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1)  Kuhn-Tuck
Kuhn-Tucker方法
2)  Kuhn-Tucker condition
Kuhn-Tucker条件
1.
In the framework of locally convex topological vector space,the scalarization theorem,Kuhn-Tucker conditions as well as the duality theorem and the saddle points theorem on Henig proper efficient solutions with respect to the base for vector optimization involving arcwise connected convex maps are established separately.
在局部凸拓扑向量空间中,建立了弧连通凸映射向量优化问题关于基的Henig真有效解的标量化定理、Kuhn-Tucker条件、对偶性定理以及鞍点定理。
2.
In our algorithm,replacing the lower level problem by its Kuhn-Tucker condition,the bilevel linear programming is transformed into a traditional single-level programming problem,which can be transformed into a series of linear programming problem.
在该方法中,用下层的Kuhn-Tucker条件代替下层问题,将原二层线性规划转化为传统的单层规划问题。
3.
Via connecting linear plus power module ideal point algorithm under Kuhn-Tucker condition,the bilevel multiobjective programming problem is changed to a singula.
给出双层多目标决策问题数学模型的一种解决方法,把线性加权模理想点法和Kuhn-Tucker条件结合起来,从而把双层多目标规划问题转化为单层单目标约束规划问题,进而求得原问题的满意有效解。
3)  Kuhn-Tucker theorem
Kuhn-Tucker定理
1.
One computing method of the minimizing internal forces in multiple robot manipulating systems based on the Kuhn-Tucker theorem was proposed because the Kuhn-Tucker theorem can transform the complex restricted conditions of the minimizing extremism problem.
利用Kuhn-Tucker定理可转化极值问题复杂约束条件的特性,提出了一种求解多机器人作用下物体内力极小值的方法。
2.
In this paper, using a saddle point theorem we prove an abstract Kuhn-Tucker theorem, in which we give an equivalent condition on the existence of solutions of nonlinear programming problems for abstract functions with constrains in operator form.
本文用鞍点定理证明了一个抽象的Kuhn-Tucker定理,即得到由算子形式给出的约束,定义在抽象空间上的函数的非线性规划问题解的存在性的一个等价条件。
4)  Kuhn Tucker condition
Kuhn-Tucker条件
1.
As for weak efficient solution to multi objective programming inequality and equality constrants, the new necessary condition between Fritz John condition and Kuhn Tucker condition is established under weaker condition.
针对具有等式和不等式约束的多目标规划的弱有效解 ,在相对较弱的条件下给出了一个介于著名的Fritz-John条件与 Kuhn-Tucker条件之间新的必要条
5)  kuhn-Tucker conditions
Kuhn-Tucker条件
1.
The author has proved Fritz John conditions and Kuhn-Tucker conditions ofα-major optimal constraint solutions on the bases of the representation ofα-major constraint structure set for the problem.
在给出问题的α-较多约束集结构表示的基础上,证明了这类问题的α-较多约束最优解要满足的FritzJohn条件和Kuhn-Tucker条件。
2.
In this algorithm,inequality constrained least-square problems are first translated to convex quadratic programming problems and then translated to the linear complementarity problem(LCP) using Kuhn-Tucker conditions of quadratic programming,which consequently gives the general form of least-squares estimation in adjustment model,as well as the algorithm is simple and easy to understand.
采用的方法是先将参数带有不等式约束的最小二乘问题转换成凸二次规划问题,然后利用二次规划的Kuhn-Tucker条件把二次规划问题转换成线性互补问题(LCP),从而求得参数最小二乘估计的一般形式,并给出算法,便于在实际测量中应用。
6)  Kuhn-Tucker vectors
Kuhn-Tucker向量
补充资料:[styrene-(2-vinylpyridine)copolymer]
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