Functional programming

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  • Software development today is embracing functional programming (FP), whether it's for writing concurrent programs or for managing Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language.

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  • Functional Programming in C# leads you along a path that begins with the historic value of functional ideas. Inside, C# MVP and functional programming expert Oliver Sturm explains the details of relevant language features in C# and describes theory and practice of using functional techniques in C#, including currying, partial application, composition, memoization, and monads.

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  • In the 40s the first computers were built. The very first models were ‘programmed’ by means of huge connection boards. Soon the program was stored in computer memory, introducing the first programming languages. Because in those days computer use was very expensive, it was obvious to have the programming language resemble the architecture of the computer as close as possible. A computer consists of a central processing unit and a memory. Therefore a program consisted of instructions to modify the memory, executed by the processing unit. With that the imperative programming style arose.

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  • he Design of Functional Programs - A Calculational ApproachAuthor : Dr. Robert Richard Hoogerwoord, Distributed Systems Group, Technische Universiteit EindhovenPublication Date : 1989 This document was suggested by John PintoDocument Excerpts:It is well-known that there is only one way to establish the correctness of a computer program, namely by rigorous mathematical proof. Acceptance of this f......

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  • Functional programming models a computational problem as a collection of mathematical functions, each with an input (domain) and a result (range) spaces. Functions interact and combine with each other using functional composition, conditionals, and recursion. Major functional programming languages are Lisp, Scheme, Haskell, and ML. Functional programming is discussed and illustrated in Chapter 14.

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  • Chapter 14 - Functional programming. The main contents of chapter 14c include all of the following: Functions and the lambda calculus; haskell: Introduction, expressions, lists and list comprehensions, elementary types and values, control flow, defining functions, tuples.

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  • Chapter 14d - Haskell. A number of recent developments in functional programming are not well-captured by the traditional languages, Common Lisp and Scheme. In this section, we introduce a more modern functional language, Haskell, whose features signal more clearly the present and future directions in functional programming research and applications.

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  • Chapter 18d - Correctness of functional programs. This section addresses the question of program correctness functional programming. We visit the question of how to prove a program conect for the special case when it is written in a pure functional program-one that is state-less and relies instead on functional composition and recursion as a foundation for its semantics.

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  • Khái niệm hàm người dung (user define function): - Hầu hết các ngôn ngữ lập trình, hay cơ sở dữ liệu lớn, luôn luôn có một phần mở rộng cho phép người dùng tự định nghĩa một số quy tắc, hàm hoặc thủ tục. - User define function giống như stored procedure của SQL server. Hàm người dùng cũng có thể truyền tham số nhưng không được mang thuộc tính OUTPUT. Thay vào đó chúng ta dùng câu lệnh RETURN.

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  • Divide and conquer: Construct a program from smaller pieces or components. Each piece more manageable than the original program. Modules: functions and classes. Programs use new and “prepackaged” modules. New: programmer-defined functions, classes. Prepackaged: from the standard library. Functions invoked by function call: Function name and information (arguments) it needs. Function definitions: Only written once. Hidden from other functions.

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  • Why learn F#? With this guide, you’ll learn how this multi-paradigm language not only offers you an enormous productivity boost through functional programming, but also lets you develop applications using your existing object-oriented and imperative programming skills. You’ll quickly discover the many advantages of the language, including access to all the great tools and libraries of the .NET platform.

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  • Tham khảo tài liệu 'dive into python-chapter 16. functional programming', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • These notes are written based on the book The C Programming Language, by Brian Kernighan and Dennis Ritchie, or K&R (The second edition was published in 1988 by Prentice-Hall, ISBN 0-13-110362-8.). The sections are cross-referenced to those of K&R, for the reader who wants to pursue a more in-depth exposition.

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  • Functional programming (FP) is the oldest of the three major programming paradigms. The first FP language, IPL, was invented in 1955, about a year before Fortran. The second, Lisp, was invented in 1958, a year before Cobol. Both Fortran and Cobol are imperative (or procedural) languages, and their immediate success in scientific and business computing made imperative programming the dominant paradigm for more than 30 years. The rise of the object-oriented (OO) paradigm in the 1970s and the gradual maturing of OO languages ever since have made OO programming the most popular paradigm today....

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  • Scala is an exciting, modern, multi-paradigm language for the JVM. You can use it to write traditional, imperative, object-oriented code. But you can also leverage its higher level of abstraction to take full advantage of modern, multicore systems. Programming Scala will show you how to use this powerful functional programming language to create highly scalable, highly concurrent applications on the Java Platform.

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  • Chapter 2 λ Calculus The λ (lambda) calculus [7] created by Church and Kleene in the 1930’s is at the heart of functional programming languages. We will use it as a foundation for sequential computation. The λ calculus is Turing-complete, that is, any computable function can be expressed and evaluated using the calculus. The λ calculus is useful to study programming language concepts because of its high level of abstraction. In the following sections, we will motivate the λ calculus and introduce its syntax and semantics (Section 2.

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  • Lecture F# include the contents: Functional programming; imperative irogramming; Object – Oriented Programming; organizing, annotating, and quoting; F# libraries; user interfaces; data access; threadings. Inviting you to refer.

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  • Lecture "Charter 5: C Functions" provides students with the knowledge: Introduction, program Modules in C, math library functions, functions, function definitions, function prototypes, function call stack and activation records,... Inviting you refer.

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  • Chapter 14 - Scheme. As languages which attempt to unify a number of valiants, both Scheme and Common Lisp contain a number of equivalent functions. This chapter presents a purely functional subset of Scheme. This chapter presents the following content: Example semantics of clite, example symbolic differentiation, example eight queens.

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  • The old 80/20 rule for software—that 80% of a program’s users use only 20% of a program’s features— doesn’t apply to Microsoft Excel. Instead, this program probably operates under what could be called the 95/5 rule: 95% of Excel users use a mere 5% of the program’s power. On the other hand, most people know that they could be getting more out of Excel if they could only get a leg up on building formulas and using functions.

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