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1)  Equality constrained optimization
等式约束最优化
2)  inequality constrained optimization
不等式约束优化
1.
A strongly subfeasible directions method for solving nonlinear inequality constrained optimization problems is presented by using the generalized gradient projection.
利用广义投影技术建立一个求解非线性不等式约束优化问题的强次可行方向法。
2.
In this paper,a feasible interior point method is proposed for solving inequality constrained optimization problem.
本文针对非线性不等式约束优化问题,提出了—个可行内点型算法。
3.
In this paper,a new QP-free feasible method is proposed for solving inequality constrained optimization problems,by a new piecewise linear NCP functions.
本文利用一个新的分片线性NCP函数提出一个新的可行的QP-free方法解非线性不等式约束优化问题。
3)  equality constrained optimization
等式约束优化
1.
An algorithm based on the augmented Lagrange for equality constrained optimization;
基于增广Lagrange函数的等式约束优化算法
2.
A new SQP algorithm for equality constrained optimization
等式约束优化一个新的SQP算法
3.
In this paper,equality constrained optimization is researched.
本文研究了等式约束优化问题。
4)  Inequality constrained optimal Control
不等式约束最优控制
5)  constrained optimization
约束最优化
1.
Based on that a constrained optimization model of blending formulation to determine the best proportion of leaf tobacco was obtained.
应用BP神经网络建立了叶组配方的主要化学成分含量与其感官质量和烟气化学成分含量之间的非线性映射关系,在此基础上建立了相关的约束最优化模型并求解,由此得到所选取烟叶的最佳配方比例。
2.
The new method of Spot color separation in this paper consists of the constrained optimization model of Ink customization and Spot color separation according to the attribute of the original pattern’s color.
该算法首先根据图像的颜色属性,建立油墨定制与分色的约束最优化模型,然后采用迭代法来完成油墨定制及图像分色。
3.
With the estimation of pressure in single wells, we take logging data as constraints to estimate formation pressure from seismic interval velocity data, SUMT method was adopted in the conversion of constrained optimization problem to unconstrained optimization problem.
采用惩罚函数法将约束最优化问题转化为无约束最优化问题,再用阻尼最小二乘法求解。
6)  inequality constrained optimization
不等式约束优化问题
1.
In this paper, the K-T conditions of inequality constrained optimization is transformed to a equi-valent nonlinear system by adding slack variables and using Fischer function, and a new smoothing Newton method is proposed, where a parameter μ is introduced.
本文通过引入松弛变量和Fischer函数把带有不等式约束优化问题的K-T条件转化为一个等价的非线性系统,并引入一参数μ,从而提出了一种新的光滑牛顿法。
补充资料:等式约束
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性质:对优化问题中目标函数自变量的取值用等式加以限制的约束。例如优化问题minf(x),x∈En,Ax=M,Bx>N,Ax=M即是等式约束。

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