rand

PURPOSE

SYNOPSIS

DESCRIPTION

   Random state from a discrete space.
 
   Selects one of the possible values of the given discrete space randomly
   with uniform probability.

   See also DSpace.

CROSS-REFERENCE INFORMATION

• rand Random state from a discrete belief.
• rand Random state from a belief.
• rand Generates random points on a GMixture.
• rand Generates random ponts on a Gaussian.
• rand Random state from a continuous space.
• rand Random state from a discrete space.

• Prediction Belief evolution under the given action.
• Prediction Belief evolution under the given action.
• Prediction Belief evolution given a transition model.
• Update Belief evolution under an observation model.
• MakeFigure3 Generates Figure 3.
• CompressGR Gaussian mixture compression using the Golberger and Roweis method.
• rand Generates random points on a GMixture.
• RandVector Selects and element from a discrete probability distribution.
• CS_CO_ObsModel CS_CO_ObsModel constructor.
• CS_DO_ObsModel CS_DO_ObsModel constructor.
• DiscretizeObsModel Discretizes the observation model on the observation side.
• Perseus The Perseus point-based POMDP solver.
• RandomAction Draws a random action from a POMDP.
• SampleBeliefs Samples a set of beliefs from a POMDP.
• SimulateFrom Simulates a POMDP from a given belief.
• SimulationStep Executes one step of a POMDP simulation.
• iPerseus Improved version of Perseus.
• Discretize Converts a continuous space into a discrete one.
• rand Random state from a continuous space.
• rand Random state from a discrete space.

SOURCE CODE

0001 function v=rand(DS)
0002 %   Random state from a discrete space.
0003 %
0004 %   Selects one of the possible values of the given discrete space randomly
0005 %   with uniform probability.
0006 %
0007 %   See also DSpace.
0008 
0009   v=ceil(rand*DS.max);
0010