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1)  Perturbed optimization J-Sup problems
扰动优化J-Sup问题
2)  perturbed problem
扰动问题
1.
A perturbed problem for semidefinite programming problem was constructed.
构造半定规划的一个扰动问题。
2.
In this paper,we discussed the second-order estimation of the local solution of the perturbed problem of a class of nonlinear wave equation by Galerkin method.
本文利用Galerkin方法和数学归纳法研究了一类非线性波动方程的初边值问题的扰动问题的弱解的直到二阶的估计。
3)  perturbation problem
扰动问题
1.
Finally,the perturbation problems for the mixed variational-like inequal- ities problems are discussed,and the existence and uniqueness theorem of the solutions for the perturbation problems is also proved.
最后,讨论了混合似变分不等式问题的扰动问题,并证明了扰动问题的解的存在唯一性定理。
2.
Perturbation problems of variational inequalities on reflexive Banach spaces are discussed.
讨论自反Banach空间上变分不等式的扰动问题,并利用所得的收敛性结果处理Sobolev空间Wm,p(Ω)(1<p≤2)上变分不等式边界条件的扰动问题。
3.
Then, the perturbation problems of the mixed variational-like inequalities problems are studied.
接着研究了混合似变分不等式问题的扰动问题。
4)  dynamic optimization problems
动态优化问题
1.
Adaptive PBIL algorithm for a class of dynamic optimization problems;
自适应PBIL算法求解一类动态优化问题
5)  optimization problem
优化问题
1.
Kernel partial least squares based on least squares support vector machine primal-dual optimization problem;
基于最小二乘支持向量机对偶优化问题的核偏最小二乘
2.
A new algorithm for solving inequality constraint optimization problem;
一种求解不等式约束优化问题的新算法
3.
The Study and Empirical Analysis of Neural Network Methods for Optimization Problems;
优化问题神经网络方法研究及实证分析
6)  optimization [英][,ɔptimai'zeiʃən]  [美][,ɑptɪmaɪ'zeʃən]
优化问题
1.
In this paper, a new generalized gradient projection method with inexact line search is proposed for the nonlinear optimization problem with linear constraints.
本文对线性约束优化问题提出了一个新的广义梯度投影法,该算法采用了非精确线性搜索,并在每次迭代运算中结合了广义投影矩阵和变尺度方法的思想确定其搜索方向。
2.
For analysing and studing the characteristic and optimized mechanism of transient chaotic neural network,based on analysis of transient chaotic neuron model,through programming the simulation analysis in the Matlab software to compare the neural network dynamic characteristic and various parameters regarding the network optimization process influence.
暂态混沌神经网络模型利用混沌所固有的随机性和轨道遍历性,在大范围内按其自身规律进行搜索,搜索过程按混沌轨道遍历,不受目标函数限制,从而具有克服陷入局部极小的能力可有效地解决一系列组合优化问题。
补充资料:8-ketotricyclo(5.2.1.0(sup 2,6))decane
CAS:13380-94-4
分子式:C10H14O
分子质量:150.22
中文名称:八氢-4,7-亚甲基-5H-茚-5-酮
英文名称:octahydro-4,7-Methano-5H-inden-5-one
tetrahydro-7-methanoindan-5(4h)-one
octahydro-7-methano-5h-inden-5-one
8-ketotricyclo(5.2.1.0(sup 2,6))decane
8-oxotricyclo(5.2.1.0(sup 2,6))decane
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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