本文整理汇总了C#中MathNet.Numerics.LinearAlgebra.Complex.SparseMatrix.At方法的典型用法代码示例。如果您正苦于以下问题：C# SparseMatrix.At方法的具体用法？C# SparseMatrix.At怎么用？C# SparseMatrix.At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MathNet.Numerics.LinearAlgebra.Complex.SparseMatrix的用法示例。
在下文中一共展示了SparseMatrix.At方法的6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: InsertRow
/// <summary>
/// Creates a new <see cref="SparseMatrix"/> and inserts the given row at the given index.
/// </summary>
/// <param name="rowIndex">The index of where to insert the row.</param>
/// <param name="row">The row to insert.</param>
/// <returns>A new <see cref="SparseMatrix"/> with the inserted column.</returns>
/// <exception cref="ArgumentOutOfRangeException">If <paramref name="rowIndex"/> is < zero or > the number of rows.</exception>
/// <exception cref="ArgumentException">If the size of <paramref name="row"/> != the number of columns.</exception>
public override Matrix<Complex> InsertRow(int rowIndex, Vector<Complex> row)
{
if (rowIndex < 0 || rowIndex > RowCount)
{
throw new ArgumentOutOfRangeException("rowIndex");
}
if (row.Count != ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSameRowDimension, "row");
}
var result = new SparseMatrix(RowCount + 1, ColumnCount);
for (var i = 0; i < rowIndex; i++)
{
result.At(i, i, At(i, i));
}
result.SetRow(rowIndex, row);
for (var i = rowIndex + 1; i < result.RowCount; i++)
{
result.At(i, i - 1, At(i - 1, i - 1));
}
return result;
}示例2: OuterProduct
/// <summary>
/// Outer product of two vectors
/// </summary>
/// <param name="u">First vector</param>
/// <param name="v">Second vector</param>
/// <returns>Matrix M[i,j] = u[i]*v[j] </returns>
/// <exception cref="ArgumentNullException">If the u vector is <see langword="null" />.</exception>
/// <exception cref="ArgumentNullException">If the v vector is <see langword="null" />.</exception>
public static Matrix<Complex> OuterProduct(SparseVector u, SparseVector v)
{
if (u == null)
{
throw new ArgumentNullException("u");
}
if (v == null)
{
throw new ArgumentNullException("v");
}
var matrix = new SparseMatrix(u.Count, v.Count);
for (var i = 0; i < u.NonZerosCount; i++)
{
for (var j = 0; j < v.NonZerosCount; j++)
{
if (u._nonZeroIndices[i] == v._nonZeroIndices[j])
{
matrix.At(i, j, u._nonZeroValues[i] * v._nonZeroValues[j]);
}
}
}
return matrix;
}示例3: ToRowMatrix
/// <summary>
/// Create a matrix based on this vector in row form (one single row).
/// </summary>
/// <returns>This vector as a row matrix.</returns>
public override Matrix<Complex> ToRowMatrix()
{
var matrix = new SparseMatrix(1, Count);
for (var i = 0; i < NonZerosCount; i++)
{
matrix.At(0, _nonZeroIndices[i], _nonZeroValues[i]);
}
return matrix;
}示例4: ToColumnMatrix
/// <summary>
/// Create a matrix based on this vector in column form (one single column).
/// </summary>
/// <returns>This vector as a column matrix.</returns>
public override Matrix<Complex> ToColumnMatrix()
{
var matrix = new SparseMatrix(Count, 1);
for (var i = 0; i < NonZerosCount; i++)
{
matrix.At(_nonZeroIndices[i], 0, _nonZeroValues[i]);
}
return matrix;
}示例5: ToRowMatrix
/// <summary>
/// Create a matrix based on this vector in row form (one single row).
/// </summary>
/// <returns>This vector as a row matrix.</returns>
public override Matrix<Complex> ToRowMatrix()
{
var matrix = new SparseMatrix(1, Count);
for (var i = 0; i < _storage.ValueCount; i++)
{
matrix.At(0, _storage.Indices[i], _storage.Values[i]);
}
return matrix;
}示例6: ToColumnMatrix
/// <summary>
/// Create a matrix based on this vector in column form (one single column).
/// </summary>
/// <returns>This vector as a column matrix.</returns>
public override Matrix<Complex> ToColumnMatrix()
{
var matrix = new SparseMatrix(Count, 1);
for (var i = 0; i < _storage.ValueCount; i++)
{
matrix.At(_storage.Indices[i], 0, _storage.Values[i]);
}
return matrix;
}