semidefinite
美 
英
例句
Result of the simulation shows Semidefinite Programming Ralaxation method is fine feasibility and efficiency.
计算机仿真结果证明：半定规划松驰方法具有良好的可行性和有效性。
We discuss basic ideas of a semismooth Newton's method and its application in solving semidefinite optimization (SDO) problems.
本文讨论半光滑牛顿算法的基本概念与其在求解半定优化问题中的应用。
In particular, the method can be used to solve both linear and nonlinear semidefinite complementarity problems.
特别地，该算法可用于求解线性或非线性半定互补问题。
Finally, optimality necessary arid sufficient conditions for nonlinear convex semidefinite programming are proved.
并给出了非线性半定规划的最优性必要和充分条件。
Compared with the standard problem for semidefinite programming, the perturbed problem has a strictly feasible solution.
相比半定规划的标准问题，该扰动问题具有严格可行解。
A matrix is positive semidefinite if and only if each of its eigenvalues is greater than or equal to zero.
矩阵是正定的当且仅当其每一个特征值大于零。
A perturbed problem for semidefinite programming problem was constructed.
构造半定规划的一个扰动问题。
We introduce semidefinite programming and its applications in Chapter 1.
第一章我们介绍半定规划及其应用。
A semidefinite programming method (SDP)has been proposed to solve the sensor network localization.
利用半定规划松驰法对无线传感器网络进行初始定位。
In this paper, SAT problem is solved by linear semidefinite programming algorithm.
将线性半定规划应用到SAT问题的求解过程中。
To strategically semidefinite. to pick from the tactical measures.
要从战略上定规划.要从战术上拿措施。
Semidefinite programming (SDP) ha a wide range of applications, such as system theory, control theory, mode recognition, etc.
半定规划有着广泛的应用领域，例如系统论，控制论，模式识别等领域。
Aim In order to solve semidefinite programs with standard forms.
目的求解标准形式的半定规划问题。
A Updated Sequential Linearization Method for a Class of Nonlinear Semidefinite Programming
一类非线性半定规划问题改进的序列线性化算法
A sequential linearization method for a class of nonlinear semidefinite programming
一类非线性半定规划问题的连续线性化方法
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
The Similarities and Differences between Semidefinite Programming and Linear Programming
半定规划与线性规划之异同
Numerical stable methods for general positive semidefinite quadratic programming
求解一般半正定二次规划的数值稳定方法
Restricted Inverse and Extended Inverse Semidefinite Programming Problems
半定规划的限制逆问题与广义逆问题
Strengthened Semidefinite Programming Relaxation of Multi-User Detection
多用户检测问题的强化半定规划松弛方法
Semidefinite relaxation detector for higher-order modulated multiple-antenna systems
高阶调制的多天线系统中的半定松弛检测算法
a cut - plane algorithm for semidefinite programming and its application
半定规划的割平面算法及其应用
Generalized bipositive semidefinite solutions to a system of matrix equations
一矩阵方程组的广义双半正定解
Projection and Contraction Methods for Semidefinite Programming
解半定规划的投影收缩法
A semidefinite programming multiuser detector with pretreatment
带预处理的半定规划多用户检测器
Semidefinite Programming Methods for Multiuser Detection
多用户检测问题的半定规划方法
Application of semidefinite programming to near-field multiple source localization
半定规划在近场多源定位问题中的应用
Minor Self- conjugate and Skewpositiove Semidefinite Solutions to a Matrix Equation over Skew Fields
体上一矩阵方程的次自共轭及斜亚半正定解
Positive Semidefinite Quadratic Form and Positive Semidefinite Matrix
半正定二次型及半正定矩阵
Solutions of Inverse Problems for Positive Definite (Semidefinite) Symmetrizable Matrices and the Optimal Approximation Problem
可对称（半）正定化矩阵反问题的解及其最佳逼近
A New Filter Algorithm and Its Convergence of Semidefinite Programming
半定规划问题的筛选算法及其收敛性
Negative Definite Quadratic Form and Negative Semidefinite Quadratic Form
负定二次型与半负定二次型
A Non-interior continuation Newton algorithm for semidefinite programming
半定规划的一个非内部连续化牛顿算法
A Primal-Dual Infeasible Interior Point Algorithm for Semidefinite Programming
半定规划的原始-对偶不可行内点算法
Inverse Problems of Class of Positive Semidefinite Centro-symmetric Matrices
半正定的中心对称矩阵反问题
Minor Self-conjugate and Skewpositive Semidefinite Solutions to a System of Matrix Equations over Skew Fields
体上一矩阵方程组的次自共轭及斜亚半正定解
A Non- Interior Smoothing Algorithm for Semidefinite Programming
半定规划的一种非内点光滑化算法
First-Order Optimality Conditions for Nonsmooth Semidefinite Programming
非光滑半定规划的一阶最优性条件
Complemental Weak Saddle Point and G-Saddle Point Theorem for Multiobjective Semidefinite Programming
多目标半定规划的互补弱鞍点和G-鞍点最优性条件
The Application of Positive Semidefinite Quadratic Form to Proof of Inequality
二次型半正定性在不等式证明中的应用
