dim

PURPOSE

SYNOPSIS

DESCRIPTION

   Dimensionality of a discrete space.
 
   Returns the number of dimensions of the discrete space 'DS'.

   See also DSpace.

CROSS-REFERENCE INFORMATION

• DiscretizeActionModel Generates a new action model discretizing the action space.
• CS_DA_ActionModel CS_DA_ActionModel constructor.
• DiscretizeActionModel Produces a new action model discretizing the state space.
• DS_CA_ActionModel DS_CA_ActionModel constructor.
• DS_DA_ActionModel DS_DA_ActionModel constructor.
• GetTest1caParameters The example on Figure 10.
• rand Generates random points on a GMixture.
• DiscretizeObsModel Discretizes the observation model on the observation side.
• plot Plots the CS_CO_ObsModel
• CS_DO_ObsModel CS_DO_ObsModel constructor.
• DiscretizeObsModel Discretizes the observation model on the state side.
• DS_CO_ObsModel DS_CO_ObsModel constructor.
• DS_DO_ObsModel DS_DO_ObsModel constructor.
• ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
• Backup Backup for a given belief (continuous state version).
• ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
• Backup Backupt for a given belief (discrete state version).
• ComputeAlpha_j_a_o Computes a particular alpha-element.
• ComputeAlphas_j_a_o Computes the set of al possible alpha-elements.
• DiscretizeRewardModel Discretizes the reward model on the action side.
• plot Plots the CS_CA_RewardModel
• CS_DA_RewardModel CS_DA_RewardModel constructor.
• DiscretizeRewardModel Discretizes the reward model on the state side.
• DS_CA_RewardModel DS_CA_RewardModel constructor.
• DS_DA_RewardModel DS_DA_RewardModel constructor.

SOURCE CODE

0001 function d=dim(DS)
0002 %   Dimensionality of a discrete space.
0003 %
0004 %   Returns the number of dimensions of the discrete space 'DS'.
0005 %
0006 %   See also DSpace.
0007 
0008   d=DS.max;