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最优化

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Model extraction algorithm, which the neural network as a learning process, the stochastic optimization problem parallel algorithm.

模式提取算法,它把神经网络的学习过程看作,最优化问题的随机并行算法。

The work presented in this thesis aims at creating a systematic and stable method based on stochastic optimization strategy to tackle this problem.

本文旨在应用随机最优化原理,建立求解这一复杂问题的有效的系统工程方法。

Bayes sequential decision problems, stopping rule problems, optimality of sequential probability ratio test, Wald identity, asymptotic theory, and other topics.

序贯分析:贝叶斯序贯决策问题,停步法则问题,序贯概率比率检验的最优化,Wald等式,渐进理论,及其它。

The design method was transformed to the feasible problem of solving a strict linear matrix inequality.

同时给出了当干扰衰减度未知时的最小干扰衰减度的最优化解决方法。

Optimization; parametric quadratic convex programming; set-valued map; directional derivative; linear stability; solution-set map; parametric linear programming; error bound; subdifferential map; lower locally directionally Lipschitzian; upper locally di-rectionally Lipschitzian; locally directionally Lipschitzian; convex function; quasidiferential; kernelled quasidiferential; quasi-kernel; star-kernel; star-diferential; Penot diferential; subderivative; superderivative; epiderivative; set-valued optimization; set-valued analysis; subdifferential; optimization condition;ε-dual; scalization; generalized subconvexlike-cone;ε-Lagrange multiplier

基础科学,数学,运筹学最优化;集值映射;方向导数;线性稳定;最优解集映射;参数线性规划;参数凸二次规划;误差界;次微分映射;下局部方向Lipschitzian;上局部方向Lipschitzian;局部方向Lipschitzian;凸函数;拟微分;核拟微分;拟核;星核;星微分; Penot-微分;上导数;下导数; Epi-导数;集值优化;集值分析;集值映射的次微分;最优性条件;广义锥次类凸;ε-对偶;数乘;ε-Lagrange乘子

A well known problem in optimization theory asks for a relatively easy way of finding a spanning subgraph with a special property.

最优化理论中的一个有名的问题要求:用比较容易的方法来寻求具有某种特殊性质的生成子图。

Called suboptimization, this is a trade-off that increases the advantages to one unit or function but decreases the advantages to another unit or function.

所谓的局部最优化,这种权衡增加了对一个单位或一项职能的好处,却减少了对其它单位或职能的好处。

Called suboptimization, this is a trade-off that increases the advantages to one unit or function but decreases the advantages to another unit or function. For example, the marketing manager may argue effectively for an increased advertising budget.

被称为局部最优化的权衡加强了某一单位或某一功能的优势,却削弱了另一单位或另一功能的优势,例如,市场营销经理会极力要求增加广告预算。

Called suboptimization, this is a trade-off that increases the advantages to one unit or function but decreases the advantages to another unit or function. For example, the marketing manager may argue effective ly for an increased advertising budget.

被称为局部最优化的权衡加强了某一单位或某一功能的优势,却削弱了另一单位或另一功能的优势,例如,市场营销经理会极力要求增加广告预算。

Enterprise's economic efficiency and social efficiency superexcellence were guaranteed.

保证了企业的经济效益和社会效益最优化

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