本文整理汇总了C#中System.Numerics.Vector.ClearSubVector方法的典型用法代码示例。如果您正苦于以下问题：C# Vector.ClearSubVector方法的具体用法？C# Vector.ClearSubVector怎么用？C# Vector.ClearSubVector使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类System.Numerics.Vector的用法示例。
在下文中一共展示了Vector.ClearSubVector方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: DoMultiply
/// <summary>
/// Multiplies this matrix with a vector and places the results into the result vector.
/// </summary>
/// <param name="rightSide">The vector to multiply with.</param>
/// <param name="result">The result of the multiplication.</param>
protected override void DoMultiply(Vector<Complex> rightSide, Vector<Complex> result)
{
var d = Math.Min(ColumnCount, RowCount);
if (d < RowCount)
{
result.ClearSubVector(ColumnCount, RowCount - ColumnCount);
}
if (d == ColumnCount)
{
var denseOther = rightSide.Storage as DenseVectorStorage<Complex>;
var denseResult = result.Storage as DenseVectorStorage<Complex>;
if (denseOther != null && denseResult != null)
{
Control.LinearAlgebraProvider.PointWiseMultiplyArrays(_data, denseOther.Data, denseResult.Data);
return;
}
}
for (var i = 0; i < d; i++)
{
result.At(i, _data[i]*rightSide.At(i));
}
}示例2: DoConjugateTransposeThisAndMultiply
/// <summary>
/// Multiplies the conjugate transpose of this matrix with a vector and places the results into the result vector.
/// </summary>
/// <param name="rightSide">The vector to multiply with.</param>
/// <param name="result">The result of the multiplication.</param>
protected override void DoConjugateTransposeThisAndMultiply(Vector<Complex> rightSide, Vector<Complex> result)
{
var d = Math.Min(ColumnCount, RowCount);
if (d < ColumnCount)
{
result.ClearSubVector(RowCount, ColumnCount - RowCount);
}
if (d == RowCount)
{
var denseOther = rightSide.Storage as DenseVectorStorage<Complex>;
var denseResult = result.Storage as DenseVectorStorage<Complex>;
if (denseOther != null && denseResult != null)
{
// TODO: merge/MulByConj
Control.LinearAlgebraProvider.ConjugateArray(_data, denseResult.Data);
Control.LinearAlgebraProvider.PointWiseMultiplyArrays(denseResult.Data, denseOther.Data, denseResult.Data);
return;
}
}
for (var i = 0; i < d; i++)
{
result.At(i, _data[i].Conjugate()*rightSide.At(i));
}
}