查询词典 linear optimization

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。

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。

After that, based on the CVaR optimization model with transaction costs, we simulate smoothly the piecewise linear function in objective function separately, and obtain the continuous smooth CVaR optimization model. As an application, we explain via an example when the smooth simulation model is applied in the big scale investment portfolio choice problems, its convergence and stability has the enhancement comparing with the above linear model.

其次，在带交易费用的CVaR最优化模型的基础上，将模型目标函数进行了平滑模拟，得到连续平滑的CVaR最优化模型，并经过实例说明，对于较大规模投资组合选择问题，经过平滑模拟后的模型其解的收敛性和稳定性较之原模型的解都得到了提高。

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。

By taking optimization for culture media of diamondback moth as example,theoretical research of SVR model in media optimization was carried out.Based on initial composition,Secondary Leave-one-out was carried out after kernel optimization and descriptors screening,the precision is higher than linear regression model,it is showed that SVR is proper for media optimization.

本文首先以文献报道的小菜蛾饲料配方优化数据为例，建立基于SVR优化配方、分析因子效应的方法学：从原始配方样本集出发，以SVR进行核函数寻优和自变量筛选后实施双重留一法预测，预测精度优于多元线性回归模型，表明非线性的SVR更适合用于优化配方。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。