The linear model with linear equality constraints is considered.
考虑带线性等式约束的线性模型。
This paper discusses optimization with nonlinear equality and inequality constraints under degeneracy.
讨论了非线性不等式和等式约束优化问题在退化情形下的求解方法。
The estimator problem has equality and inequality constraints, and also the constraints are nonlinear.
估计问题带有等式和不等式约束，约束是非线性的。
Their marginal values can't be analyzed, because it makes no sense to have a marginal value with equality constraints.
它们的边界值不能进行分析，因为使用一个具有等式约束的边界值没有任何意义。
This method is featured by simple procedure, accurate solution of equality or inequality constraints not more than 10.
新方法的特点是程序简单，可以较精确地求解10维以下的等式或不等式约束问题，无需提供偏导数。
Interval objective function, interval inequality constraints and interval equality constraints were discussed separately.
分别对区间目标函数、区间不等式约束和区间等式约束作了讨论。
Presented the constraint force control method can be used to the dynamical systems control with the equality constraints.
提出的约束力控制法，可应用于具有任意等式约束的动力学系统的控制问题中。
This paper deals with the nonlinear equations algorithm for convex nonlinear programming problems with equality constraints.
对等式约束的凸非线性规划问题的非线性方程组算法进行了研究。
The solution of indefinite equations arising from quadratic programming with equality constraints are discussed by ABS algorithms.
运用ABS算法讨论了等式约束优化问题中的拉格朗日乘子法所形成的线性方程组的求解问题；
In this paper, the descending dimension algorithm for nonlinear programming problems with linear equality constraints are discussed.
本文研究含有线性等式约束的非线性规划问题的降维算法。
In this paper, a filled function method for solving global optimization problems with inequality and equality constraints is proposed.
提出了一种解决含有等式约束及不等式约束的全局优化问题的填充函数方法。
The problem can be posed as a standard nonlinear programming problem with equality constraints by means of the stepped reduction method.
利用阶梯折算法，问题可以化为一个具有等式约束的标准的非线性规划问题。
An algorithm of successive quadratic programming (SQP) type is presented to program problems with nonlinear equality and inequality constraints.
建立非线性等式和不等式约束规划问题的一个序列二次规划(sqp)型算法。
Some problems of optimum synthesis of planar multi-bar linkages are studied by the penalty function method with equality and inequality constraints.
在此基础上研究了利用等式约束与不等式约束的惩罚函数法对平面多杆机构进行尺度最优综合的有关问题。
Under definite conditions, comparing two linear models with linear equality constraints, some simple necessary and sufficient conditions is obtained.
在一定条件下，比较带有线性等式约束的两个线性模型，得到了几个简洁的充要条件。
Finally, the optimality conditions for vector optimization problems with set valued maps with equality and inequality constraints are obtained with it.
最后，利用择一性定理，获得了含不等式和等式约束的广义次似凸集值映射向量最优化问题的最优性条件。
In this paper, the authors establish a new method of finding the base feasible solution for linear program subject to non-negative variables and equality constraints.
针对这一问题，文章提出了求非负变量等式约束基本可行解的一种方法。
In the proposed method, virtual measurements are treated as equality constraints, which avoids the numerical ill-conditioning problem due to the disparity in weighting factors.
该方法把虚拟测量处理为等式约束，避免了由于权因子分散而导致的数值病态问题。
The LS-SVM classifier is adopted, which replaces inequality constraints in SVM by equality constraints. So the computation consumption is reduced and the learning performance is improved.
并且采用了最小二乘支持向量机，用等式约束取代了支持向量机中的不等式约束，降低了运算量，提高了学习效率。
Optimization mathematical model of special transformer electromagnetism parameters is a nonlinear programming problem with equality and inequality constraints, to meet some certain design objective.
特种变压器电磁参数的优化设计是一个带有等式和不等式约束，满足某种设计目标的非线性规划问题。
Under the conditions of Partial ic-convex like Maps, optimality necessary conditions of weak efficient solutions for vector optimization problems with equality and inequality constraints are obtained.
在部分生成锥内部凸-锥-凸映射下，得到了既有等式约束又有不等式约束的向量优化问题弱有效解的最优性必要条件。
The reason for the use of this technique is that although the notion of equality performs the distribution of values you are asking for, constraints can apply equality only between aspects of views;
使用这种技术的原因是，虽然相等的概念执行分布您所要求的值，约束可以仅在视图的各方面之间应用等式；
The reason for the use of this technique is that although the notion of equality performs the distribution of values you are asking for, constraints can apply equality only between aspects of views;
使用这种技术的原因是，虽然相等的概念执行分布您所要求的值，约束可以仅在视图的各方面之间应用等式；
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