public static void ExecuteBinaryAndSieve()
{
BinarySieve sieve = new BinarySieve();
IMenuController alg = new Algorythms() as IMenuController;
int maxPrimeSetSize;
if (!int.TryParse(Console.ReadLine(), out maxPrimeSetSize))
{
Console.WriteLine("Not a number. Bhye, Bhye!");
Console.ReadLine();
alg.MainMenu();
}
if (maxPrimeSetSize > 500000)
{
Console.WriteLine("The number was larger than 500.000. We don't have all day here...");
Console.ReadLine();
return;
}
DateTime startTime = DateTime.Now;
sieve.BinarySearch(sieve.SieveOfEratostenes(maxPrimeSetSize));
DateTime endTime = DateTime.Now;
string deltaTime = (endTime - startTime).TotalSeconds.ToString();
Console.WriteLine($"\nExecution time was {deltaTime} seconds");
Console.ReadLine();
alg.MainMenu();
}
public static void Backtracking()
{
//TODO: Add input for number of rows and collumns
EightQueenProblem eightQueenProblem = new EightQueenProblem(8);
eightQueenProblem.Initialize();
eightQueenProblem.DisplaySolution();
Console.ReadLine();
IMenuController alg = new Algorythms() as IMenuController;
alg.MainMenu();
}
public static void ExecuteMultiplyMatrices()
{
// Set up matrices. Use small values to better view
// result matrix. Increase the counts to see greater
// speedup in the parallel loop vs. the sequential loop.
int colCount = 180;
int rowCount = 2000;
int colCount2 = 270;
double[,] m1 = InitializeMatrix(rowCount, colCount);
double[,] m2 = InitializeMatrix(colCount, colCount2);
double[,] result = new double[rowCount, colCount2];
// First do the sequential version.
Console.Error.WriteLine("Executing sequential loop...");
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
MultiplyMatricesSequential(m1, m2, result);
stopwatch.Stop();
Console.Error.WriteLine("Sequential loop time in milliseconds: {0}",
stopwatch.ElapsedMilliseconds);
// For the skeptics.
OfferToPrint(rowCount, colCount2, result);
// Reset timer and results matrix.
stopwatch.Reset();
result = new double[rowCount, colCount2];
// Do the parallel loop.
Console.Error.WriteLine("Executing parallel loop...");
stopwatch.Start();
MultiplyMatricesParallel(m1, m2, result);
stopwatch.Stop();
Console.Error.WriteLine("Parallel loop time in milliseconds: {0}",
stopwatch.ElapsedMilliseconds);
OfferToPrint(rowCount, colCount2, result);
// Keep the console window open in debug mode.
Console.Error.WriteLine("Press any key to exit.");
Console.ReadKey();
IMenuController alg = new Algorythms() as IMenuController;
alg.MainMenu();
}
public static void Initialize()
{
BuySellGold buySellGold = new BuySellGold();
//int[] pricesGroup = new int[10000];
//Random rnd = new Random();
//for (int i = 0; i < pricesGroup.Length; i++)
//{
// pricesGroup[i] = rnd.Next(rnd.Next(0, 100000), 10000000);
//}
int[] pricesGroup = new int[] { 200, 187, 167, 133, 121, 100, 70, 55, 23, 1 };
buySellGold.bestDays = buySellGold.FindMaxOrMinDifference(pricesGroup, pricesGroup.Length);
buySellGold.WriteResults();
IMenuController alg = new Algorythms() as IMenuController;
alg.MainMenu();
}
public static void Meh()
{
IMenuController alg = new Algorythms() as IMenuController;
alg.MainMenu();
}
