- lagrange multipliers
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拉格朗日乘数的英文
例句与用法
- There is also a comprehensive treatment of optimality conditions , lagrange multiplier theory , and duality theory
这门课程也包括了对最适化条件，拉格朗日乘数理论，和对偶理论的综合论述。 - By using the lagrange multiplier approach , the design procedure is formulated as solving the linear equation iteratively to obtain the desirable prototype filter coefficient vector
使用拉格朗日乘数方法，算法通过迭代求解线性方程来获得期望的原型滤波器系数矢量。 - The conclusion that a set of extremum questions can not be solved by lagrange - multiplication is explained through analysising the extremum questions under linear target functions and linear constrained conditions
摘要通过对线性的目标函数在线性的约束条件下的极值问题的分析，得到这类极值问题一般是不能用拉格朗日乘数法求解。 - This optimizing method had been used successfully in full - scale aircraft testing . 6 ) in the global equilibrating , a modified lagrange multiplier method had bring forward . this method can solve inequality constrained optimizer problems
在整体平衡中，提出了改进的拉格朗日乘数法，成功地解决了含不等式约束条件的优化问题，该方法具有计算简单，收敛速度快等特点。 - Review of linear algebra , applications to networks , structures , and estimation , lagrange multipliers , differential equations of equilibrium , laplace ' s equation and potential flow , boundary - value problems , minimum principles and calculus of variations , fourier series , discrete fourier transform , convolution , applications
线性代数回顾，网络，结构以及估计的应用，拉格朗日乘数，平衡态的微分方程，拉普拉斯方程和势流，边值问题，最小值原理和变分法，傅立叶级数，离散傅立叶变换，卷积，应用。
百科释义
在数学最优化问题中，拉格朗日乘数法（以数学家约瑟夫?拉格朗日命名）是一种寻找变量受一个或多个条件所限制的多元函数的极值的方法。这种方法将一个有n 个变量与k 个约束条件的最优化问题转换为一个有n + k个变量的方程组的极值问题，其变量不受任何约束。
详细百科解释