private void NewtonIterationProcess_CalculateFCoefficient_ValidFCoefficient()
{
FillListsCoordinationData(PathToTestTxt, out var listSrc, out var listDest);
var nip = new NewtonIterationProcess(listSrc, listDest);
var aMatrix = nip.FormingAMatrixTst();
var yMatrix = nip.FormingYMatrixTst();
var paramsTransformMatrix = nip.GetVectorWithTransformParametersTst(aMatrix, yMatrix);
var vMatrix = nip.GetVMatrixTst(aMatrix, yMatrix, paramsTransformMatrix);
var fCoefficientActual = nip.CalculateFCoefficientTst(vMatrix);
var fCoefficientExpected = 3.68548085E-07;
Assert.Equal(fCoefficientExpected, fCoefficientActual, 12); // 10^-12 m^2
}
private void NewtonIterationProcess_CalculateMCoefficient_ValidMCoefficient()
{
FillListsCoordinationData(PathToTestTxt, out var listSrc, out var listDest);
var nip = new NewtonIterationProcess(listSrc, listDest);
var aMatrix = nip.FormingAMatrixTst();
var yMatrix = nip.FormingYMatrixTst();
var paramsTransformMatrix = nip.GetVectorWithTransformParametersTst(aMatrix, yMatrix);
var vMatrix = nip.GetVMatrixTst(aMatrix, yMatrix, paramsTransformMatrix);
var fCoefficient = nip.CalculateFCoefficientTst(vMatrix);
var mCoefficientActual = nip.CalculateMCoefficientTst(fCoefficient);
var mCoefficientExpected = 0.000126585;
Assert.Equal(mCoefficientExpected, mCoefficientActual, 6); // 10^-6 m
}
private void NewtonIterationProcess_GetMeanSquareErrorsMatrix_ValidMeanSquareErrorsMatrix()
{
FillListsCoordinationData(PathToTestTxt, out var listSrc, out var listDest);
var mceMatrixActual = ReadControlDataFromFile(PathToTestTxt + "\\mceMatrix.txt", 7, 1);
var nip = new NewtonIterationProcess(listSrc, listDest);
var aMatrix = nip.FormingAMatrixTst();
var yMatrix = nip.FormingYMatrixTst();
var paramsTransformMatrix = nip.GetVectorWithTransformParametersTst(aMatrix, yMatrix);
var vMatrix = nip.GetVMatrixTst(aMatrix, yMatrix, paramsTransformMatrix);
var fCoefficient = nip.CalculateFCoefficientTst(vMatrix);
var mCoefficient = nip.CalculateMCoefficientTst(fCoefficient);
var qMatrix = nip.GetQMatrixTst(aMatrix);
var mceMatrixExpected = nip.GetMeanSquareErrorsMatrixTst(qMatrix, mCoefficient);
for (int row = 0; row < mceMatrixExpected.Count; row++)
{
Assert.Equal(mceMatrixExpected[row], mceMatrixActual[row, 0], 8);
}
}