- 更多网络例句与极小化方法相关的网络例句 [注:此内容来源于网络,仅供参考]
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In this paper, the Hestenes-Powell augmented Lagrangian function is again considered, for solving equality constrained problems via unconstrained minimization techniques.
本文对用无约束极小化方法求解等式约束非线性规划问题的Hestenes-Powell增广拉格朗日函数作了进一步研究。
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Using level-set method, mathematical representation for contimuum structures is proposed by means of the vector of level-set, and the general structure topology optimization can be expressed by a constrained functional minimization problem of a set of level set functions.
其次利用水平集方法将一般拓扑优化问题描述为一组水平集函数的约束泛函极小化问题,应用敏度分析,给出了此泛函极小化数值迭代求解公式,即水平集演化方程。
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First, we extend the general finite element method from the function surface to the parameter function. Second, we bring this kind of method into the design of rational Bézier minimal surface. Third, we transform the problem of Dirichlet energy function into the problem of minimizing a discrete objective function.
首先推广了函数曲面中的有限元方法,进而研究如何针对参数曲面使用有限元方法,并把该方法引入到有理Bézier极小曲面造型的设计中,从而将连续的Dirichlet能量函数极小化问题,转化为一个离散形式的目标函数的极小化问题。
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This paper presented a fuzzy method of minimizing portfolio combination investment's risk.
本文利用模糊理论,提出一种多元组合证券投资风险的模糊极小化方法。
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The abstract result contains several concrete results in the literature and can also be used to deal with some new cases for resonant differential equations.In the introduction, we briefly introduce the development process of the variational methods. In Chapter 2, we list some basic knowledges refering to the variational methods, including the Sobobev space,—△ operator, the weak solution and the minimizing sequence methods and some minimax theorems. In Chapter 3, we introduce the research process of Hamiltonian system of second order and the semilinear elliptic problems, using the methods introduced previously. In Chapter 4, we prove the main theorem of the thesis, and apply it to the problems in the previous Chapter, and can also be applied to some new resonant cases.
在前言中,简要介绍了变分法的产生、发展过程,在第二章中我们介绍了有关变分法的一些基本知识,包括Sobolev空间,—△算子,弱解,极小化序列方法和一些极小极大定理,在第三章中我们介绍了非线性项有界或满足次线性条件,以及它满足推广的Ahmad-Lazer-Paul条件时,二阶Hamiltonian系统和半线性椭圆问题的研究历程,最后在第四章中我们证明了本论文的主要定理,并把它应用到第三章的问题中,使得前面的几种共振的情形都可以统一到这个抽象的结果中。
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We construct a kind of special matrix function, which is used to characterize the minimization property of this iterative method, and prove that the approximate solution, generated by this iterative method, minimizes this kind of matrix function over a special affine subspace, which means that the Frobenius norm of the residual sequence is strictly monotone decreasing.
通过构造一类特殊的矩阵函数来刻画该迭代方法的极小化性质,并证明了由该迭代方法计算出来的逼近解,可使得这类矩阵函数在一个仿射子空间上达到极小,而且所得到的残差序列的Frobenius范数是严格单调递减的。
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Space curve is one of the basic elements in geometric modeling, and its effective representation is the basis of modeling. Parametric representation based on features is a kind of high-level representation including semantic information. In Chapter 4, para- metric representations based on features for free form space curve are investigated, and a parametric model for the loop of plain knitted fabric is established, in which 5 parameters with practical meanings are used to represent the shape of a loop and the relationship between loops. A new shrinkage prediction method for knitted fabric are proposed based on the parametric representation and energy minimizing. Experimental results on some plain knitted fabrics illustrate the feasibility of the proposed method.
空间曲线是造型中最基本的几何元素之一,对其有效的表示是造型的基础,而特征参数化表示是其中一种包含语义信息的高层次表示,本文对空间自由曲线的特征参数化表示进行研究,建立了一种针织物线圈的特征参数化几何模型,采用5个具有实际意义的参数表示织物线圈的几何形状及线圈之间的位置关系,并将该模型与能量极小化的方法相结合,得到了一种能较好地预测针织物缩水率的新模型,对随机选取的一些针织布缩水预测实验表明了算法的可行性。
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The generalized criterion for minimum zone in the determination of form error of surface is presented on the basis of linear minimax techniques, and the criteria of such surfaces as for cylindricity and straightness with arbitrary direction are derived from this generalized criterion.
本文讨论形状误差最小区城的判别准则和判别方法。根据线性极差极小化问题解的特征,给出形状误差最小条件的统一判别准则。推导出各种形状误差最小区域判别法(包括圆柱度误差和任意方向直线度误差),并在几何判别的基础上得出代数判别的格式。
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So it is necessary to optimize the luffing mechanism seriously.Sequential Unconstrained Minimization Technique is an indirect optimization method.
惩罚函数算法,即序列无约束极小化方法。
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The thesis consists of three parts:The first part deals with optimal Sobolev inequalities on compact Riemannian manifolds;the second part is concerned with some variational models in image processing,and we propose variational models as well as experimental results for detection,denoising and mosaicking;the last part deals with inverse differential geometry in 3-D non-local image restoration.
本论文由三个部分组成。第一部分是流形上的非线性分析:第二部分是基于能量极小化方法的图像处理;第三部分是三维非局部图像重建及逆向微分几何。在第一部分中,我们研究了紧致流形上的最优Sobolev不等式,证明了某些不等式虽然就整体而言是不成立的,但总是局部成立的。