最优化

Based on the frame of deterministic optimization method, the general statistical optimization method can be improved further by the model proposed in t...

在确定性最优化框架下，该模型为统计最优化和集成电路可制造性设计的进一步发展开辟了新途径。

For function optimize, according to the character of objective function definition, can dispart as scatter function optimization and sequence function optimization.

对于函数优化这个问题，根据目标函数定义域的性质，可以分为离散函数最优化和连续函数最优化。

This thesis builds optimal model which takes the four-cylinder double-acting Stirling engine model as objective function and takes actual conditions as constraints, and use quasi-Newton method and penalty function method to slove this problem.

论文以建立的模型为目标函数、以具体实际情况为约束条件建立了发动机参数最优化模型，应用拟牛顿法和惩罚函数法实现了对最优化模型的求解。

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

During the investigation, the optimization of infinitesimal information granularity is first solved to determine the low bound of the minimal power, and then the optimization of integer bit is solved, resulting in a fast integer bit-loading algorithm.

首先对无限小信息粒度的最优化问题进行分析，确定最小功率的下界。在此基础上再对整数比特的最优化问题进行求解，由此得到了一种快速的整数比特加载算法。

For special vector optimization problems, namely abstract optimization problems, a generalized multiplier rule of Lagrange is given.

对特殊的向量最优化问题，即抽象最优化问题，给出了一个一般的拉格朗日乘子法则。

This paper studies a completely generalized nonlinear quasi-variation-like inclusions problem in the setting of locally convex topological vector space s and proves the existence its solutions.

似变分不等式和广义拟似变分包含问题是研究非凸最优化问题、非凸和不可微最优化问题的重要工具。在局部凸的拓扑向量空间中研究了完全广义非线性拟似变分包含问题，并证明了其解的存在性

Optimization problem of one-dimensional search, which are widely used in engineering to solve practical design optimization problem.

详细说明：最优化问题的一维搜索，在工程当中应用广泛，解决实际操作设计中的最优化问题。

With this method, the operator can be of stability and accuracy.

偏移延拓算子通过求解线性最优化和非线性最优化问题来获得，因此保证了算子的稳定性和精度。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。