约束优化

As to the techniques I learned from him and used: comparative statics of constrained optimization, the correspondence principle and the envelope theorem, factor price equalization in international trade, valuation of real options, the list could go on.

我从他那里所学所用的技能包括了：约束优化的比较静态学、对应原理和包络定理、国际贸易中的要素价格均等化、实物期权估值，这样的例子不胜枚举。

That is, direct search methods for unconstrained optimization depend on the objective function only through the relative ranks of a countable set of function values.

那就是说，无约束优化的直接搜索法仅仅依赖于通过可数集的函数值的相关阶的目标函数。

Hybrid coding differential evolution algorithm is a new effective way for solving the discrete optimization problem.

混合编码差异演化算法是求解离散约束优化问题的一种有效方法。

The double dogleg path method, which makes use of the information of Cauch step and Newton step, was proposed by Dennis and Mei.

既约Hesse算法是目前较流行的解决非线性等式约束优化问题的有效方法之一。

We also propose an affine scaling trust region interior point algorithm via double dogleg path for nonlinear optimization subject to bounds on variables.

本文又提供了一种基于双折线路径的非单调信赖域内点回代法，求解变量有界的约束优化问题。

Based on the stability condition, the robust stability of uncertain time-delay T-S fuzzy systems subject to actuator saturation is discussed, and the state feedback gain that maximizes the domain of attraction is designed.In chapter 5, a problem of determing stability domain of time-delay T-S fuzzy systems with input saturation is discussed.

在系统参数不确定的情况下，通过构造适当的Lyapunov-Krasovskii泛函，同样给出了该不确定系统的鲁棒稳定性条件，通过求解线性矩阵不等式形式的约束优化问题，可以得到使吸引域尽可能大的状态反馈增益。

Furthermore, applications of these formulae to constructing feasible direction...

证明了这些公式和算法能用来计算搜索方向和线性约束优化中的可行方向的Lagrangian乘子问题。

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。

An modified BFGS algorithm to solve the unconstrained optimization, whose Hessian matrix of the minimum point of the convex function is rank one defect, is presented in this paper.

本文对凸函数在极值点的Hessian矩阵是秩亏一的情况下，给出了一类求解无约束优化问题的修正BFGS算法。

An modified BFGS algorithm o solve the unconstrained optimization, whose Hessian matrix of the minimum point of the convex function is rank one defect, is presented in this paper.

本文对凸函数在极值点的Hessian矩阵是秩亏一的情况下，给出了一类求解无约束优化问题的修正BFGS算法。

So that more consumers can enjoy more delicious quality, technology is even better than wine.

让更多的消费者可以品尝到品质更为鲜美，工艺更为精湛的葡萄酒。

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在你最喜爱的文本编辑器中将它打开。