Lambda演算是一种数学逻辑中的形式化系统,用于表达基于函数抽象和应用的计算,并使用变量绑定和替换。它是一种通用的计算模型,可用于模拟任何图灵机。它构成了Lisp、Haskell和F#等函数式编程语言的理论基础。

Lambda演算是一种数学逻辑中的形式化系统,用于表达基于函数抽象和应用的计算,并使用变量绑定和替换。它是一种通用的计算模型,可用于模拟任何图灵机。它构成了Lisp、Haskell和F#等函数式编程语言的理论基础。
Developed by Alonzo Church in the 1930s, lambda calculus provides a minimalist yet powerful framework for defining and applying functions. Its entire syntax consists of just three components: variables (e.g., `x`), abstractions, and applications. An abstraction, or lambda function, is an anonymous function definition, written as [latex]\lambda x.M[/latex], where `x` is the input parameter and `M` is the body of the function. An application, written as `M N`, represents applying function `M` to argument `N`. Computation in lambda calculus proceeds through a process called beta reduction, where an application of a lambda function to an argument is resolved by substituting the argument for the bound variable within the function’s body. For example, applying [latex](\lambda x.x+1)[/latex] to `3` reduces to `3+1`.
尽管语法简略,lambda 演算却是图灵完备的。它可以纯粹通过函数来表示数字(丘奇数)、布尔值、数据结构和控制流(例如递归)。这表明函数的概念足以实现通用计算。这与基于状态和变异的图灵机模型形成了对比。丘奇-罗瑟定理是 lambda 演算的一个关键属性,它指出应用归约的顺序不会改变最终结果,这一属性被称为汇合。这使得对程序行为的推理比状态变化顺序至关重要的命令式模型要简单得多。
Lambda calculus has had a profound influence on 编程语言 design. It is the direct ancestor of the functional programming paradigm. Concepts that are now common in many languages, such as first-class functions (treating functions as data), higher-order functions (functions that take other functions as arguments), closures (functions that capture their lexical environment), and currying, all have their roots in lambda calculus. Languages like Lisp were among the first to implement these ideas, and modern languages from Haskell to JavaScript and Python have integrated them deeply into their design.
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Lambda演算
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