- 不等式约束问题
- problem: n. 1.问题，课题；疑难问题；令人困惑的情况。 2.【 ...
- inequality: n. 1.不平等，不平均，不平衡，不等量。 2.不相同， ...
- constraint: n. 1.强迫，拘束。 2.约束，压抑，拘泥。 3.强制 ...
- inequality constraint: 不等式约束; 不等性约束
- linear inequality constraint: 线性不等式约束
下载手机词典可随时随地查词查翻译
problem with inequality constraint中文什么意思
- 不等式约束问题
下载手机词典可随时随地查词查翻译
例句与用法
- We present and analyze a modified penalty functions ( mpf ) method for solving constrained optimization problems with inequality constraints . this method combines the modified penalty and the lagrangian methods
本文提出并分析一种解决不等式约束最优化问题的修改的罚函数法，这一方法综合利用修改的罚函数和拉格朗日法。 - The model of dwell function synthesis of planar six - bar mechanism in the dissertation is decomposed into two relatively independent sub - questions . the first one is to evaluate the characteristic of points on moving rigid body , whose mathematics model is a kind of special non - differential max - mini optimal problem with inequality constraints
对于误差评定，本文利用加权理论，对要求综合的平面六杆机构提出了在保证间歇部分精度要求的条件下，使非间歇部分误差尽可能小的评价思想。 - For applying the hybrid optimization algorithm to solve the optimization problem with constraints , a self - adaptive penalty strategy for handling the constraints is designed , which is used to convert the optimization problem with inequality constraints and equality constraints to the one only with the upper and lower bound constraints of the decision variables
为了便于应用混合优化算法对约束优化问题进行求解，设计了一种处理约束条件的自适应惩罚策略，用于将具有不等式约束和等式约束的优化问题转变为仅包含决策变量上、下限约束的优化问题。 - Chapter 2 establishes the theoretical framework of a class of dual algorithms for solving nonlinear optimization problems with inequality constraints . we prove , under some mild assumptions , the local convergence theorem for this class of dual algorithms and present the error bound for approximate solutions . the modified barrier function methods of polyak ( 1992 ) and the augmented lagrange function method of bertsekas ( 1982 ) are verified to be the special cases of the class of dual algorithms
第2章建立求解不等式约束优化问题的一类对偶算法的理论框架，在适当的假设条件下，证明了该类算法的局部收敛性质，并给出近似解的误差界，验证了polyak ( 1992 )的修正障碍函数算法以及bertsekas ( 1982 )的增广lagrange函数算法都是这类算法的特例。