New optimality conditions of the integral global minimization are applied to characterize global minimum in functional space as a sequence of approximating solutions in finite-dimensional Spaces.
本文用有限维逼近无限维的方法来讨论函数空间中的总体最优化问题。
Finally, this thesis gives the definition of the rectilinear Steiner tree problem in more higher-dimensional space, and the corresponding structure of the minimum convex polyhedron.
最后本文给出了在更高维空间的直角斯坦纳树问题的定义，和相应的最小凸多面体的构造。
应用推荐