1) non-convex objective function
非凸目标函数
1.
In this paper, the convergence of memoryless quasi-Newton method for unconstrained optimization problems is discussed, and several sufficient conditions are given for the convergence of memoryless quasi-Newton method with non-convex objective function and inexact line searches.
本文讨论了无约束最优化问题的无记忆拟牛顿方法的收敛性,给出了对于非凸目标函数,在非精确线搜索条件下,无记忆拟牛顿方法收敛性的几个充分性条件。
2) nonlinear target function
非线性目标函数
3) Nonregulare objective function
非常规目标函数
4) nonconvex function
非凸函数
1.
To the unconstrained programme of nonconvex function, this article gives a class of modified BFGS algorithm.
本文对于非凸函数的无约束优化问题,给出一类修正的BFGS算法。
5) objective function
目标函数
1.
Improvement of objective function based on dose constrain in inverse planning optimization of intensity-modulated radiotherapy;
调强放疗逆向计划优化中基于剂量的目标函数改进
2.
Fuzzy modeling of nonlinear system with matrices decomposition based on objective function;
基于目标函数的矩阵分解非线性系统模糊建模
3.
Discussion on engineering economic principles in majorized objective function of water supply pipe network;
给水管网优化目标函数中存在的技术经济概念问题
6) target function
目标函数
1.
The optimization of trajectory for stepped horizontal wells takes well design depth or friction as the target function, which is only based on techniques.
阶梯水平井轨迹优化以设计井深或者摩阻为目标函数,这些都是基于纯技术层面上的,对经济和钻井安全考虑较少。
2.
The first,ascertain the target function,second,build constraint condition,finally carried out the optimization designs,because of the target function is multivariate,no linearity,constraint condition is many but complicated,adopt direct search for delaminating iterative method,the compound shape secretly schemes against face to face much,take and the optimum so.
首先确定目标函数,再建立约束条件,然后进行优化设计,因为目标函数为多变量,非线性,约束条件多而复杂,采用直接搜索分层迭代法,对多个复合形计算,并取各复合形中最好与次好点组成新复合形后进行第二层迭代,获取全局最优解。
3.
Under the condition that the tension stress does not arise in the female die inwall, which can be defined as target function.
以凹模内壁不允许出现拉应力为目标函数,用计算机进行优化设计出组合凹模各圈尺寸,从而获得优于传统计算的最佳设计参数。
补充资料：凸函数
Image:11559688111252300.jpg
凸函数
凸函数是一个定义在某个向量空间的凸子集c（区间）上的实值函数f
设f为定义在区间ｉ上的函数，若对ｉ上的任意两点ｘ１，ｘ２和任意的实数λ∈（０，１），总有
f(λx1+(1-λ)x2)≤λf(x1)+(1-λ)f(x2),
则f称为ｉ上的凸函数.
判定方法可利用定义法、已知结论法以及函数的二阶导数
说明：补充资料仅用于学习参考，请勿用于其它任何用途。