--- v1 
+++ v2 
@@ -21,32 +21,34 @@
 ~~~~
 
 The basic model __gauss__ can for instance look as follows.
-~~~~
+
+~~~~
 
 
 
 
 
   
     myg
     
       
         
           
             0
             1
           
         
       
     
   
 
 ~~~~
 
 Issues for recursive basic model definition
 ---
 
 For parametrization it is important to see that IDs may not be unique anymore. Therefore you have to provide additional information for the ID if you use basic models in basic models. In the example an initialization would for example look like this.
+
 ~~~~

Marco Wolf — Mon, 06 Jun 2011 19:11:51 -0000

--- v1 
+++ v2 
@@ -21,32 +21,34 @@
 ~~~~
 
 The basic model __gauss__ can for instance look as follows.
-~~~~
+
+~~~~
 
 
 
 
 
   
     myg
     
       
         
           
             0
             1
           
         
       
     
   
 
 ~~~~
 
 Issues for recursive basic model definition
 ---
 
 For parametrization it is important to see that IDs may not be unique anymore. Therefore you have to provide additional information for the ID if you use basic models in basic models. In the example an initialization would for example look like this.
+
 ~~~~

Recursive definition of basic models === You can use basic models as influences in basic models. In the following example we have a basic model named opengauss that uses another basic model gauss at location distributions to define its influences g1 and g2. g1 + g2 The basic model gauss can for instance look as follows. myg 0 1 Issues for recursive basic model definition --- For parametrization it is important to see that IDs may not be unique anymore. Therefore you have to provide additional information for the ID if you use basic models in basic models. In the example an initialization would for example look like this. 3 1 5 2 Here we get an instance of basic model doublegauss. As it uses the basic model gauss internally for subinfluences and we have to set the parameters of the distributions there using the id followed by a dot as prefix to the parameter name. The same holds for fade out defintion.

Marco Wolf — Mon, 06 Jun 2011 19:11:28 -0000

Recursive definition of basic models === You can use basic models as influences in basic models. In the following example we have a basic model named __opengauss__ that uses another basic model __gauss__ at location __distributions__ to define its influences __g1__ and __g2__. ~~~~ g1 + g2 ~~~~ The basic model __gauss__ can for instance look as follows. ~~~~ myg 0 1 ~~~~ Issues for recursive basic model definition --- For parametrization it is important to see that IDs may not be unique anymore. Therefore you have to provide additional information for the ID if you use basic models in basic models. In the example an initialization would for example look like this. ~~~~ 3 1 5 2 ~~~~ Here we get an instance of basic model __doublegauss__. As it uses the basic model __gauss__ internally for subinfluences and we have to set the parameters of the distributions there using the id followed by a dot as prefix to the parameter name. The same holds for fade out defintion.

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