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== 基本概念 ==
 * [[http://en.wikipedia.org/wiki/Functional_programming|Functional programming]] [[http://zh.wikipedia.org/wiki/%E5%87%BD%E6%95%B8%E7%A8%8B%E5%BC%8F%E8%AA%9E%E8%A8%80|函数式编程]]
 * [[http://en.wikipedia.org/wiki/Lambda_calculus|Lambda Calculus]] [[http://zh.wikipedia.org/wiki/%CE%9B%E6%BC%94%E7%AE%97|λ演算]]
 * [[http://en.wikipedia.org/wiki/Currying|Currying]]
 * [[http://en.wikipedia.org/wiki/Closure_%28computer_science%29|Closure]] [[http://zh.wikipedia.org/wiki/%E9%97%AD%E5%8C%85_%28%E8%AE%A1%E7%AE%97%E6%9C%BA%E7%A7%91%E5%AD%A6%29|闭包]]
 * [[http://en.wikipedia.org/wiki/Higher-order_function|Higher-order functions]] [[http://zh.wikipedia.org/wiki/%E9%AB%98%E9%98%B6%E5%87%BD%E6%95%B0|高阶函数]]
 * [[http://en.wikipedia.org/wiki/Recursion|Recursion]] [[http://zh.wikipedia.org/wiki/%E9%80%92%E5%BD%92|递归]]
 * [[http://en.wikipedia.org/wiki/Lazy_evaluation|Lazy evaluation]] [[http://zh.wikipedia.org/wiki/%E6%83%B0%E6%80%A7%E6%B1%82%E5%80%BC|惰性求值]]
 * [[http://en.wikipedia.org/wiki/Fixed_point_combinator|Fix point]] [[http://zh.wikipedia.org/wiki/%E4%B8%8D%E5%8A%A8%E7%82%B9%E7%BB%84%E5%90%88%E5%AD%90|不动点]]
 * [[http://en.wikipedia.org/wiki/Fold_%28higher-order_function%29|fold]]
 * [[http://en.wikipedia.org/wiki/Continuation|Continuation]]
 * [[http://en.wikipedia.org/wiki/Monad_%28functional_programming%29|Monad]]
 * [[https://codon.com/compilers-for-free#partial-evaluation|Compiler for Free]] (Partial Evaluation, Futamura projections)
== SICP相关 ==
 1. Structure and Interpretation of Computer Programs中代码的Python实现: [[SICP的Python实现]]
 1. Structure and Interpretation of Computer Programs http://mitpress.mit.edu/sicp/
 1. https://groups.csail.mit.edu/mac/classes/6.001/abelson-sussman-lectures/
 1. 作者授课录像下载 http://swiss.csail.mit.edu/classes/6.001/abelson-sussman-lectures/
 1. 函数式编程的讨论 http://www.hibernate.org.cn/viewtopic.php?t=7569&postdays=0&postorder=asc&start=0
 1. Scheme标准 http://www.schemers.org/Documents/Standards/R5RS/
 1. The Scheme Programming Language, 2nd Edition ©; 1996 Prentice Hall http://www.scheme.com/tspl2d/
 1. 最省事的scheme环境,初学推荐 http://www.drscheme.org/
 1. 更多关于scheme http://www.schemers.org/ http://www.swiss.ai.mit.edu/projects/scheme/index.html
 1. [[http://blog.zhaojie.me/2009/07/recommended-reading-2-sicp.html|老赵书托(2):计算机程序的构造与解释]]
 1. [[http://numbbbbb.com/2016/03/28/20160328_%E6%88%91%E5%A6%82%E4%BD%95%E7%94%A8%E4%B8%A4%E5%91%A8%E6%97%B6%E9%97%B4%E5%88%B7%E5%AE%8C%20SICP/|我如何用二十天刷完 SICP]]

== 参考资料 ==

 * [[https://www.ibm.com/developerworks/cn/java/j-fp/index.html|Java 语言中的函数编程]]
 * [[https://racket-lang.org/|Racket]] (PLT-Scheme)
 * [[https://coolshell.cn/articles/7526.html|Lisp的永恒之道]]
 * [[https://www.defmacro.org/2006/06/19/fp.html|Functional Programming For The Rest of Us]]
 * [[https://www.yinwang.org/blog-cn/2013/03/31/purely-functional|函数式语言的宗教]]
 * [[https://martinfowler.com/bliki/Lambda.html|Lambda]]
 * XLISP: http://www.mv.com/ipusers/xlisper/
 * XLISP PLUS: http://almy.us/xlisp.html
 * [[http://daiyuwen.freeshell.org/gb/rol/roots_of_lisp.html|Lisp之根源]]
 * [[https://web.archive.org/web/20151221082827/https://michaelochurch.wordpress.com/2013/08/07/why-clojure-will-win/|Why Clojure Will Win]]
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