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Gaussian Random/Gaussian Random.sol

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+<Solution name="Gaussian Random">
+	<Project name="Gaussian Random" path="Gaussian Random\Gaussian Random.prj" active="true"/>
+</Solution>

Gaussian Random/Gaussian Random/Gaussian Random.prj

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+<Project name="Gaussian Random" guid="b613c17a-c51b-4304-b83d-2c009b8122f8">
+	<Object name="Object" guid="6918e882-945d-4c26-8890-62550ebf859a" active="true">
+		<Script name="Test Script.lsl" guid="f2c9d033-f6f7-4ac2-9dfe-ce9b2d216ab4">
+		</Script>
+	</Object>
+</Project>

Gaussian Random/Gaussian Random/Object/Test Script.lsl

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+// :SHOW:
+// :CATEGORY:Utility Functions
+// :NAME:Gaussian Random
+// :AUTHOR:GMLscripts.com
+// :KEYWORDS:
+// :CREATED:2016-02-26 16:49:01
+// :EDITED:2016-02-26  15:49:01
+// :ID:1100
+// :NUM:1885
+// :REV:1
+// :WORLD:Second Life
+// :DESCRIPTION:
+// DESCRIPTION: []::returns a pseudo-random number with Gaussian or normal distribution
+// :CODE:
+//:License: Copyright (c) 2007-2015, GMLscripts.com
+//DESCRIPTION:
+// This script returns a pseudo-random number with Gaussian or normal distribution, meaning the values returned tend to cluster around a given average or mean value. This could be useful if one needed a random behavior or outcome where deviations from the desired target become more rare as the magnitude of the deviation increases.
+
+/// An example use might be an enemy AI whose skill is represented by the degree of error in its aiming ability. If a target is at 90 degrees, aim = gauss(90,5) would return a firing direction with a small degree of error. This degree of error (or deviation) is controlled by the second argument. In this case, the value returned would be within 5 degrees (one standard deviation) of the desired direction (the mean) about 68% of the time, and within 10 degrees (two standard deviations) about 95% of the time. The lower the given deviation, the greater chance the returned value will be near the given mean, and the more accurate the aim of the AI would be.
+
+// just call gauss(mean,deviation) with e value and the error around it
+//
+//  Returns a pseudo-random number with an exact Gaussian distribution.
+//
+//      mean        mean value of the distribution, real
+//      deviation   standard deviation of distribution, real
+
+
+// Originally from http://www.gmlscripts.com/script/gauss
+// Copyright (c) 2007-2015, GMLscripts.com
+// This software is provided 'as-is', without any express or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software.
+// Permission is granted to anyone to use this software for any purpose,  including commercial applications, and to alter it and redistribute it freely, subject to the following restrictions:
+
+//  1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be   appreciated but is not required.
+//  2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
+//  3. This notice may not be removed or altered from any source distribution.
+  
+float x1;
+float x2;
+float w;
+
+float rand(float mean, float deviation)
+{
+    
+    do {
+        x1 = llFrand(2) - 1;
+        x2 = llFrand(2) - 1;
+        w = x1*x1 + x2*x2;
+    } while (0 >= w || w >= 1);
+
+    w = llSqrt(-2 * llLog(w)/w);
+    return mean + deviation * x1 * w;
+}
+    
+default
+{
+    // sample test program to prioduce  100 gun rounds aimed at 90 degrees.
+    touch_start(integer total_number)
+    {
+        integer i = 100;
+        while (i-- > 0) {
+            // In the case of the gun shooting at a 90 degree angle, the value returned would be within 5 degrees (one standard deviation) of the desired direction (the mean) about 68% of the time, and within 10 degrees (two standard deviations) about 95% of the time. 
+            llSay(0,(string) rand(90,5));
+        }        
+    }
+}