forked from Alexey/DAS_2024_1
184 lines
5.8 KiB
C#
184 lines
5.8 KiB
C#
using System.Diagnostics;
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internal class Program
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{
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private static string[] _resTableColumnsNames = new string[] { "m*m", "1 t", "2 t", "3 t", "4 t", "5 t", "6 t"};
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private static void Main(string[] args)
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{
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Console.WriteLine(string.Join("\t", _resTableColumnsNames));
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for (int i = 8; i < 13; i++)
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{
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var e = CreateMatrix(i, i);
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List<long> times = new() { i };
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for (int j = 1; j <= 6; j++)
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{
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var sw = new Stopwatch();
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sw.Start();
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CalculateDeterminant(e, j);
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sw.Stop();
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times.Add(sw.ElapsedMilliseconds);
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}
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Console.WriteLine(string.Join("\t", times));
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}
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}
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private static int[,] CreateMatrix(int x, int y)
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{
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var rnd = new Random();
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var res = new int[y, x];
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for (int i = 0; i < y; i++)
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{
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for (int j = 0; j < x; j++)
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{
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res[i, j] = rnd.Next(0, 100);
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}
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}
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return res;
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}
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private static void PritMatrix(int[,] mx)
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{
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for (int i = 0; i < mx.GetLength(0); i++)
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{
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for (int j = 0; j < mx.GetLength(1); j++)
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{
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Console.Write($"{mx[i, j].ToString("000")}\t");
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}
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Console.WriteLine();
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}
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}
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public static long CalculateDeterminant(int[,] matrix, int maxThreads)
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=> CalculateDeterminantParalel(
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matrix,
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Enumerable.Range(0, matrix.GetLength(0)).ToArray(),
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Enumerable.Range(0, matrix.GetLength(1)).ToArray(),
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maxThreads
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);
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private static long CalculateDeterminant(int[,] matrix, int[] rows, int[] columns)
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{
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if (rows.Length <= 3)
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return GetSimpleDeterminant(matrix, rows.ToList(), columns.ToList());
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(int fixIndex, bool isFixRow) = GetTheBestRowColumn(matrix, rows, columns);
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long res = 0;
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int row = isFixRow ? rows[fixIndex] : -1;
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int column = isFixRow ? -1 : columns[fixIndex];
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for (int index = 0; index < rows.Length; index++)
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{
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if (isFixRow)
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column = columns[index];
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else
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row = rows[index];
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res += ((index + fixIndex) % 2 != 0 ? -1 : 1) * matrix[column, row] *
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CalculateDeterminant(matrix, rows.Where(x => x != row).ToArray(), columns.Where(x => x != column).ToArray());
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}
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return res;
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}
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private static long CalculateDeterminantParalel(int[,] matrix, int[] rows, int[] columns, int maxThread)
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{
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if (rows.Length <= 3)
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return GetSimpleDeterminant(matrix, rows.ToList(), columns.ToList());
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(int fixIndex, bool isFixRow) = GetTheBestRowColumn(matrix, rows, columns);
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long res = 0;
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int row = isFixRow ? rows[fixIndex] : -1;
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int column = isFixRow ? -1 : columns[fixIndex];
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var semaphore = new SemaphoreSlim(maxThread, maxThread);
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for (int index = 0; index < rows.Length; index++)
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{
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if (isFixRow)
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column = columns[index];
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else
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row = rows[index];
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var c_column = column;
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var c_row = row;
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var c_index = fixIndex + index;
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semaphore.Wait();
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Task.Run(() =>
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{
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try
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{
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res += (c_index % 2 != 0 ? -1 : 1) * matrix[c_column, c_row] *
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CalculateDeterminant(
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matrix,
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rows.Where(x => x != c_row).ToArray(),
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columns.Where(x => x != c_column).ToArray()
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);
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}
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finally { semaphore.Release(); }
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});
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}
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semaphore.Wait(maxThread);
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return res;
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}
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private static (int fixIndex, bool isFixRow) GetTheBestRowColumn(int[,] matrix, int[] rows, int[] columns)
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{
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Dictionary<int, int> zerosCount = rows.Select(x => x + 1).Union(columns.Select(x => -x - 1)).ToDictionary(x => x, x => 0);
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foreach (var r in rows)
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{
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foreach (var c in columns)
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{
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if (matrix[r, c] == 0)
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{
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zerosCount[r + 1] += 1;
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zerosCount[-c - 1] += 1;
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}
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}
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}
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var best = zerosCount.ToList().OrderByDescending(x => x.Value).FirstOrDefault().Key;
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if (best > 0)
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{
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return (Array.IndexOf(rows, best - 1), true);
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}
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else
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{
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return (Array.IndexOf(columns, -best + 1), false);
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}
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}
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private static long GetSimpleDeterminant(int[,] matrix, List<int> rows, List<int> columns)
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{
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if (rows.Count == 1)
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{
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return matrix[columns[0], rows[0]];
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}
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else if (rows.Count == 2)
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{
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return matrix[columns[0], rows[0]] * matrix[columns[1], rows[1]] - matrix[columns[0], rows[1]] * matrix[columns[1], rows[0]];
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}
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else if (columns.Count == 3)
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{
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return matrix[columns[0], rows[0]] * matrix[columns[1], rows[1]] * matrix[columns[2], rows[2]] +
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matrix[columns[0], rows[1]] * matrix[columns[1], rows[2]] * matrix[columns[2], rows[0]] +
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matrix[columns[0], rows[2]] * matrix[columns[1], rows[0]] * matrix[columns[2], rows[1]] -
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matrix[columns[0], rows[2]] * matrix[columns[1], rows[1]] * matrix[columns[2], rows[0]] -
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matrix[columns[1], rows[0]] * matrix[columns[0], rows[1]] * matrix[columns[2], rows[2]] -
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matrix[columns[0], rows[0]] * matrix[columns[1], rows[2]] * matrix[columns[2], rows[1]];
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}
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throw new Exception();
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}
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} |