;;; PLT Scheme Science Collection ;;; random-distributions/exponential.ss ;;; Copyright (c) 2004 M. Douglas Williams ;;; ;;; This library is free software; you can redistribute it and/or ;;; modify it under the terms of the GNU Lesser General Public ;;; License as published by the Free Software Foundation; either ;;; version 2.1 of the License, or (at your option) any later version. ;;; ;;; This library is distributed in the hope that it will be useful, ;;; but WITHOUT ANY WARRANTY; without even the implied warranty of ;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU ;;; Lesser General Public License for more details. ;;; ;;; You should have received a copy of the GNU Lesser General Public ;;; License along with this library; if not, write to the Free ;;; Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA ;;; 02111-1307 USA. ;;; ;;; ------------------------------------------------------------------- ;;; ;;; This code in based on the Random Number Distributions in the GNU ;;; Scientific Library (GSL). ;;; ;;; Version Date Description ;;; 0.9.0 08/07/04 This is the initial release of the exponential ;;; distribution routines ported from GSL. (Doug ;;; Williams) ;;; 1.0.0 09/28/04 Marked as ready for Release 1.0. Added ;;; contracts for functions. (Doug Williams) (module exponential mzscheme (require (lib "contract.ss")) (provide/contract (random-exponential (case-> (-> random-source? (>/c 0.0) (>=/c 0.0)) (-> (>/c 0.0) (>=/c 0.0)))) (exponential-pdf (-> real? (>/c 0.0) (>=/c 0.0))) (exponential-cdf (-> real? (>/c 0.0) (real-in 0.0 1.0)))) (require "../random-source.ss") ;; random-exponential: random-source x real -> real ;; random-exponential: real -> real ;; ;; This function returns a random variate from the exponential ;; distribution with mean mu. (define random-exponential (case-lambda ((r mu) (let ((u (random-uniform r))) (* (- mu) (log u)))) ((mu) (random-exponential (current-random-source) mu)))) ;; exponential-pdf: real x real -> real ;; ;; This function computes the probability density p(x) at x for an ;; exponential distribution with mean mu. (define (exponential-pdf x mu) (if (< x 0) 0 (/ (exp (/ (- x) mu)) mu))) ;; exponential-cdf: real x real -> real ;; ;; This function computer the cummulative density d(x) at x for an ;; exponential distribution with mean mu. (define (exponential-cdf x mu) (if (< x 0) 0 (- 1.0 (exp (/ (- x) mu))))) )