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combinatorial manifold相关的网络例句

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与 combinatorial manifold 相关的网络例句 [注:此内容来源于网络,仅供参考]

We get some results about the scalar curvature of 2 and n(n≥3)dimensions Einstein manifold :ρ Maybe is constant and ρ is constant, the relation between Einstein Manifold and Riemannian Manifold with constant sectional curvature.

本文对其有关性质进行了讨论,得到了2维和n(n≥3)维爱因斯坦流形的数曲率的一些结果:ρ可能为常数和ρ为常数,以及爱因斯坦流形与常曲率黎曼流形之间的关系

Secondly, method of Taylor series is used to approximate the slow manifold and the O approximation of the slow manifold is given; slow dynamics such as saddle node bifurcation which has been proven to be the same as that for the full system is analyzed; at the same time, fast dynamics including bifurcation conditions and domain of attractor of the stable equilibrium are also analyzed; the attracting region which consists of the stable manifold of the unstable equilibrium and stable equilibrium is given; we found that when the inner flux decay increases, the domain of attractor is enlarged.

首先,给出了电力系统SMIB模型的时间尺度分解,得到标准的奇异摄动模型;其次,利用幂级数方法,给出了慢流形的O近似M〓,分析了在慢流形M〓上的慢动态,得到了慢子系统的鞍结分支值,并证明此分支值与原系统的鞍结分支值相同;分析了快子系统的平衡点和全局分支的存在条件,给出由不稳定平衡点的稳定流形与稳定平衡点形成的吸引域;并研究内部电压对稳定域的影响,发现稳定域随内部电压增加而扩大;最后给出整个系统的稳定平衡点的近似吸引域。

The simulation results of inlet air manifold show that the uniformity of the velocity at outlet of the manifold are improved by using the appropriate bell-mouthed inlet and clipper-built baffle, and inlet pressure needed of the manifold decrease.

对进气箱的模拟结果表明,采用扩压型进口加流线型挡块的方案可以提高出口速度的均匀性,同时降低了进气箱入口所需的气体压力。

Combinatorial computational geometry, which deals with collections of discrete objects or defined in discrete terms: points, lines, polygons, polytopes, etc., and algorithms of discrete/combinatorial character are used

组合计算几何。处理一系列离散的或用离散术语来定义的对象:点,线,多边形,多面体等等,并使用离散/组合特性的算法。

VSP becomes advanced and hot spots in the field of operations research and combinatorial optimization research, researches for VSP can promote actively the development of the theory and method of combinatorial optimization.

VSP是运筹学与组合优化领域的前沿与研究热点问题,对它的研究为组合优化理论与方法的发展有着积极的推动作用。

In this article,based on the twolevel algorithm of selforganization and by applying the method of combinatorial investment ,we set up GMDHtwolevel algorithm security combinatorial investment prospective proceeds model.

以自组织理论两水平算法为基础,采用组合投资方法,在证券投资GMDH两水平算法预测模型的基础上,建立了GMDH两水平算法的证券组合投资预期收益模

The maximum clique problem is a classical combinatorial optimization problem, and finds many important applications in different domains, this paper surveys the current progress on MCP. The Cross Entropy method for combinatorial optimization is proposed by Reuven Y.

最大团问题是一个经典的组合优化问题,在理论研究和实际应用方面都有重要的价值,本文对最大团问题的最新研究进展做了分析综述。

An optimization model for combinatorial double auction based on integer programming method is established and transformed into single-sided auction,which will benefit to solve combinatorial double auction with the method used for single-sided auction and to make the problem much more easier.

本文运用整数规划的方法建立了一个组合双向拍卖问题的一般化模型,并通过逐步转化,把组合双向拍卖简化为单边拍卖,有助于利用求解单边拍卖的方法来求解复杂的双向拍卖问题,使这一问题的研究得到了简化。

On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.

在此基础上,利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系,并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法);(2)以数学规划为基础,结合数量经济学和技术经济学,引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型,进而获得全气田及各采气厂的最优方案,并引入资金时间价值对五年规划模型进行改进;(3)以非线性规划问题的最优解及算法理论为基础,引入SUMT算法以及遗传算法对模型的求解进行研究,并在原有的遗传算法基础上,引入自适应调整方法对遗传算法进行改进;以算法的收敛性理论和计算复杂性理论为基础,逐一分析SUMT算法以及遗传算法的收敛性,并比较三种算法的优劣性。

Combinatorial chemistry is a type of synthetic strategy which systematically connects a set of"building blocks"such as amino acids, nucleotide and small organic molecules to yield a large array of diverse molecular entities described as a combinatorial library. It also refers to the process of screening the compounds with the expective activity from the library.

组合化学是将诸如氨基酸、核苷酸、有机小分子等构建单元按某种组合方式连接起来,合成出包含大量化合物的化学库,并从中筛选出具有某种物理、化学或药理活性化合物的一套合成策略和筛选方案。

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