public static void Bench()
{
int n = 100;
foreach (var iteration in Benchmark.Iterations)
{
double a = 0;
using (iteration.StartMeasurement())
{
for (int i = 0; i < Iterations; i++)
{
SpectralNorm s = new SpectralNorm();
a += s.Approximate(n);
}
}
double norm = a / Iterations;
double expected = 1.274219991;
bool valid = Math.Abs(norm - expected) < 1e-4;
if (!valid)
{
throw new Exception("Benchmark failed to validate");
}
}
}
public static void Bench()
{
int n = 100;
foreach (var iteration in Benchmark.Iterations)
{
double a = 0;
using (iteration.StartMeasurement())
{
for (int i = 0; i < Iterations; i++)
{
SpectralNorm s = new SpectralNorm();
a += s.Approximate(n);
}
}
double norm = a / Iterations;
double expected = 1.274219991;
bool valid = Math.Abs(norm - expected) < 1e-4;
if (!valid)
{
throw new Exception("Benchmark failed to validate");
}
}
}
public static int Main(String[] args)
{
int n = 100;
if (args.Length > 0) n = Int32.Parse(args[0]);
double norm = new SpectralNorm().Approximate(n);
Console.WriteLine("Norm={0:f9}", norm);
double expected = 1.274219991;
bool result = Math.Abs(norm - expected) < 1e-4;
return (result ? 100 : -1);
}
public static int Main(String[] args)
{
int n = 100;
if (args.Length > 0)
{
n = Int32.Parse(args[0]);
}
double norm = new SpectralNorm().Approximate(n);
Console.WriteLine("Norm={0:f9}", norm);
double expected = 1.274219991;
bool result = Math.Abs(norm - expected) < 1e-4;
return(result ? 100 : -1);
}