1) sparse mode multicast
稀疏模式多播
2) Protocol independent multicast-sparse mode
协议无关组播-稀疏模式
3) PIM-SM
协议无关组播稀疏模式
4) sparse mode
稀疏模式
1.
Existing intra-group forwarding state reduction approaches for sparse mode multicast, which aim to remove forwarding states at non-branching routers, are analyzed, and some problems appearing in these schemes are presented.
分析了已有的用于稀疏模式组播的转发状态组内压缩方案存在的问题,提出了一个新的压缩方案。
5) sparse polynomial
稀疏多项式
1.
It s is very effective for a class of sparse polynomials.
由多项式结构的稀疏性,此算法更能有效处理稀疏多项式。
2.
Eigenvalue matrix for resolving sparse polynomial equations is constructed by deploying well arranged basis in semigroup algebra k[A].
本文利用半群代数k[A]中良序基,构造了求稀疏多项式方程组解的特征值矩阵,并给出了可以构造方阵的条件。
3.
This paper constructs the Eigenvalue Matrix of sparse polynomial equations by means of Gr?bner bases in semigroup algebra k[A] .
利用半群代数 k[A]中 Gr?bner 基,构造了求稀疏多项式方程组解的特征值矩阵。
6) Protocol Independent Multicast-sparse Mode(PIMSM)
与协议无关的组播稀疏模式
补充资料:播播
1.水流声。
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