本文整理汇总了C#中MathNet.Numerics.LinearAlgebra.Double.SparseVector.Sum方法的典型用法代码示例。如果您正苦于以下问题:C# SparseVector.Sum方法的具体用法?C# SparseVector.Sum怎么用?C# SparseVector.Sum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.Double.SparseVector
的用法示例。
在下文中一共展示了SparseVector.Sum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: MeanRowVector
public static SparseVector MeanRowVector(this Matrix<double> matrix)
{
SparseVector meanVector = new SparseVector(matrix.RowCount);
for (int i = 0; i < matrix.RowCount; i++)
{
SparseVector row = new SparseVector(SparseVectorStorage<double>.OfVector(matrix.Row(i).Storage));
double elements = row.NonZerosCount;
if (elements > 0)
{
meanVector[i] = row.Sum() * (1 / elements);
}
else
{
meanVector[i] = 0;
}
}
return meanVector;
}
示例2: MeanColumnVector
public static SparseVector MeanColumnVector(this Matrix<double> matrix)
{
SparseVector meanVector = new SparseVector(matrix.ColumnCount);
for (int i = 0; i < matrix.ColumnCount; i++)
{
SparseVector column = new SparseVector(SparseVectorStorage<double>.OfVector(matrix.Column(i).Storage));
double elements = column.NonZerosCount;
if (elements > 0)
{
double sum = column.Sum();
meanVector[i] = sum*(1/elements);
}
else
{
meanVector[i] = 0;
}
}
return meanVector;
}