Institut de Robòtica i Informàtica Industrial

min

PURPOSE ^

Lower bound of a CSpace

SYNOPSIS ^

function m=min(S)

DESCRIPTION ^

 Lower bound of a CSpace

 Returns the lower bounds of a continuous space for all dimensions as a
 column vector.

CROSS-REFERENCE INFORMATION ^

This function calls:
This function is called by:
  • Distance Distance between beliefs.
  • CompressGR Gaussian mixture compression using the Golberger and Roweis method.
  • Distance Approximated Kullback-Leibler distance between Gaussian mixture.
  • get Get function for the GMixture object.
  • plot Plots a Gaussian mixture.
  • DiscretizeObsModel Discretizes the observation model on the observation side.
  • plot Plots the CS_CO_ObsModel
  • SampleBeliefs Samples a set of beliefs from a POMDP.
  • minReward Lower bound of the minimal possible reward.
  • plot Plots the CS_CA_RewardModel
  • minReward Lower bound of the minimal possible reward.
  • minReward Lower bound of the minimal possible reward.
  • minReward Lower bound of the minimal possible reward.
  • Crop Forces a state to be in a given continuous sub-space.
  • Crop Forces a state to be in a given discrete space.

SOURCE CODE ^

0001 function m=min(S)
0002 % Lower bound of a CSpace
0003 %
0004 % Returns the lower bounds of a continuous space for all dimensions as a
0005 % column vector.
0006 
0007   m=S.min;


Institut de Robòtica i Informàtica Industrial

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