From 8dbec761cf858ea65900c8a094599857208d8c3a Mon Sep 17 00:00:00 2001
From: "N.N." <matju@users.sourceforge.net>
Date: Tue, 5 Jan 2010 22:49:36 +0000
Subject: svn path=/trunk/; revision=12907

---
 .../doc/2.control.examples/21.markov.chain.pd      | 105 ---------------------
 1 file changed, 105 deletions(-)
 delete mode 100644 desiredata/doc/2.control.examples/21.markov.chain.pd

(limited to 'desiredata/doc/2.control.examples/21.markov.chain.pd')

diff --git a/desiredata/doc/2.control.examples/21.markov.chain.pd b/desiredata/doc/2.control.examples/21.markov.chain.pd
deleted file mode 100644
index 36ca0db8..00000000
--- a/desiredata/doc/2.control.examples/21.markov.chain.pd
+++ /dev/null
@@ -1,105 +0,0 @@
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-#X text 236 166 reset;
-#X text 49 152 STEP;
-#X text 34 20 Here is how to construct a simple \, three-valued Markov
-chain using "random." Each time you click on "step" the previous output
-("state") determines which of three random networks to invoke \, each
-having a different probability distribution for the next value of "state."
-For instance if the state was 3 \, the next state will be 1 70% of
-the time \, state 2 10% \, and state 3 20%.;
-#X text 408 422 updated for Pd version 0.35;
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-- 
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