Haskell : the craft of functional programming

著者

    • Thompson, Simon

書誌事項

Haskell : the craft of functional programming

Simon Thompson

Addison Wesley, c2011

3rd ed

大学図書館所蔵 件 / 全6件

この図書・雑誌をさがす

注記

Includes bibliographical references (p. 567-569) and index

内容説明・目次

内容説明

Introducing functional programming in the Haskell language, this book is written for students and programmers with little or no experience. It emphasises the process of crafting programmes, problem solving and avoiding common programming pitfalls. Covering basic functional programming, through abstraction to larger scale programming, students are lead step by step through the basics, before being introduced to more advanced topics. This edition includes new material on testing and domain-specific languages and a variety of new examples and case studies, including simple games. Existing material has been expanded and re-ordered, so that some concepts - such as simple data types and input/output - are presented at an earlier stage.

目次

Preface 1 Introducing functional programming 1.1 Computers and modelling 1.2 What is a function? 1.3 Pictures and functions 1.4 Types 1.5 The Haskell programming language 1.6 Expressions and evaluation 1.7 Definitions 1.8 Function definitions 1.9 Types and functional programming 1.10 Calculation and evaluation 1.11 The essence of Haskell programming 1.12 Domain-specific languages 1.13 Two models of Pictures 1.14 Tests, properties and proofs 2 Getting started with Haskell and GHCi 2.1 A first Haskell program 2.2 Using Haskell in practice 2.3 Using GHCi 2.4 The standard prelude and the Haskell libraries 2.5 Modules 2.6 A second example: Pictures 2.7 Errors and error messages 3 Basic types and definitions 3.1 The Booleans: Bool 3.2 The integers: Integer and Int 3.3 Overloading 3.4 Guards 3.5 Characters and strings 3.6 Floating-point numbers: Float 3.7 Syntax 4 Designing and writing programs 4.1 Where do I start? Designing a program in Haskell 4.2 Solving a problem in steps: local definitions 4.3 Defining types for ourselves: enumerated types 4.4 Recursion 4.5 Primitive recursion in practice 4.6 Extended exercise: pictures 4.7 General forms of recursion 4.8 Program testing 5 Data types, tuples and lists 5.1 Introducing tuples and lists 5.2 Tuple types 5.3 Introducing algebraic types 5.4 Our approach to lists 5.5 Lists in Haskell 5.6 List comprehensions 5.7 A library database 6 Programming with lists 6.1 Generic functions: polymorphism 6.2 Haskell list functions in the Prelude 6.3 Finding your way around the Haskell libraries 6.4 The Picture example: implementation 6.5 Extended exercise: alternative implementations of pictures 6.6 Extended exercise: positioned pictures 6.7 Extended exercise: supermarket billing 6.8 Extended exercise: cards and card games 7 Defining functions over lists 7.1 Pattern matching revisited 7.2 Lists and list patterns 7.3 Primitive recursion over lists 7.4 Finding primitive recursive definitions 7.5 General recursions over lists 7.6 Example: text processing 8 Playing the game: I/O in Haskell 8.1 Rock - Paper - Scissors: strategies 8.2 Why is I/O an issue? 8.3 The basics of input/output 8.4 The do notation 8.5 Loops and recursion 8.6 Rock - Paper - Scissors: playing the game 9 Reasoning about programs 9.1 Understanding definitions 9.2 Testing and proof 9.3 Definedness, termination and finiteness 9.4 A little logic 9.6 Further examples of proofs by induction 9.7 Generalizing the proof goal 10 Generalization: patterns of computation 10.1 Patterns of computation over lists 10.2 Higher-order functions: functions as arguments 10.3 Folding and primitive recursion 10.4 Generalizing: splitting up lists 10.5 Case studies revisited 11 Higher-order functions 11.1 Operators: function composition and application 11.2 Expressions for functions: lambda abstractions 11.3 Partial application 11.4 Under the hood: curried functions 11.5 Defining higher-order functions 11.6 Verification and general functions 12 Developing higher-order programs 12.1 Revisiting the Picture example 12.2 Functions as data: strategy combinators 12.3 Functions as data: recognising regular expressions 12.4 Case studies: functions as data 12.5 Example: creating an index 12.6 Development in practice

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