- Bag<Item> - Class in com.example.colibris.multi.graph
-
The Bag
class represents a bag (or multiset) of
generic items.
- Bag() - Constructor for class com.example.colibris.multi.graph.Bag
-
Initializes an empty bag.
- bandwith - Variable in class com.example.colibris.calib.Meet2regressGeo
-
bd
- bernoulli(double) - Static method in class com.example.colibris.multi.graph.StdRandom
-
Returns a random boolean from a Bernoulli distribution with success
probability p.
- bernoulli() - Static method in class com.example.colibris.multi.graph.StdRandom
-
Returns a random boolean from a Bernoulli distribution with success
probability 1/2.
- bestHyperpath - Variable in class com.example.colibris.multi.hypergraph.ShortestHyperPath
-
best hyperpath that has been generated
- bestMedian - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
best median established by the robust regression
- bestMedian - Variable in class com.example.colibris.calib.regression.MultiRegression.MultivariateRegression
-
best median, as established by the robust regression
- bestMedian - Variable in class com.example.colibris.calib.regression.MultivariateRegression
-
- bestMedian - Variable in class com.example.colibris.calib.regression.Simpleregression
-
best median
- bestMultivariateRegression - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
best multi variate regression (as established by the robust regression
- bestMultivariateRegression - Variable in class com.example.colibris.calib.regression.MultiRegression.MultivariateRegression
-
best multivariate regression
- bestMultivariateRegression - Variable in class com.example.colibris.calib.regression.MultivariateRegression
-
- bestRegression - Variable in class com.example.colibris.calib.regression.Simpleregression
-
best regression as established by the robust regression
- beta - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
regression related parameter: beta
- beta - Variable in class com.example.colibris.calib.regression.MultiRegression.MultivariateRegression
-
vector of beta parameters
- beta - Variable in class com.example.colibris.calib.regression.MultivariateRegression
-
- betaFiltered - Static variable in class com.example.colibris.comtool.ContextData
-
array with the parameters for the filtered case
- betaGeoMeanRegress - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
geometric mean regression
- betaGeoMeanRegress - Variable in class com.example.colibris.calib.regression.MultivariateRegression
-
- betaRobustFiltered - Static variable in class com.example.colibris.comtool.ContextData
-
robust beta parameters
- betaStat - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
regression related parameter: beta statistics
- betaSummaryMax - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
regression related parameter: max
- betaSummaryMean - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
regression related parameter: mean
- betaSummaryMin - Variable in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
regression related parameter:min
- broadcast_addr - Static variable in class com.example.colibris.configuration.Configuration
-
it seems that the network provided by wifidirect is 192.168.49.0
- BROADCAST_SERVER_PORT - Static variable in class com.example.colibris.configuration.Configuration
-
port we are listening to send sound and so one during a meeting when we broadcast
- buildDistanceFeature(double[], double[], double[], double[]) - Method in class com.example.colibris.calib.Meet2regressGeo
-
- buildGeoWeight(HashMap<Integer, Double>, HashMap<Integer, Double>, int) - Method in class com.example.colibris.calib.Meet2regressGeo
-
weighting
- buildRLSRegression() - Method in class com.example.colibris.calib.regression.GeographicallyWeightedRegression
-
Builds a new LinearRegression without outliers found by buildWeight
- buildRLSRegression() - Method in class com.example.colibris.calib.regression.MultiRegression.MultivariateRegression
-
Builds a new LinearRegression without outliers found by buildWeight
- buildRLSRegression() - Method in class com.example.colibris.calib.regression.MultivariateRegression
-
Builds a new LinearRegression without outliers found by buildWeight
- buildRLSRegression() - Method in class com.example.colibris.calib.regression.Simpleregression
-
Builds a new LinearRegression without the 'bad' data found by buildWeight