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- This paper is concerned with the problem of real symmetric positive semidefinite matrix pencil under spectral restriction. 本文讨论谱约束下实对称半正定矩阵束的最佳逼近问题，指出一般算法。
- part symmetric positive semidefinite matrix 部分对称半正定矩阵
- THE INVERSE PROBLEMS FOR REAL PART POSITIVE SEMIDEFINITE MATRIX 实部半正定矩阵反问题
- Positive Semidefinite Quadratic Form and Positive Semidefinite Matrix 半正定二次型及半正定矩阵
- Connections Between Euclidian Distance Matrix and Positive Semidefinite Matrix 欧几里得距离矩阵与半正定矩阵的关系
- Triangular (LL~T) Decomposition of Real Symmetric Positive Semidefinite Matrix 实对称半正定矩阵的三角(LL~T)分解
- The Eigenvalues of Positive Semidefinite Matrices 半正定矩阵乘积的特征值
- positive semidefinite matrix 半正定矩阵,非负半正定阵
- The left and right inverse eigenvalue problem for symmetric positive definite and symmetric positive semidefinite matrices on subspace 子空间上的对称正定及对称半正定阵的左右特征值反问题
- Then A is positive semidefinite, negative definite and negative semidefinite. 则A是半正定，负定，半负定的。
- Semidefinite programming is an extension of linear programming(LP) with vector variables replaced by matrix variables and nonnegativity elementwise replaced by positive semidefinite. 半定规划是线性规划的推广，它是在线性规划中用矩阵变量取代向量变量，用矩阵的半正定性取代向量的非负性得到的。
- positive semidefinite matrices 半正定矩阵
- This paper presents a algorithm for distinguishing a real symmetric matrix into a positive definite, positive semidefinite, negative definite, negative semidefinite or non-definite matrix. 给出判别实对称矩阵为正定、半正定、负定、半负定或不定的一个算法；采用选最大对角元的方法，可使数值计算稳定性好。
- By means of the condition of positive semidefinite of a quadratic form, the location of the tool-axis can be acquired. 传统的数控加工均采用球头刀具,由于刀具与被加工曲面间为点接触,加工精度和效率都较低。
- positive semidefinite (definite) quaternion matrix 半正定（正定）四元数阵
- positive semidefinite Hermitian matrix Hermitian半正定矩阵
- The parametric uncertainty systems in this paper were included in a convex optimization subjected to LMIS, which can be solved by positive semidefinite programming (SDP). 对文中采用的不确定性系统，归结为LMIS约束下的凸优化问题，可利用半正定规划技术求解。
- In Chapter 2, a sort of parallel multisplitting methods for solving consistent singular symmetric positive semidefinite linear system is presented using analogously diagonally compensated reduction. 在第二章中，利用类似于对角补偿约化的方法[2]，我们给出了求解奇异相容对称半正定线性方程组的一类并行多重分裂迭代方法。
- In this paper,some properties of weighted subpositive semidefinite matrices were discussed. 讨论了加权亚半正定矩阵的充要条件、分解、特征值、行列式等性质.
- non negative semidefinite matrix 非负半正定阵
