row sum of a matrix 矩阵的行和
row sum of squares 列平方和
row sum vector 行和向量
row sum method 行和方法
Row sum-equal matrix 行等和矩阵
row sum-equal square 行等和方阵
maximum row sum matrix norm 极大行和矩阵范数
maximum absolute row sum norm 极大行和范数
row weight sum vector 行权和向量
One of well-known results is that the greatest eigenvalue of a nonnegative matrix lies between the smallest and the largest row sum.
一个著名的结果是一个非负矩阵的最大特征值在它的最小行和与最大行和之间。
Of course, you can use a similar approach, by computing the sum of the elements in each row and remembering which row is the smallest you've seen so far.
当然，你可以使用类似的方法，计算每行元素之和并记录下值最小的那一行。
The "cumulative row to binary number" mapping is the same as the previous mapping, but you keep a cumulative sum — a running total — of the row values.
“累积行到二进制数”的映射与上一个映射一样，但是累积行值——每次计算总值。
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