Package edu.gsu.cs.dmlab.sparse.approximation.interfaces

Interface ISparseVectorApproximator

All Known Implementing Classes:

LARS_LassoCoeffVectorApproximator, LARS_LassoSparseMatrixApproximator

public interface ISparseVectorApproximator

Interface for objects that do a sparse vecor approximation such that it computes x, such that b = Ax using some method

Author:

Dustin Kempton, Data Mining Lab, Georgia State University

Method Summary

Modifier and Type	Method	Description
void	solve(double[] b, smile.math.matrix.DenseMatrix A, double[] x)	Computes x, such that b = Ax using some method.
void	solve(double[] b, smile.math.matrix.DenseMatrix A, smile.math.matrix.DenseMatrix AtA, double[] x)	Computes x, such that b = Ax using some method.

Method Detail

solve

void solve(double[] b,
           smile.math.matrix.DenseMatrix A,
           double[] x)
    throws VectorDimensionMismatch,
           MatrixDimensionMismatch

Computes x, such that b = Ax using some method.

Parameters:

b - vector on LHS of equation

A - Matrix A to use in the solution

x - vector to compute and return

Throws:

VectorDimensionMismatch - If there is some sort of internal error.

MatrixDimensionMismatch - When there is an error

solve

void solve(double[] b,
           smile.math.matrix.DenseMatrix A,
           smile.math.matrix.DenseMatrix AtA,
           double[] x)
    throws VectorDimensionMismatch,
           MatrixDimensionMismatch

Computes x, such that b = Ax using some method.

Parameters:

b - vector on LHS of equation

A - Matrix A to use in the solution

AtA - Matrix AtA to use in the solution, is the Gram matrix of A.

x - vector to compute and return

Throws:

VectorDimensionMismatch - If there is some sort of internal error.

MatrixDimensionMismatch - When there is an error