This course is oriented around computation and computation-related issues in developing and solving large-scale optimization models.
本课程定位是开发和解决大规模最佳化模型中的计算以及计算相关问题。
With the rapid development of computer science and urgent needs for practical problem in recent years, the large-scale optimization problem has drawn more and more attention.
近年来，随着计算机的飞速发展以及实际问题的需要，大规模优化问题越来越受到重视，很多实际问题都可以归结为最优化问题来解。
Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.
共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。
By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
通过工况的识别以及模型参数的离线辨识和在线优化，混合模型可以准确地模拟复杂过程在大范围内的动态特性。
The article analyzes the debt scale of an enterprise through studying the optimization of capital structure and the financial level degree of the enterprise.
其次，通过如何优化资本结构，同时结合财务杠杆率指标综合分析了企业的负债规模；
An optimization model of multiple subjects, which has a proper scale and reasonable structure, has been established.
并建立了一个规模适当，结构合理的多学科优化模型。
Power system unit commitment, a problem of nonlinear commitment optimization with typical large-scale hybrid integers, is difficult to get an optimal solution in theory.
电力系统机组组合问题是一个典型的大规模混合整数的非线性组合优化问题，很难得到理论上的最优解。
Optimization also involves techniques for solving large-scale, discrete, nonlinear, multiobjective, and global problems.
最优化也包括解决大规模，离散，非线性，多目标和全球化问题的技术。
From the optimization results, it can be seen that reasonable market competition scale is an effective measure decreasing the market price and then controlling the market power from source.
优化结果说明，合理的市场竞争规模是降低市场价格，平抑市场力的有效途径，实现了从源头上规制市场力的目的。
Some methods of optimization on pulsating heat pipe are by the designs of capillary wall microrelief, the scale design of existed vapor bubbles and the working fluid selection.
脉动热管的优化设计可以通过对壁面粗糙度的加工、形成的汽泡尺度的控制和工质的匹配选择等来实现。
Therefore, the evolutionary algorithms have been successfully applied to various fields, especially to some complex, large scale, nonlinear and non-differentiable optimization problems.
其独特的性能已在众多领域内获得了成功的应用，着重用于解决复杂的、大规模的、非线性、不可微的优化问题。
In this paper, local decoupling method is put forward to simplify the scale of optimization problem and to reduce its searching scope.
研究提出局部脱耦方法用以简化问题规模、缩小搜索空间，选择特征统计算法进行优化方案的搜索。
Mutative scale chaos optimization algorithm (MSCOA) is a modified chaos optimization algorithm (COA), which possesses the properties of randomness, ergodicity and regularity of chaos movement.
变尺度混沌优化（MSCOA）是一种改进的混沌优化方法（COA），利用混沌运动的内在随机性、遍历性和规律性进行全局寻优；
Aiming at the difficulties existing in large-scale water pollution monitoring systems, a connectionist model based local optimization algorithm and its application are discussed in this paper.
针对水域污染监测数据融合系统中存在的困难，讨论了基于“连接”模型的局部优化算法及其应用。
In this paper, we are aimed to improve the spinosyn-producing strain by genome shuffling, optimization of fermentation process and scale-up of fermentation processes in 2.
本论文运用基因组重排技术对多杀菌素产生菌进行选育，并优化了其发酵工艺，最后进行了2。
It is difficult to solve in large scale because the LRP is a typical NP-hard problem in combinatorial optimization.
由于定位-车辆路线问题是组合优化问题中一个典型的NP难题，大规模时难以精确求解。
Now we need to re-scale some models for the sake of optimization.
现在，为了优化，我们需要重新调整一些模型的大小。
The hot rolling lot planning in iron and steel enterprises is a large-scale combination optimization problem with many restrictions.
钢铁生产中热轧批量计划编制属于多约束情况下大规模组合优化问题。
A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.
给出了大规模界约束优化的一个子空间截断牛顿法。
The calculation results demonstrated that IGP could solve the problems of optimization synthesis for large-scale complex distillation system rapidly.
计算表明，本算法可以快速准确地求解大规模复杂精馏系统优化综合问题。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
提出了一种适合于大规模高维数据库的组合优化决策树算法。
This paper introduces a heuristic algorithm to solve a large-scale combinatorial optimization problem for transportation problem with constrained resources.
介绍了一种求解资源约束条件下的大规模组合优化运输问题的启发式方法。
Pr conjugate gradient method is one of the efficient methods for solving large scale unconstrained optimization problems, however, its global convergence has not been solved for a long time.
PR共轭梯度法是求解大型无约束优化问题的有效算法之一，但是算法的全局收敛性在理论上一直没有得到解决。
Data cube compressed storage is an important research content in large-scale database about data cube optimization calculation.
数据立方体的压缩存储是大型数据库中立方体优化计算的重要研究内容。
Distributed optimization algorithm is an efficient control strategy to reduce the on line computational complexity of model predictive control for large scale systems.
分布式求解策略是为了降低大规模预测控制系统在线实施的计算量和计算复杂性而提出的一种有效算法。
Distributed optimization algorithm is an efficient control strategy to reduce the on line computational complexity of model predictive control for large scale systems.
分布式求解策略是为了降低大规模预测控制系统在线实施的计算量和计算复杂性而提出的一种有效算法。
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