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problem solving相关的网络例句

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The determination of parameters σ and p is converted into the definition of an inequal upper boundary from solving integer programming problem, which decreases the calculation of solving parameters so that the application of CF-PCG algorithm in pactice is more convenient.

分析了CF-PCG算法的效率随其参数的变化性质,将参数σ,p的确定,由求解整数规划子问题转化为确定一个不等的上界,从而减少求解参数的计算量,使CF-PCG算法的实现更加方便。

The deformation compatible equation based on the catenary cable element is derived in chapter 2, and corresponding program is made to solve the accurate distribution of the prestress for cable dome. During the solving, two-nodes bar elements and catenary elements are adopted for the struts and cables of structure respectively. As the cable dome is a kinematically indeterminate system, its solving process is also derived in detail and the equations, which are based on large distortion, are adopted to solve the problem.

第二章推导了基于悬链线解析解的索单元变形协调方程式,并编制了相应计算程序对索穹顶结构精确的预应力分布进行求解,结构分析时压杆采用两节点直线杆单元,索采用悬链线索单元;考虑到索穹顶结构属于动不定结构体系,文中还对动不定体系的求解过程进行了详细的推导,同时采用建立在大变形基础上的变形协调方程来求解结构体系的有限机构位移。

In a word, these results indicate that there were no any difference of spatiotemporal cortical activation patterns underlying the early stage of insight problem solving between Aha logogriphs and No-aha logogriphs. In the process of activating heuristic information and then hastening the onset of insight, LPFC/ACC played an important role, which may be associated with the breaking of mental set successfully and the forming of novel associations in insight. The "Aha" feeling mainly provoked the PCC brain region in the solving the logogriph at last.

综合实验6与实验7的结果,我们认为,在字谜解决的早期,&有顿悟&与&无顿悟&字谜所诱发的脑电并没有明显的差异,原型激活可能主要发生在字谜解决的1400 ms左右,字谜的成功解决在1400-2000 ms内导致了左侧额中回/扣带前回的更强激活,这可能与原型激活以后,被试利用启发信息,突破思维定势,形成新异联系的认知过程有关;随后在2000-2500 ms内,字谜的成功解决则诱发了强烈的情绪体验,导致了扣带后回的明显激活。

It is related to the variational inequality problem, bilinear programming, nonlinear equation. So there is actual meaning and theories value to study how to solve it.In recent years, many algorithms for solving the generalized linear complementarity problem are put forward. But they basically belong to the traditional iterative methods, and may not be efficient since the computing time required for a solution is greatly dependent on the dimension, structure of the problem and the complexity of the algorithm used. Different from the traditional algorithms, the neural network has many advantages on calculations and real-time applications for its inherent massive parallelism and electric circuit implementation.

近年来,人们对广义线性互补问题提出了许多算法,但这些方法基本上属于传统的迭代法,由于它们的计算时间极大地依赖于问题的规模、维数以及所使用的算法,因此很难满足实时并行的要求,与传统数值方法不同,由于内在的并行分布处理信息的特点及电路实现的潜能,神经网络有着许多计算上的优势和实时性的应用,自Hopfield提出著名的人工神经网络模型-Hopfield神经网络,并将其成功应用于优化问题后,用神经网络求解优化问题得到了相当深入的研究,并取得了许多重要的成果。

The general form of solution for the non symmetric matrix A is given, the expression of optimal approximation solution is presented, and an algorithm for solving the problem is described. The total least squares problem with symmetric and bisymmetry constraints is discussed respectively. A sufficient condition for existence of solution is derived by use of the theory of matrix Ricaati equation. The general form of solution is given if the problem has a solution, and the expression of optimal approximation solution is presented. Some numerical examples are given.

对矩阵A是非对称情形,给出了解的一般表达式,证明了最佳逼近问题解的存在唯一性,并给出了其解的表达式,描述了求解问题的算法;讨论了带对称和双对称约束的总体最小二乘问题,利用Ricaati矩阵方程的理论得到了解存在的一个充分条件,分别对对称矩阵和双对称矩阵两种情形,给出了解的一般表达式,证明了最佳逼近问题解的存在唯一性,给出了其解的表达式,提出了求解这些问题的算法,并给出了数值例子。

When solving the TNA problem based on fleet balance application, a flight pairing network model is build, by which the primary problem transferred to a directed path decomposition problem to minimize target function, and a simulated annealing algorithm is constructed.

在解决使飞机均衡使用的飞机排班问题时,本文利用航班节的网络模型将原问题转化为一个使目标函数最小的航班节编组问题,在此基础上构造了一个模拟退火算法。

The linear function applicable scope is broad, when the reservoir turnover water volume and the time, the student leaves the staircase mouth population and the time and the time and the motion communication speech spends the comparison and so on the relational question has the important application;The study linear function, may deepen in the life the linear question understanding and the understanding, is helpful in solves some simple function problem; The linear function some problem solving method has the universality in mathematics, the linear function related theory may use for to solve some other mathematics problem, For instance the dual linear equation group, a Yuan inequality, a Yuan quadratic equation most value question and some complex mathematics question, the light is studies the linear function the theory is insufficient, the key is can utilize actual the linear function goes is our final goal.

一次函数的适用范围广,在蓄水池的进出水量与时间、学生出楼梯口人数与时间与时间和移动通讯的话费比较等的关系问题时均有重要的应用;学习一次函数,可以加深生活中线性问题的认识与理解,有助于解决一些简单的函数问题;一次函数的一些解题方法在数学中具有普遍性,一次函数的有关理论可以用来解决一些其它的数学问题,比如二元一次方程组、一元一次不等式、一元二次方程的最值问题及一些复杂的数学问题,光是学习一次函数的理论是不够的,关键是能把一次函数运用到实际中去才是我们最终的目的。

In the last chap-ter,the natural integral equation and natural boundary element method forharmonic problem on exterior elliptic domain are introduced.Then,based onthis,the natural boundary reduction method for a kind of exterior problem ofanisotropic constant coefficients elliptic equation is discussed, the natural inte-gral equation and its solving method on circular boundary and elliptic bound-ary are obtained.These results can be directly applied in coupled methodand DDM for exterior boundary value problem.

最后,讨论了椭圆外区域调和问题的自然积分算子即D-N算子及自然边界元方法,并基于此研究了一类各向异性常系数椭圆型方程外问题的自然边界归化方法,首次得到其在圆周边界及椭圆边界上的自然积分方程及其求解方法,并将这些结果直接应用于外边值问题的耦合算法。

The basic idea was to discrete the structure and find the load function according to the energy criterion of buckling and the principle of random displacement method. As the critical load is the minimum of the load function, a problem of frame buckling can be transformed into an optimization problem. Therefore, the critical load can be found through solving the optimization problem.

先将结构离散为一个有限自由度系统;然后根据有限自由度系统平衡稳定性的能量准则和随机位移法的基本原理,建立符合能量准则的载荷函数,该函数不为零的最小值即为临界载荷,由此将稳定问题转化为无约束的多维优化问题;最后应用遗传算法求出相应于最优解的目标函数值。

The quasi-phsical method makes the original problem an optimization problem in mathematics. There is often the possibility of going to a local minimum of object function when solving the optimization problem mathematically.

所谓拟物就是主动地向自然界学习解决问题的方法,即寻找与原始数学问题等价的物理世界并观察这个世界中物质运动的生动形象,然后从中得出启发并逐步形式化为算法以求解问题。

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