条件极值

词组短语

extremum with a condition · extremum with a constraint

与条件极值相关的网络例句 [注：此内容来源于网络，仅供参考]

But the optimizing problem of a real scalar function g where z and its conjugate z* are complex variables frequently arises in adaptive signal processing.

但是，在自适应信号处理中经常会遇到一类以Z为复自变量的标量函数g求极值或条件极值的问题。

Multivariate Function Differential Calculus is widely used, so are the limits of conditions in optimization problems.

多元函数微分学有着极其广泛的应用，其中条件极值在最优化问题中经常用到。

This paper introduce Lagrange multiplier method and its expandings first, and show the necessary condition of Multivariate function's extreme value, and use it to solve the Multivariate function's extreme value problem.

本文首先介绍了拉格朗日乘数法及其拓展，给出了多元函数条件极值的必要条件，并利用它求解了多元函数的条件极值问题。

Then using Positive definite quadratic theory to prove a sufficient condition of Multivariate function's extreme value problem and show some examples about it.

而后利用正定二次型理论，证明了多元函数条件极值的一个充分条件，并给出了其应用的例子。

Extremum of the free multi-function method, multi-function conditions for extremum method.

多元函数自由极值的求法，多元函数条件极值的求法。

Meanwhile,the differences between the conditional extremum and unconditional extremum in concept and evaluation are pointed.

同时还指出了条件极值和无条件极值在概念上及求法上的一些区别。

Based on the precision and the cost of the relationship between the use of conditional extremum for the function of several variables method to determine when the first sample for sampling with probability proportion to size,the second-simple random sampling,the two-stage sampling is optimal allocation.

本文根据精度与费用之间的关系，利用求多元函数条件极值的方法，确定当第一级抽样为有放回PPS抽样，第二级抽样为简单随机抽样时，二阶抽样的样本容量最优分配。

This article first introduced the Lagrange multiplicator law and the development, have given the function of many variables condition extreme value essential condition, and solved the function of many variables condition minimum problem using it.

本文第一介绍了拉格朗日乘数法及其拓展，给出了多元函数条件极值的必要条件，并利用它求解了多元函数的条件极值问题。

This kind of with proviso limit's minimum problem is called the condition minimum problem, its general form is under the condition limit, asks function F the extreme value.

这类附有条件限制的极值问题称为条件极值问题，其一般形式是在条件限制下，求函数F的极值。

Then using the Zhengding quadratic form theory, had proven a function of many variables condition extreme value's sufficient condition, and has given its application example.

而后利用正定二次型理论，证明了多元函数条件极值的一个充分条件，并给出了其应用的例子。

与条件极值相关的网络解释 [注：此内容来源于网络，仅供参考]

conditional distribution：二元极值分布

条件收益率:conditional revenue ratio | 二元极值分布:Conditional distribution | 状态转移算法:conditional jump control arithmetic

existence of extremum：极值的存在

existence conditions 存在条件 | existence of extremum 极值的存在 | existence theorem 存在定理

Generalized extreme value distribution：广义极值分布

条件分布:Generalized extreme value distribution | 广义极值分布:generalized extreme value distribution | 结构表征:characterize

Bivariate extreme value distribution：广义极值分布

泛函极值法:functional extreme value method | 广义极值分布:Bivariate extreme value distribution | 条件分布:Generalized extreme value distribution

extremum conditions：极值条件

extremum 极值 | extremum conditions 极值条件 | extrinsic load 外加载

Extremum mit Nebenbedingungen extremum with auxiliary conditions：有辅助条件的极值

Extremum extremum 极值 | Extremum mit Nebenbedingungen extremum with auxiliary conditions 有辅助条件的极值 | Extremum unter Nebenbedingungen constrained extremum 约束极值

extremum problem with subsidiary condition：附加条件极值问题

extremum conditions 极值条件 | extremum problem with subsidiary condition 附加条件极值问题 | extremum with a condition 条件极值

extremum with a condition：条件极值

extremum problem with subsidiary condition 附加条件极值问题 | extremum with a condition 条件极值 | extremum with a constraint 条件极值

extremum with a constraint：条件极值

extremum problem with subsidiary condition 附加条件极值问题 | extremum with a condition 条件极值 | extremum with a constraint 条件极值

conditional relative extremum：条件相对极值

conditional promotion | 暂准升级 | conditional relative extremum | 条件相对极值 | conditional risk | 条件风险