Skip to content

Commit

Permalink
Updated help
Browse files Browse the repository at this point in the history
  • Loading branch information
woolgathering committed Jul 9, 2019
1 parent 8ca988c commit eeb3c20
Show file tree
Hide file tree
Showing 3 changed files with 3 additions and 3 deletions.
2 changes: 1 addition & 1 deletion HelpSource/Classes/Boids2D.schelp
@@ -1,7 +1,7 @@
TITLE:: Boids2D
summary:: A 2D-optimized flocking algorithm
categories:: Collective Motion
related:: Classes/BoidUnit2D, Classes/Boids3D, Classes/BoidUnit3D, Guides/Boids2D_spatializerGuide
related:: Classes/BoidUnit2D, Classes/Boids3D, Classes/BoidUnit3D, Classes/BoidsND, Guides/Boids2D_spatializerGuide

DESCRIPTION::
Boids2D is an implementation of the Reynolds boids algorithm, optimized for two dimensions. Flock-properties, such as maximum velocity or the weights for the three rules, are Gaussian-distributed such that the mean is the value provided and the standard deviation is that 5% of the mean.
Expand Down
2 changes: 1 addition & 1 deletion HelpSource/Classes/Boids3D.schelp
@@ -1,7 +1,7 @@
TITLE:: Boids3D
summary:: A 3D-optimized flocking algorithm
categories:: Collective Motion
related:: Classes/BoidUnit3D, Classes/Boids2D, Classes/BoidUnit2D
related:: Classes/BoidUnit3D, Classes/Boids2D, Classes/BoidsND, Classes/BoidUnit2D

DESCRIPTION::
Boids3D is an implementation of the Reynolds boids algorithm, optimized for three dimensions. Flock-properties, such as maximum velocity or the weights for the three rules, are Gaussian-distributed such that the mean is the value provided and the standard deviation is that 5% of the mean.
Expand Down
2 changes: 1 addition & 1 deletion HelpSource/Classes/BoidsND.schelp
@@ -1,7 +1,7 @@
TITLE:: BoidsND
summary:: An N-dimensional Reynolds flocking algorithm
categories:: Collective Motion
related:: Classes/BoidsND, Classes/BoidUnit3D, Classes/Boids2D, Classes/BoidUnit2D
related:: Classes/Boids3D, Classes/BoidUnit3D, Classes/Boids2D, Classes/BoidUnit2D

DESCRIPTION::
BoidsND is an implementation of the Reynolds boids algorithm for an arbitrary number of dimensions. Flock-properties, such as maximum velocity or the weights for the three rules, are Gaussian-distributed such that the mean is the value provided and the standard deviation is that 5% of the mean.
Expand Down

0 comments on commit eeb3c20

Please sign in to comment.