private static void ComputeForCheckPrecisionOffItterativeAlgoritm(List <int> iterativeList)
{
var resultList = new List <AlgorithmIterativePrecisionModel>();
foreach (var iterativeNumber in iterativeList)
{
var points = DataParser.ParsePointData(_csvFile.Replace("%points%", "250").Replace("%route%", "1"), 1);
var pointsToAlg = new List <DataPoint>();
for (int i = 0; i < points.Count; i++)
{
if (i % 2 == 0)
{
pointsToAlg.Add(points[i]);
}
}
var csiGaussSeidel = new CubicSplineInterpolation(pointsToAlg, AlgorithmType.IterativeGaussSeidel, iterativeNumber);
var csiGaussJacobi = new CubicSplineInterpolation(pointsToAlg, AlgorithmType.IterativeJacobi, iterativeNumber);
var indexes = new List <double>();
for (double i = 0; i < points.Count - 2; i++)
{
indexes.Add(i);
}
var valuesFromFile = indexes.Select(x => new { x, value = points.First(p => p.X == x).Y, AlgorithmType = AlgorithmType.None }).ToList();
var expectedValuesForSeidel = indexes.Select(x => new { x, value = csiGaussSeidel.GetObjectiveFunction(x), AlgorithmType = AlgorithmType.IterativeGaussSeidel }).ToList();
var expectedValuesForJacobi = indexes.Select(x => new { x, value = csiGaussJacobi.GetObjectiveFunction(x), AlgorithmType = AlgorithmType.IterativeJacobi }).ToList();
resultList.AddRange(expectedValuesForSeidel
.Concat(valuesFromFile)
.Concat(expectedValuesForJacobi)
.GroupBy(x => x.x)
.Select(gl => new AlgorithmIterativePrecisionModel
{
XKey = gl.Key,
Iteration = iterativeNumber,
ValueFromFile = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.None).value,
ValueForGaussSeidel = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.IterativeGaussSeidel).value,
ValueForJacobi = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.IterativeJacobi).value,
})
.Where(r => r.ValueFromFile - r.ValueForGaussSeidel != 0)
.ToList());
}
foreach (var result in resultList)
{
result.IsSameValue = result.ValueForGaussSeidel == result.ValueForJacobi;
}
using (var writer = new StreamWriter($"result_check_preciscion_iterative_algo.csv"))
using (var csv = new CsvWriter(writer))
{
csv.WriteRecords(resultList);
}
}
static void ComputeAltitudeProfileC1(List <int> routeNumbers)
{
var pointsToAlgo = new List <int> {
50, 250, 500
};
foreach (var routeNumber in routeNumbers)
{
foreach (var pointsQuantity in pointsToAlgo)
{
var pointsFromRoute = DataParser.ParsePointData(_csvFile.Replace("%points%", pointsQuantity.ToString()).Replace("%route%", routeNumber.ToString()), routeNumber);
var pointsGivenToAlgo = new List <DataPoint>();
for (int i = 0; i < pointsFromRoute.Count; i++)
{
if (i % 2 == 0)
{
pointsGivenToAlgo.Add(pointsFromRoute[i]);
}
}
var csiGaussSeidel = new CubicSplineInterpolation(pointsGivenToAlgo, AlgorithmType.IterativeGaussSeidel);
var csiGaussJacobi = new CubicSplineInterpolation(pointsGivenToAlgo, AlgorithmType.IterativeJacobi);
var csiGaussPartialPivot = new CubicSplineInterpolation(pointsGivenToAlgo, AlgorithmType.GaussPartialPivot);
var csiSparseIterativeJacobi = new CubicSplineInterpolation(pointsGivenToAlgo, AlgorithmType.SparseIterativeJacobi);
var alglib = new CubicSplineInterpolation(pointsGivenToAlgo, AlgorithmType.SparseAlgLibraryType);
var indexes = new List <double>();
for (double i = 0; i < pointsFromRoute.Count - 2; i++)
{
indexes.Add(i);
}
var valuesFromFile = indexes.Select(x => new { x, value = pointsFromRoute.First(p => p.X == x).Y, AlgorithmType = AlgorithmType.None }).ToList();
var expectedValuesForAlglib = indexes.Select(x => new { x, value = alglib.GetObjectiveFunction(x), AlgorithmType = AlgorithmType.SparseAlgLibraryType }).ToList();
var expectedValuesForSeidel = indexes.Select(x => new { x, value = csiGaussSeidel.GetObjectiveFunction(x), AlgorithmType = AlgorithmType.IterativeGaussSeidel }).ToList();
var expectedValuesForJacobi = indexes.Select(x => new { x, value = csiGaussJacobi.GetObjectiveFunction(x), AlgorithmType = AlgorithmType.IterativeJacobi }).ToList();
var expectedValuesForPartialPivot = indexes.Select(x => new { x, value = csiGaussPartialPivot.GetObjectiveFunction(x), AlgorithmType = AlgorithmType.GaussPartialPivot }).ToList();
var expectedValuesForSparseGaussSeidel = indexes.Select(x => new { x, value = csiSparseIterativeJacobi.GetObjectiveFunction(x), AlgorithmType = AlgorithmType.SparseIterativeJacobi }).ToList();
var groupedList = expectedValuesForSeidel
.Concat(expectedValuesForAlglib)
.Concat(valuesFromFile)
.Concat(expectedValuesForJacobi)
.Concat(expectedValuesForPartialPivot)
.Concat(expectedValuesForSparseGaussSeidel)
.GroupBy(x => x.x)
.Select(gl => new
{
gl.Key,
ValueFromFile = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.None).value,
Alglib = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.SparseAlgLibraryType).value,
PartialPivot = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.GaussPartialPivot).value,
GaussSeider = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.IterativeGaussSeidel).value,
Jacobi = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.IterativeJacobi).value,
SparseJacobie = gl.FirstOrDefault(v => v.AlgorithmType == AlgorithmType.SparseIterativeJacobi).value
})
.Where(r => r.ValueFromFile - r.GaussSeider != 0)
.ToList();
using (var writer = new StreamWriter($"result_t{routeNumber}_{pointsQuantity}.csv"))
using (var csv = new CsvWriter(writer))
{
csv.WriteRecords(groupedList);
}
var errors = groupedList.Select(gl => new
{
AbsoluteErrorForAlgLib = Math.Abs(gl.Alglib - gl.ValueFromFile),
RelativeErrorForAlgLib = Math.Abs((gl.Alglib - gl.ValueFromFile) / gl.ValueFromFile),
AbsoluteErrorForJacobi = Math.Abs(gl.Jacobi - gl.ValueFromFile),
RelativeErrorForJacobi = Math.Abs((gl.Jacobi - gl.ValueFromFile) / gl.ValueFromFile),
AbsoluteErrorForSparseJacobi = Math.Abs(gl.SparseJacobie - gl.ValueFromFile),
RelativeErrorForSparseJacobi = Math.Abs((gl.SparseJacobie - gl.ValueFromFile) / gl.ValueFromFile),
AbsoluteErrorForPartialPivot = Math.Abs(gl.PartialPivot - gl.ValueFromFile),
RelativeErrorForPartialPivot = Math.Abs((gl.PartialPivot - gl.ValueFromFile) / gl.ValueFromFile),
AbsoluteErrorForGaussSeidel = Math.Abs(gl.GaussSeider - gl.ValueFromFile),
RelativeErrorForGaussSeidel = Math.Abs((gl.GaussSeider - gl.ValueFromFile) / gl.ValueFromFile),
})
.ToList();
using (var writer = new StreamWriter($"errors_t{routeNumber}_{pointsQuantity}.csv"))
using (var csv = new CsvWriter(writer))
{
csv.WriteRecords(errors);
}
}
}
}