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linear optimization相关的网络例句

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

In this thesis, we mainly study the theory of vector optimization in three aspects: the spectral scalarization of Euclidean Jordan algebra vector optimization, the robust methods for solving uncertain multiobjective linear optimization problem and the application in game theory.

本文共分四章,主要致力于向量优化三个方面的研究:欧几里德若当代数向量优化的谱标量化、不确定多目标线性优化问题的鲁棒方法和向量优化在对策论中的应用。

The robustness of this model is discussed by using the S-system model. And the influences of cell growth rate on the biosynthesis of tryptophan, stability and dynamic behavior of the trp operon are investigated. A steady-state optimization model is established. It maximizes the accumulative term accounting for both consumption and secretion. The nonlinear optimization problem is approximately transformed to a linear optimization problem.

本文对表达阻遏蛋白的基因和表达合成色氨酸关键酶的基因之间相互作用进行了研究,通过模型考察了比生长速率对色氨酸生物合成和系统稳定性的影响,对色氨酸合成过程所涉及到的mRNA、酶等的动态行为进行了理论预测和分析,通过S-系统方程将非线性系统转化为线性系统,研究了系统的鲁棒性,并对色氨酸生产进行了优化。

At first this thesis researches the multi-layer tactic of the recurrent optimization of the nonlinear predictive control which converts the optimization with nonlinear dynamic restriction into the optimization with linear dynamic restriction and the repetitive coordination.

在这里引入了大系统理论中的分级递阶思想,将一个一揽子求解的带有动态非线性约束的优化问题转化为由线性约束的优化和迭代协调两个层次组成的分级递阶问题。

The content of this course includes cost benefit analysis method, the basis of optimization theory, one dimension optimization,nonrestraint multi-dimension optimization theory, linear programming, nonlinear programming, dynamic programming, Monte Carlo Method.

课程内容包括工程系统决策分析内容和步骤,费用—效益分析方法及其应用,最优化方法基础,一维搜索方法,无约束的多维搜索方法,非线性规划算法及其应用,线性规划算法及其应用,动态规划及其应用,蒙特卡洛方法及其应用等。

The main research content is: Using the experimental of cutting force and roughness of high speed face milling cutter and high speed end milling cutter mill aluminium alloy and cast iron, analyze the rules of the high speed milling velocity, feed rate per tooth, milling depth and milling width to high speed processing. Use multiple linear regression method, set up surface roughness and the cutting force fluctuation models. Certify the regression model notability, and provide a reliable guarantee for the accuracy of function optimization. Based on the targets of productivity, manufacturing cost, surface roughness, cutting force fluctuation optimization model, according to research of the high speed milling parameters selecting restrict of work piece, machine, tool and safety, set up high speed milling parameters multi-object optimization system.

本文以已有的高速铣削机理及高速刀具技术研究成果为基础,结合高速铣削试验,进行了基于遗传算法的高速铣削参数优化研究与系统开发,主要的研究内容为:通过高速面铣刀和高速立铣刀加工铝合金和铸铁等材料的切削力和表面粗糙度试验,进行了铣削速度、每齿进给量、铣削深度和铣削宽度对高速铣削加工过程影响的研究;采用多元线形回归的方法,建立了切削力及其振幅和表面粗糙度模型,并对模型的显著性进行验证,为高速铣削参数优化模型的建立奠定了基础。

This thesis studies a widely used first order optimzation algorithm--Sequential Linear Programming method, SLP is modify so that it can solve structural and shape optimization problems more efficiently, including continuous and dsicrete variables problems. Finally the zeroth order optimization method is presented for two dimensional shape optimization problems.

本研究将从一般广为设计者所采用的一次最佳化方法--线性序列规划法的修正研究,以使其更稳定且更有效率地解决在一般结构与形态最佳化问题,包含有连续式及非连续式设计变数的最佳化问题演算过程,最后应用零次最佳化方法概念在二维形态最佳化设计上。

Moreover, if the optimization problem has certain special feature, the simpler relaxation methods can be provided. For example, considering a generalized geometric programming problem, relevant relaxation linear programming can be obtained using its special structure. Based on the branch and bound method, a linear relaxation algorithm of global optimization is presented for generalized geometric programming, and the convergence of the algorithm is also proven.

此外,当优化问题具有某种特殊性质时,我们能给出更加简便的松弛化方法,如考虑广义几何规划问题,能充分利用其特殊结构,建立了广义几何规划问题的松弛线性规划问题;在分枝定界技术的基础上,提出了一个求广义几何规划全局解的线性松弛算法;证明了算法的收敛性。

In chapter 2 we propose a linear equality constraint optimization question , the new algorithm is combined with the new conjugate gradient method(HS-DY conjugate gradient method)and Rosen"s gradient projection method , and has proven it"s convergence under the Wolfe line search.In chapter 3 we have combined a descent algorithm of constraint question with Rosen"s gradient projection, and proposed a linear equality constraint optimization question"s new algorithm, and proposed a combining algorithm about this algorithm, then we have proven their convergence under the Wolfe line search, and has performed the numerical experimentation.

在第三章中我们将无约束问题的一类下降算法与Rosen投影梯度法相结合,将其推广到线性等式约束最优化问题,提出了线性等式约束最优化问题的一类投影下降算法,并提出了基于这类算法的混合算法,在Wolfe线搜索下证明了这两类算法的收敛性,并通过数值试验验证了算法的有效性。

Introduce optimization modeling and solution techniques including linear, non-linear, integer, and network optimization, and heuristic methods

介绍最优化模型与求解的技巧(包含线性、非线性、整数、网络最优化与启发式算法

An optimization method is proposed to solved steady-state optimization problems by quadratic approximation of the object function and the Linear Matrix Inequalities Problem and Eigenvalue Problem of Linear Matrix Inequalities theory.

提出了将稳态优化问题的目标函数进行二次逼近及用可行性问题求解算法和特征值问题求解算法进行求解的优化方法。

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