/// <summary>
/// Creates a new instance of the Vector class.
/// </summary>
/// <param name="data">The array to create this vector from.</param>
/// <returns>The new <c>Vector</c>.</returns>
protected override Vector<Complex32> CreateVector(IList<Complex32> data)
{
var vector = new UserDefinedVector(data.Count);
for (var index = 0; index < data.Count; index++)
{
vector[index] = data[index];
}
return vector;
}
public void CanCreateDenseVectorFromUserDefinedVector()
{
var vector = new UserDefinedVector(Data);
var other = DenseVector.OfVector(vector);
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(vector[i], other[i]);
}
}
public void CanCreateSparseVectorFromUserDefinedVector()
{
var vector = new UserDefinedVector(Data);
var other = new SparseVector(vector);
for (var i = 0; i < Data.Length; i++)
{
AssertHelpers.AreEqual(vector[i], other[i]);
}
}
/// <summary>
/// Creates a <c>UserDefinedVector</c> with random values.
/// </summary>
/// <param name="order">The size of the vector.</param>
/// <returns>A <c>UserDefinedVector</c> with the given dimension and random values.</returns>
public static Vector GenerateRandomUserDefinedVector(int order)
{
// Fill a matrix with standard random numbers.
var normal = new Normal(new MersenneTwister(1));
var v = new UserDefinedVector(order);
for (var i = 0; i < order; i++)
{
v[i] = new Complex32((float) normal.Sample(), (float) normal.Sample());
}
// Generate a matrix which is positive definite.
return v;
}