相对于行列分解法，该算法节省了约一半的乘法次数，省略了数据的转置存储过程，而加法的运算复杂度基本维持不变。
Compared to Roll and Column Method (RCM), this new fast algorithm reduces half of multiplication times, eliminates transposition of data, and retains computational complexity of addition.
提出了一种可以进行列主元选取的细粒度lu分解流水线算法并在现场编程门阵列(FPGA)上得到了实现。
This paper presents a fine-grained pipeline algorithm for lu decomposition with column partial pivoting and gives the description of its implementation on field-programmable gate arrays (FPGA).
以网络信息流分解为基础，利用范德·蒙德行列式的性质设计多播码字，在多播组成员固定的条件下实现不同维数多播码字的转换。
Based on information flow decomposition, multicast code of different dimensions in the case of fixed multicast members is constructed by exploiting the property of Vandermonde determinant.
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