本文整理汇总了C#中SparseCompressedRowMatrixStorage.At方法的典型用法代码示例。如果您正苦于以下问题：C# SparseCompressedRowMatrixStorage.At方法的具体用法？C# SparseCompressedRowMatrixStorage.At怎么用？C# SparseCompressedRowMatrixStorage.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SparseCompressedRowMatrixStorage的用法示例。
在下文中一共展示了SparseCompressedRowMatrixStorage.At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: Transpose
/// <summary>
/// Returns the transpose of this matrix.
/// </summary>
/// <returns>The transpose of this matrix.</returns>
public override Matrix<float> Transpose()
{
var rowPointers = _storage.RowPointers;
var columnIndices = _storage.ColumnIndices;
var values = _storage.Values;
var ret = new SparseCompressedRowMatrixStorage<float>(ColumnCount, RowCount)
{
ColumnIndices = new int[_storage.ValueCount],
Values = new float[_storage.ValueCount]
};
// Do an 'inverse' CopyTo iterate over the rows
for (var i = 0; i < RowCount; i++)
{
// Get the begin / end index for the current row
var startIndex = rowPointers[i];
var endIndex = rowPointers[i + 1];
// Get the values for the current row
if (startIndex == endIndex)
{
// Begin and end are equal. There are no values in the row, Move to the next row
continue;
}
for (var j = startIndex; j < endIndex; j++)
{
ret.At(columnIndices[j], i, values[j]);
}
}
return new SparseMatrix(ret);
}示例2: Transpose
/// <summary>
/// Returns the transpose of this matrix.
/// </summary>
/// <returns>The transpose of this matrix.</returns>
public override Matrix<Complex32> Transpose()
{
var rowPointers = _storage.RowPointers;
var columnIndices = _storage.ColumnIndices;
var values = _storage.Values;
var ret = new SparseCompressedRowMatrixStorage<Complex32>(ColumnCount, RowCount)
{
ColumnIndices = new int[_storage.ValueCount],
Values = new Complex32[_storage.ValueCount]
};
// Do an 'inverse' CopyTo iterate over the rows
for (var i = 0; i < RowCount; i++)
{
var startIndex = rowPointers[i];
var endIndex = rowPointers[i + 1];
if (startIndex == endIndex)
{
continue;
}
for (var j = startIndex; j < endIndex; j++)
{
ret.At(columnIndices[j], i, values[j]);
}
}
return new SparseMatrix(ret);
}