SICP Goodness - Stream(11)

栏目: IT技术 · 发布时间: 6年前

内容简介:Do you think Computer ScienceAre you feeling that you are doingAre you feeling a bit

Do you think Computer Science equals building websites and mobile apps?

Are you feeling that you are doing repetitive and not so intelligent work?

Are you feeling a bit sick about reading manuals and copy-pasting code and keep poking around until it works all day long ?

Do you want to understand the soul of Computer Science ?

If yes, read SICP!!!

In last article we talked about the integral procedure. In this article, we talk about how to use it to solve differential equations.

First let’s make sure we understand the math. Actually we do not need to open your 1000 page calculus textbook and start reading from page 1. To understand the example in the book we simply need to know how to solve that one differential equations:

y' = y

Let me put this in English: we are trying to find a function y, which the derivative of y is equal to y itself.

We do not even need to know how to solve this ourselves, there are many online tools to help us. So the result of this is

y = e^(x + C)

This is all the math we need to know to continue.

Next we will explain how to solve y' = y using the integral procedure.

There is a Henderson Figure given in the book:

SICP Goodness - Stream(11)

To understand this figure, we can divide it into the upper part and the lower part.

The upper part says is just the integral procedure. It takes in the stream of derivative of y and output the stream of y itself.

The lower part describes the equation y = y' by using the stream map function f(t) = t .

Now let’s try out the solve procedure from the book. y0 = 1 , dt = 0.001 .

(define (integral delayed-integrand initial-value dt)
  (define int
    (cons-stream initial-value
                 (let ((integrand (force delayed-integrand)))
                   (add-stream (scale-stream integrand dt)
                               int))))
  int)

(define (solve f y0 dt)
  (define y (integral (delay dy) y0 dt))
  (define dy (stream-map f y))
  y)


(stream-ref (solve (lambda (y) y) 1 0.001) 1000)

;Value: 2.716923932235896

Acually, by following the Henderson figure, we can figure out what the y stream looks like by hand.

1

1 + dt

1 + dt + (1 + dt)dt

1 + dt + (1 + dt)dt + (1 + dt + (1 + dt)dt)dt

... ...

So we can simply write solve in the following form:

(define (solve f y0 dt n)
  (define (s f y0 dt n r)
    (if (= n 0)
        r
        (s f y0 dt (- n 1) (+ r (* (f r) dt)))))
  (s f y0 dt n y0))
  
(solve (lambda (x) x) 1 0.001 1000)
;Value: 2.716923932235896

We can see that the result is the same.


以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网

查看所有标签

猜你喜欢:

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

用户体验要素

用户体验要素

Jesse James Garrett / 范晓燕 / 机械工业出版社 / 2011-7-1 / 39.00元

《用户体验要素:以用户为中心的产品设计(原书第2版)》是AJAX之父Jesse James Garrett的经典之作。本书用简洁的语言系统化地诠释了设计、技术和商业融合是最重要的发展趋势。全书共8章,包括关于用户体验以及为什么它如此重要、认识这些要素、战略层、范围层、结构层、框架层、表现层以及要素的应用。 《用户体验要素:以用户为中心的产品设计(原书第2版)》用清晰的说明和生动的图形分析了以......一起来看看 《用户体验要素》 这本书的介绍吧!

JSON 在线解析
JSON 在线解析

在线 JSON 格式化工具

SHA 加密
SHA 加密

SHA 加密工具

RGB CMYK 转换工具
RGB CMYK 转换工具

RGB CMYK 互转工具