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exp-ProbNeedle.lisp
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;; -*- Mode:Lisp; Syntax:ANSI-Common-LISP; Coding:us-ascii-unix; fill-column:158 -*-
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;;;
;; @file exp-ProbNeedle.lisp
;; @author Mitch Richling <https://www.mitchr.me>
;; @brief Buffon's Needle Problem.@EOL
;; @std Common Lisp
;; @copyright
;; @parblock
;; Copyright (c) 2005,2015, Mitchell Jay Richling <https://www.mitchr.me> All rights reserved.
;;
;; Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
;;
;; 1. Redistributions of source code must retain the above copyright notice, this list of conditions, and the following disclaimer.
;;
;; 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions, and the following disclaimer in the documentation
;; and/or other materials provided with the distribution.
;;
;; 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software
;; without specific prior written permission.
;;
;; THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
;; IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
;; LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
;; OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
;; LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
;; DAMAGE.
;; @endparblock
;; @filedetails
;;
;; Drop a 1 unit long needle onto a plane with lines 1 unit apart. Compute the probability that the needle hits some line.
;;
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(loop with num-trials = (expt 10 6) ;; Number of trials to perform
with num-hit = 0 ;; Number of needle hits (updated during simulation)
for cur-trial from 1 upto num-trials ;; Primary loop control (cur-trial has current trial count)
for a = (random (/ pi 2)) ;; Compute a random angle between 0 and 90 degrees
for p = (- 1 (sin a)) ;; Compute probability a needle at this angle misses
for r = (random 1.0d0) ;; Compute a random number between 0 and 1
do (if (> r p) (incf num-hit)) ;; Did the needle hit? If so, increment num-hit
when (zerop (mod cur-trial (truncate num-trials 20))) ;; If we are on a 5% mark, then print
do (let ((a-prob (/ num-hit cur-trial))) ;; Compute approximate probability
(format 't "~20,10f ~20,10f~%" ;; Print partial results:
a-prob (abs (- a-prob (/ 2 pi)))))) ;; Approximate probability & Error from theoretical value