Uses of Interface
ca.nengo.math.LinearApproximator

Packages that use LinearApproximator
ca.nengo.math   
ca.nengo.math.impl   
ca.nengo.model.nef.impl   
 

Uses of LinearApproximator in ca.nengo.math
 

Methods in ca.nengo.math that return LinearApproximator
 LinearApproximator LinearApproximator.clone()
           
 LinearApproximator ApproximatorFactory.getApproximator(float[][] evalPoints, float[][] values)
           
 

Uses of LinearApproximator in ca.nengo.math.impl
 

Classes in ca.nengo.math.impl that implement LinearApproximator
 class CompositeApproximator
          A LinearApproximator that approximates multi-dimensional functions as sums of lower-dimensional functions.
 class GradientDescentApproximator
          A LinearApproximator that searches for coefficients by descending an error gradient.
 class IndependentDimensionApproximator
          A LinearApproximator for functions with no multidimensional nonlinearities.
 class WeightedCostApproximator
          A LinearApproximator in which error is evaluated at a fixed set of points, and the cost function that is minimized is a weighted integral of squared error.
 

Methods in ca.nengo.math.impl that return LinearApproximator
 LinearApproximator GradientDescentApproximator.clone()
           
 LinearApproximator WeightedCostApproximator.clone()
           
 LinearApproximator IndependentDimensionApproximator.clone()
           
 LinearApproximator CompositeApproximator.clone()
           
 LinearApproximator GradientDescentApproximator.Factory.getApproximator(float[][] evalPoints, float[][] values)
           
 LinearApproximator WeightedCostApproximator.Factory.getApproximator(float[][] evalPoints, float[][] values)
           
 LinearApproximator IndependentDimensionApproximator.Factory.getApproximator(float[][] evalPoints, float[][] values)
           
 

Constructors in ca.nengo.math.impl with parameters of type LinearApproximator
CompositeApproximator(LinearApproximator[] components, int[][] dimensions)
           
 

Uses of LinearApproximator in ca.nengo.model.nef.impl
 

Methods in ca.nengo.model.nef.impl with parameters of type LinearApproximator
 void DecodedOrigin.rebuildDecoder(LinearApproximator approximator)
          Recalculates the decoders
 void DecodedOrigin.redefineNodes(Node[] nodes, LinearApproximator approximator)
          Changes the set of nodes and recalculates the decoders
 

Constructors in ca.nengo.model.nef.impl with parameters of type LinearApproximator
DecodedOrigin(Node node, java.lang.String name, Node[] nodes, java.lang.String nodeOrigin, Function[] functions, LinearApproximator approximator)
          With this constructor, decoding vectors are generated using default settings.