但是,由于顾客向量的平均值很稀疏,算法的执行更倾向于接近o (M + N)。
However, because the average customer vector is extremely sparse, the algorithm's performance tends to be closer to o (m + n).
对于矩阵来说,MEAN (X)是包含了每列平均值的行向量。
For matrices, mean (X) is a row vector containing the mean value of each column.
顶点的法向量通常是包含这个顶点的所有三角形法向量的平均值。
The vertex normal is usually calculated as the average between the triangle normals of all triangles that include that vertex.
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