有一个极值问题，也有关于拉格朗日乘数法的，链式法则也会有的,约束条件下偏导数当然不会漏掉。
Expect one about a min/max problem, something about Lagrange multipliers, something about the chain rule and something about constrained partial derivatives.
本文中，利用目标函数或约束条件的几何性质，提供了某些多元函数极值或最值问题的几何解法。
In the paper, it provides the geometrical solution to extreme value of many variables function by geometric properties of objective function or constraint condition.
运用此定理，在线性空间中建立了带广义不等式约束的向量极值问题的最优性条件。
By the alternative theorem, the optimality conditions of vector extremum problems with generalized inequality constraint are established in linear space.
在序线性空间中，利用次似凸映射的择一性定理，得出具有一般约束的向量极值问题的最优性条件。
Using the alternative theorem, the optimality conditions of vector extremum problems with generalized constraint are established in ordered linear space.
许多经济系统中的优化问题，可化为用单值非线性算子或多值算子形成约束条件的条件极值问题。
All know that most of the optimization of economic system can be converted into conditional extreme value problem which takes nonlinear operator or multi operator as constraints.
动态规划法是运筹学中的一种常用的优化算法，可以用来求解约束条件下的函数极值问题。
Dynamic programming is an optimal arithmetic which is commonly used in operational research and can be used to solve the extreme value of the function in restricted condition.
动态规划法是运筹学中的一种常用的优化算法，可以用来求解约束条件下的函数极值问题。
Dynamic programming is an optimal arithmetic which is commonly used in operational research and can be used to solve the extreme value of the function in restricted condition.
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