最优化

基本解释 (translations)

optimization  ·  optimisation

与最优化相关的网络例句 [注：此内容来源于网络，仅供参考]

The mathematical model for formulation design and optimization of expanded ammonium nitrate rock explosive is also studied.

文中论述了含C、H、O、N元素的工业炸药配方设计数学模型的建构方法，研究了岩石膨化硝铵炸药配方设计及最优化的数学模型，给出了岩石膨化硝铵炸药配方设计及最优化数学模型的计算机计算结果。

It can be used for solving multi-objective problems with a concave ob-iective and cost function s and a convex feasible region, The program of the algorithm is writ-ten in ANSIC language and has been successfully run on IBM P/IAT-286 and 386 machines.

系统地讨论了非线性多目标最优化算法─—广义ZW法，它是Zionts－wallenius法的改进和推广，使得ZW方法能够有效地解决具有凹目标与价值函数，以及凸可行域的非线性多目标最优化问题。

The convex function develeped so many years that convex functionals are now a class of very universal functionals.The kinetic energy in the classical is the most natural convex function.Others like entropy and so on are convex functions.The economic core is closely connected with the convex function.The western economic core question is the optimized question.The optimized theory has something to do with the convex function and the concave function.

凸函数的发展经年已相当完善其应用非常广泛，在古典力学中的动能，就是最自然直接的凸函数，其他如熵……等均是，连经济学的核心都与之有极密切相关，西方经济学的核心问题是最优化问题，最优化理论又与凸函数与凹函数密切相关。

In keeping with the tradition of the last twenty-some years, the Readings in Optimization seminar will focus on an advanced topic of interest to a portion of the MIT optimization community: randomized methods for deterministic optimization.

与过去20多年的传统一致，最优化书报讨论课程的重点将放在麻省理工学院一部分最优化团体感兴趣的一个高级主题上：确定性最优化的随机方法。

The course is a comprehensive introduction to the theory, algorithms and applications of integer optimization and is organized in four parts: formulations and relaxations, algebra and geometry of integer optimization, algorithms for integer optimization, and extensions of integer optimization.

本课程对整数最优化的理论、算法和应用做了全面的介绍。课程分为四部分：公式和松弛、整数最优化的代数学和几何学、整数最优化的算法，以及整数最优化的拓展。

Based on the statistical learning theory and optimization theory, SVMs have been successfully applied to many fields such as pattern recognition, regression and etc.Training an SVM amounts to solving a convex quadratic programming problem.

它将机器学习问题转化为求解最优化问题，并应用最优化理论构造算法来解决问题，本文主要是从最优化理论和算法的角度对支持向量机中的最优化问题进行研究。

The first conclusion infers the sufficient condition with the aid of thealgebra Riccati equation solution and the semi-group theory nature which the systemmay optimize;Next discussed when the system operator characteristic vector forms theRiesz base,causes control function concrete mathematical expression which its systemmay optimize;Finally summarized the system to be possible to optimize the researchnewest conclusion and the research forecast.

第一个结论借助代数Riccati方程的解及半群理论性质推导出系统可最优化；其次讨论了系统算子的特征向量形成Riesz基时，使其系统可最优化的控制函数的具体数学表达式；最后总结了系统可最优化研究的最新结论和研究展望。

The topics covered in this course include: unconstrained optimization methods, constrained optimization methods, convex analysis, Lagrangian relaxation, nondifferentiable optimization, and applications in integer programming.

这门课程的主题包括：无约束最优化方法，约束最优化方法，凸分析，拉格朗日松弛法，不可微函数最优化，以及在整数规划上的应用。

Optimal model on I-type and II-type goal assembly line balancing problem is proposed in this paper; meanwhile, optimal model on U-line is proposed. In addition, models on multi-objective assembly line balancing problem and resources-constraints assembly line balancing problem are set up.

建立第Ⅰ类和第Ⅱ类单一型装配线平衡的最优化模型，同时研究了U型布局装配线平衡的最优化模型，多目标装配线平衡的目标规划模型以及带资源约束的装配线平衡的最优化模型。

For the posed robust fuzzy optimization model, we first derive its deterministically equivalent form(which is just a nonlinear optimization problem), and then analyze the property of the feasible set of it.

论文摘要：本文考虑了鲁棒最优化问题的不确定参数的模糊性质，从而导出了一种新的最优化问题，本文称之为鲁棒模糊最优化问题。

与最优化相关的网络解释 [注：此内容来源于网络，仅供参考]

linear optimization problem：线性最优化问题

linear optimization 线性最优化 | linear optimization problem 线性最优化问题 | linear order 线性有序类

linear optimization：线性最优化

本章着重介绍线性最优化(linear optimization)模型的基础知识. 该模型又被称为线性规划(linear programming)模型,是进行管理类问题分析的一个十分有用的数学工具. 在此,我们并不深入研究线性最优化模型中复杂的数学理论,

Optimal Meth：最优化方法

1467. 组织行为学 Organization Behavior | 1468. 最优化 Optimum Theory | 1469. 最优化方法 Optimal Meth

Optimal Method：最优化方法

最优化 Optimum Theory | 最优化方法 Optimal Method | 最优化基础 Basis of Optimum

Optimal Method：最优化体例

1468. 最优化 Optimum Theory | 1469. 最优化体例 Optimal Method | 1470. 最优化基本 Basis of Optimum

optimization of scheduling：工序的最优化

optimization 最优化 | optimization of scheduling 工序的最优化 | optimization problem 最优化问题

optimization problem：最优化问题

本章及后续章节中的许多例子都是最优化问题(optimization problem),每个最优化问题都包含一组限制条件(constraint)和一个优化函数(optimization function),符合限制条件的问题求解方案称为可行解( feasible solution),

unconstrained optimization problem：约束最优化问题

无约束最优化:Unconstrained Optimization Problem | 约束最优化问题:Unconstrained Optimization Problem | 词人之词:Ci-poetey written by ci-poem

unconstrained optimization problem：无约束最优化

无约束最优化:Unconstrained optimization | 无约束最优化:Unconstrained Optimization Problem | 约束最优化问题:Unconstrained Optimization Problem

unconstrained optimization：无约束最优化

无约束最优化:large scale unconstrained optimization | 无约束最优化:Unconstrained optimization | 无约束最优化:Unconstrained Optimization Problem