學專業上達到瞭學士水平，並最終獲得瞭計算機科學的博士學位。萊比锡建城一韆年時，他離開瞭學術機構，迴到瞭他最愛的故鄉萊比锡，創建瞭自己的公司 SimuNova。

他已婚並育有四名子女。

Preface V
NNNN C++ V
Reasons to Read This Book VI
The Beauty and the Beast VI
Languages in Science and Engineering VIII
Typographical Conventions IX
Acknowledgments XI
About the Author XII
Chapter 1 C++ Basics 1
1.1 Our First Program 1
1.2 Variables 3
1.2.1 Constants 5
1.2.2 Literals 6
1.2.3 Non-narrowing Initialization 7
1.2.4 Scopes 8
1.3 Operators 10
1.3.1 Arithmetic Operators 11
1.3.2 Boolean Operators 14
1.3.3 Bitwise Operators 15
1.3.4 Assignment 15
1.3.5 Program Flow 16
1.3.6 Memory Handling 17
1.3.7 Access Operators 17
1.3.8 Type Handling 17
1.3.9 Error Handling 18
1.3.10 Overloading 18
1.3.11 Operator Precedence 18
1.3.12 Avoid Side Effects! 18
1.4 Expressions and Statements 21
1.4.1 Expressions 21
1.4.2 Statements 21
1.4.3 Branching 22
1.4.4 Loops 24
1.4.5 goto 27
1.5 Functions 28
1.5.1 Arguments 28
1.5.2 Returning Results 30
1.5.3 Inlining 31
1.5.4 Overloading 31
1.5.5 main Function 33
1.6 Error Handling 34
1.6.1 Assertions 34
1.6.2 Exceptions 35
1.6.3 Static Assertions 40
1.7 I/O 40
1.7.1 Standard Output 40
1.7.2 Standard Input 41
1.7.3 Input/Output with Files 41
1.7.4 Generic Stream Concept 42
1.7.5 Formatting 43
1.7.6 Dealing with I/O Errors 44
1.8 Arrays, Pointers, and References 47
1.8.1 Arrays 47
1.8.2 Pointers 49
1.8.3 Smart Pointers 51
1.8.4 References 55
1.8.5 Comparison between Pointers and References 55
1.8.6 Do Not Refer to Outdated Data! 55
1.8.7 Containers for Arrays 56
1.9 Structuring Software Projects 58
1.9.1 Comments 59
1.9.2 Preprocessor Directives 60
1.10 Exercises 63
1.10.1 Age 63
1.10.2 Arrays and Pointers 64
1.10.3 Read the Header of a Matrix Market File 64
Chapter 2 Classes 65
2.1 Program for Universal Meaning Not for Technical Details 65
2.2 Members 67
2.2.1 Member Variables 67
2.2.2 Accessibility 68
2.2.3 Access Operators 70
2.2.4 The Static Declarator for Classes 70
2.2.5 Member Functions 71
2.3 Setting Values: Constructors and Assignments 72
2.3.1 Constructors 72
2.3.2 Assignment 81
2.3.3 Initializer Lists 82
2.3.4 Uniform Initialization 83
2.3.5 Move Semantics 85
2.4 Destructors 89
2.4.1 Implementation Rules 89
2.4.2 Dealing with Resources Properly 90
2.5 Method Generation R´esum´e 95
2.6 Accessing Member Variables 96
2.6.1 Access Functions 96
2.6.2 Subscript Operator 97
2.6.3 Constant Member Functions 98
2.6.4 Reference-Qualified Members 99
2.7 Operator Overloading Design 100
2.7.1 Be Consistent! 101
2.7.2 Respect the Priority 101
2.7.3 Member or Free Function 102
2.8 Exercises 104
2.8.1 Polynomial 104
2.8.2 Move Assignment 104
2.8.3 Initializer List 105
2.8.4 Resource Rescue 105
Chapter 3 Generic Programming 107
3.1 Function Templates 107
3.1.1 Instantiation 108
3.1.2 Parameter Type Deduction 109
3.1.3 Dealing with Errors in Templates 113
3.1.4 Mixing Types 113
3.1.5 Uniform Initialization 115
3.1.6 Automatic return Type 115
3.2 Namespaces and Function Lookup 115
3.2.1 Namespaces 115
3.2.2 Argument-Dependent Lookup 118
3.2.3 Namespace Qualification or ADL 122
3.3 Class Templates 123
3.3.1 A Container Example 124
3.3.2 Designing Uniform Class and Function Interfaces 125
3.4 Type Deduction and Definition 131
3.4.1 Automatic Variable Type 131
3.4.2 Type of an Expression 132
3.4.3 decltype(auto) 133
3.4.4 Defining Types 134
3.5 A Bit of Theory on Templates: Concepts 136
3.6 Template Specialization 136
3.6.1 Specializing a Class for One Type 137
3.6.2 Specializing and Overloading Functions 139
3.6.3 Partial Specialization 141
3.6.4 Partially Specializing Functions 142
3.7 Non-Type Parameters for Templates 144
3.8 Functors 146
3.8.1 Function-like Parameters 148
3.8.2 Composing Functors 149
3.8.3 Recursion 150
3.8.4 Generic Reduction 153
3.9 Lambda 154
3.9.1 Capture 155
3.9.2 Capture by Value 156
3.9.3 Capture by Reference 157
3.9.4 Generalized Capture 158
3.9.5 Generic Lambdas 159
3.10 Variadic Templates 159
3.11 Exercises 161
3.11.1 String Representation 161
3.11.2 String Representation of Tuples 161
3.11.3 Generic Stack 161
3.11.4 Iterator of a Vector 162
3.11.5 Odd Iterator 162
3.11.6 Odd Range 162
3.11.7 Stack of bool 162
3.11.8 Stack with Custom Size 163
3.11.9 Deducing Non-type Template Arguments 163
3.11.10Trapezoid Rule 163
3.11.11 Functor 164
3.11.12Lambda 164
3.11.13 Implement make_unique 164
Chapter 4 Libraries 165
4.1 Standard Template Library 165
4.1.1 Introductory Example 166
4.1.2 Iterators 166
4.1.3 Containers 171
4.1.4 Algorithms 179
4.1.5 Beyond Iterators 185
4.2 Numerics 186
4.2.1 Complex Numbers 186
4.2.2 Random Number Generators 189
4.3 Meta-programming 198
4.3.1 Limits 198
4.3.2 Type Traits 200
4.4 Utilities 202
4.4.1 Tuple 202
4.4.2 function 205
4.4.3 Reference Wrapper 207
4.5 The Time Is Now 209
4.6 Concurrency 211
4.7 Scientific Libraries Beyond the Standard 213
4.7.1 Other Arithmetics 214
4.7.2 Interval Arithmetic 214
4.7.3 Linear Algebra 214
4.7.4 Ordinary Differential Equations 215
4.7.5 Partial Differential Equations 215
4.7.6 Graph Algorithms 215
4.8 Exercises 215
4.8.1 Sorting by Magnitude 215
4.8.2 STL Container 216
4.8.3 Complex Numbers 216
Chapter 5 Meta-Programming 219
5.1 Let the Compiler Compute 219
5.1.1 Compile-Time Functions 219
5.1.2 Extended Compile-Time Functions 221
5.1.3 Primeness 223
5.1.4 How Constant Are Our Constants? 225
5.2 Providing and Using Type Information 226
5.2.1 Type Traits 226
5.2.2 Conditional Exception Handling 229
5.2.3 A const-Clean View Example 230
5.2.4 Standard Type Traits 237
5.2.5 Domain-Specific Type Properties 237
5.2.6 enable-if 239
5.2.7 Variadic Templates Revised 242
5.3 Expression Templates 245
5.3.1 Simple Operator Implementation 245
5.3.2 An Expression Template Class 248
5.3.3 Generic Expression Templates 251
5.4 Meta-Tuning: Write Your Own Compiler Optimization 253
5.4.1 Classical Fixed-Size Unrolling 254
5.4.2 Nested Unrolling 257
5.4.3 Dynamic Unrolling–Warm-up 263
5.4.4 Unrolling Vector Expressions 265
5.4.5 Tuning an Expression Template 266
5.4.6 Tuning Reduction Operations 269
5.4.7 Tuning Nested Loops 276
5.4.8 Tuning R´esum´e 282
5.5 Exercises 283
5.5.1 Type Traits 283
5.5.2 Fibonacci Sequence 283
5.5.3 Meta-Program for Greatest Common Divisor 283
5.5.4 Vector Expression Template 284
5.5.5 Meta-List 285
Chapter 6 Object-Oriented Programming 287
6.1 Basic Principles 287
6.1.1 Base and Derived Classes 288
6.1.2 Inheriting Constructors 291
6.1.3 Virtual Functions and Polymorphic Classes 292
6.1.4 Functors via Inheritance 297
6.2 Removing Redundancy 298
6.3 Multiple Inheritance 299
6.3.1 Multiple Parents 300
6.3.2 Common Grandparents 301
6.4 Dynamic Selection by Sub-typing 306
6.5 Conversion 308
6.5.1 Casting between Base and Derived Classes 309
6.5.2 const-Cast 313
6.5.3 Reinterpretation Cast 313
6.5.4 Function-Style Conversion 314
6.5.5 Implicit Conversions 315
6.6 CRTP 316
6.6.1 A Simple Example 316
6.6.2 A Reusable Access Operator 318
6.7 Exercises 320
6.7.1 Non-redundant Diamond Shape 320
6.7.2 Inheritance Vector Class 320
6.7.3 Clone Function 320
Chapter 7 Scientific Projects 321
7.1 Implementation of ODE Solvers 321
7.1.1 Ordinary Differential Equations 321
7.1.2 Runge-Kutta Algorithms 323
7.1.3 Generic Implementation 325
7.1.4 Outlook 331
7.2 Creating Projects 332
7.2.1 Build Process 333
7.2.2 Build Tools 337
7.2.3 Separate Compilation 340
7.3 Some Final Words 345
Appendix A Clumsy Stuff 347
A.1 More Good and Bad Scientific Software 347
A.2 Basics in Detail 353
A.2.1 More about Qualifying Literals 353
A.2.2 static Variables 355
A.2.3 More about if 355
A.2.4 Duff’s Device 357
A.2.5 More about main 357
A.2.6 Assertion or Exception? 358
A.2.7 Binary I/O 359
A.2.8 C-Style I/O 360
A.2.9 Garbarge Collection 360
A.2.10 Trouble with Macros 361
A.3 Real-World Example: Matrix Inversion 362
A.4 Class Details 371
A.4.1 Pointer to Member 371
A.4.2 More Initialization Examples 372
A.4.3 Accessing Multi-dimensional Arrays 373
A.5 Method Generation 375
A.5.1 Controlling the Generation 377
A.5.2 Generation Rules 378
A.5.3 Pitfalls and Design Guides 383
A.6 Template Details 386
A.6.1 Uniform Initialization 386
A.6.2 Which Function Is Called? 386
A.6.3 Specializing for Specific Hardware 389
A.6.4 Variadic Binary I/O 390
A.7 Using std::vector in C++03 391
A.8 Dynamic Selection in Old Style 392
A.9 Meta-Programming Details 392
A.9.1 First Meta-Program in History 392
A.9.2 Meta-Functions 394
A.9.3 Backward-Compatible Static Assertion 396
A.9.4 Anonymous Type Parameters 397
A.9.5 Benchmark Sources of Dynamic Unrolling 400
A.9.6 Benchmark for Matrix Product 401
Appendix B Programming Tools 403
B.1 gcc 403
B.2 Debugging 404
B.2.1 Text-Based Debugger 404
B.2.2 Debugging with Graphical Interface: DDD 406
B.3 Memory Analysis 408
B.4 gnuplot 409
B.5 Unix, Linux, and Mac OS 411
Appendix C Language Definitions 413
C.1 Value Categories 413
C.2 Operator Overview 413
C.3 Conversion Rules 416
C.3.1 Promotion 416
C.3.2 Other Conversions 416
C.3.3 Usual Arithmetic Conversions 417
C.3.4 Narrowing 418
Bibliography 419
Index 423
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