1·A region decomposition method to solve a positive definite quadratic programming is presented.
给出了一个求解正定二次规划的区域分解方法。
2·Most existed classification problems can be converted into a positive definite quadratic program.
现有的大多数分类问题都能转化成一个正定二次规划问题的求解。
3·It is equivalent to the conjugate residual method (CR) in the case of symmetric positive definite.
在处理对称正定问题时，它等价于共轭残量(cr)法。
4·Results linear complementary problem have unique solution when m is generalized positive definite matrix.
结果得到了当m是广义正定矩阵时，线性互补问题存在唯一解。
5·It wishes to find a new way for normative research into the concept of generalized positive definite matrix.
希望为广义正定矩阵概念的规范化探出一条新路。
6·These properties are similar to properties of positive semi-definite matrices and positive definite matrices.
这些性质类似于通常的半正定矩阵及正定矩阵的性质。
7·Positive definite matrix occupies a very important position in matrix theory, and has great value in practice.
正定矩阵在矩阵论中占有十分重要的地位，在实际中也有广泛的应用价值。
8·In chapter 3, we presented a dual method for solving positive definite quadratic programming with box constraints.
在第三章，我们提出了一种解决具有边界约束的正定二次规划问题的对偶方法。
9·The pair correlation functions obtained in this paper are positive definite and satisfy the normalization condition.
本文得到的关联函数是恒正的，并且满足归一化条件。
10·In chapter 2, we presented a method for solving positive definite quadratic programming with coupled-block structure.
在第二章，我们提出了一种解决具有原方块角形结构正定二次规划问题的分解协调算法。