本文给出了凝聚映射的范数型锥拉伸和压缩定理。
In this paper, we showed the nome-type compression and expansion theorem of condensing maps.
在具有向量值范数的实向量空间上，通过引入一个定义在向量格上的特殊映射来讨论压缩映射，并证明相应的不动点定理。
The contractive mappings in the vector space, which is with vector norm are defined by a map on the vector lattice.
运用核函数将原始数据映射到核空间中得到核矩阵，再利用L1范数使距离函数达到最小。
It maps original data to kernel space to get a kernel matrix, and utilizes kernel function and L1 norm to minimize the distance function.
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