/// <summary>
/// Checks the non-negative least squares solver by comparing the output of a simple
/// non-negative least squares optimization solving for x in the equation Ax=b. The expected
/// values were generated using the lsqnonneg function in Matlab.
/// </summary>
private static void TestNonNegSolver()
{
var matrixA = DenseMatrix.OfArray(new[, ]
{
{ 0.0372, 0.2869 }, { 0.6861, 0.7071 }, { 0.6233, 0.6245 },
{ 0.6344, 0.6170 }, { 0, -200000 }
});
var colB = new DenseVector(new[] { 0.8587, 0.1781, 0.0747, 0.8405, 0.0 });
var initialize = new DenseVector(new[] { 0.0, 0.0 });
var matrixAt = matrixA.Transpose();
var vectorAx = matrixA.Multiply(initialize);
var vectorW = matrixAt * (colB - vectorAx);
var solver = new NonNegLsSolver(2, 5, 1);
solver.SetTolerance(2.2205E-9);
solver.SetMaxIter(6);
Vector <double> solution = new DenseVector(5);
Assert.IsTrue(solver.SolveColumnTest(matrixA, colB, initialize, matrixAt, vectorAx, vectorW, ref solution));
Assert.AreEqual(0.0, solution[0], 0.000001);
Assert.AreEqual(2.344E-11, solution[1], 0.0001);
}
/// <summary>
/// Checks the non-negative least squares solver by comparing the output of a simple
/// non-negative least squares optimization solving for x in the equation Ax=b. The expected
/// values were generated using the lsqnonneg function in Matlab.
/// </summary>
private static void TestNonNegSolver()
{
var matrixA = DenseMatrix.OfArray(new[,]
{
{0.0372, 0.2869}, {0.6861, 0.7071}, {0.6233, 0.6245},
{0.6344, 0.6170}, {0, -200000}
});
var colB = new DenseVector(new[]{0.8587,0.1781,0.0747,0.8405,0.0});
var initialize = new DenseVector(new[] {0.0, 0.0});
var matrixAt = matrixA.Transpose();
var vectorAx = matrixA.Multiply(initialize);
var vectorW = matrixAt*(colB - vectorAx);
var solver = new NonNegLsSolver(2, 5, 1);
solver.SetTolerance(2.2205E-9);
solver.SetMaxIter(6);
Vector<double> solution = new DenseVector(5);
Assert.IsTrue(solver.SolveColumnTest(matrixA, colB, initialize, matrixAt, vectorAx, vectorW, ref solution));
Assert.AreEqual(0.0, solution[0], 0.000001);
Assert.AreEqual(2.344E-11, solution[1], 0.0001);
}
protected override void InitializeSolver()
{
var maxTransInSpectrum = _spectrumProcessor.MaxTransitions(IsoWindowsPerScan);
_deconvHandler = new MsxDeconvSolverHandler(NumDeconvRegions, NumScansBlock, maxTransInSpectrum);
_solver = new NonNegLsSolver(NumDeconvRegions, NumScansBlock, maxTransInSpectrum, true);
}
protected override void InitializeSolver()
{
int maxOverlapComponents = _isoMapper.MaxDeconvInIsoWindow();
var maxTransInSpectrum = _spectrumProcessor.MaxTransitions(maxOverlapComponents * IsoWindowsPerScan);
_deconvHandler = new MsxDeconvSolverHandler(NumDeconvRegions, NumScansBlock, maxTransInSpectrum);
_solver = new NonNegLsSolver(NumDeconvRegions, NumScansBlock, maxTransInSpectrum, true);
}
