edu.jhu.bme.smile.commons.optimize.tensor
Class OptimizeTensor

java.lang.Object
  edu.jhu.bme.smile.commons.optimize.tensor.OptimizeTensor

public class OptimizeTensor
extends java.lang.Object

This class is to test the different optimizers in a simple real-world case. All ND optimizers are used to optimize tensors acquired from diffusion weighted imaging.

Author:

Hanlin Wan

Constructor Summary

OptimizeTensor()

Method Summary

static void	main(java.lang.String[] args)
static Matrix	makeImgMatrix(Matrix m, double bvalue) makes the imgMatrix
static Matrix	normalizeGrad(double[][] g) normalizes the gradient matrix
static void	randTensor() Creates a random tensor.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

OptimizeTensor

public OptimizeTensor()

Method Detail

main

public static void main(java.lang.String[] args)

randTensor

public static void randTensor()

Creates a random tensor.

normalizeGrad

public static Matrix normalizeGrad(double[][] g)

normalizes the gradient matrix

Parameters:

g - gradient matrix to normalize

Returns:

normalized gradient matrix

makeImgMatrix

public static Matrix makeImgMatrix(Matrix m,
                                   double bvalue)

makes the imgMatrix

Parameters:

m - normalized gradient matrix

bvalue - the bvalue

Returns:

imgMatrix