创建好的软件并不是一个效率优化问题。
Creating great software isn't an efficiency optimization problem.
线性编程是一个用来解决优化问题的工具。
Linear programming is a tool for solving optimization problems.
现在我们来谈谈关于二级缓存的查询优化问题。
Now let us discuss the issue with the query optimization for the objects which are configured for second level cache.
这种最优化问题和其他最优化问题的解可能不止一个。
This and the other optimization problems you'll look at might have more than one solution.
智能组卷是一个多约束目标的组合优化问题。
Automatic Test Paper is a combination of multi-objective constrained optimization problem.
许多优化问题都需要确定有关图推理的高效方法。
Many optimization problems involve determining efficient methods for reasoning about graphs.
卫星总体参数优化是一个典型的多学科优化问题。
Parameter optimization of satellite system is a typical problem of MDO (Multidisciplinary Design optimization).
许多实际工程问题可以抽象为相应的函数优化问题。
Many practical engineering problems can be abstracted to corresponding function optimization problems.
单元制造系统的集成设计问题是一个组合优化问题。
The integrated design of cellular manufacturing system (CMS) is a combinatorial optimization problem.
介绍了盘式制动器混合多目标优化问题数字模型的建立。
The establishment of mathematical model of multi-objective optimum design for disc brake is presented.
进一步讨论了驱动程序的内存拷贝优化问题和零拷贝技术。
The problems of optimizing the memory copy for device driver program and zero copy technique are discussed.
一旦电脑具备了语义功能，它们就有能力解决复杂的语义最优化问题。
Once computers are equipped with semantics, they will be capable of solving complex semantical optimization problems.
本论文主要是研究参数的不确定系统的优化问题及一些应用。
The system optimization problems with parameter uncertainty and some applications are studied in the dissertation.
由于工程最优化问题的复杂性，传统的最优化方法一般很难求解。
Because of the complexity of the project optimization problem, the traditional optimization method can hardly be used to solve.
配电网重构是一个多目标、 多约束、离散的非线性组合优化问题。
Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.
如果正确理解了应用程序的内存要求，则固定堆大小便是一个简单的性能优化问题。
Fixing the heap size is an easy performance optimization if the memory requirements of the application are well understood.
我在讲述过程中尝试将那些元素指出来，但是在这里将不讨论性能优化问题。
I try to point those elements out along the way, but I won't talk about performance tuning here.
该文针对主题图面积的优化问题，提出了“多级逻辑面积优化”设计方法。
This paper presents a new method named "multilevel logic optimization for area" which aims at the area of the subject-graph.
下次面临难处理的性能优化问题时要记住它——它可能就是避免大的重新设计的关键所在。
Keep it in mind the next time you're facing an intractable performance optimization problem — it may just be the magic bullet that can save you a major redesign.
本文针对数据聚类分析和最优化问题的相似点，用模拟退火算法进行聚类分析。
In view of the similarities between data clustering analysis and optimization questions, this paper deals with data clustering analysis by using simulation anneal algorithms.
模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。
SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.
并提出分别采用共轭梯度法、二元自适应收缩法以及梯度下降法对以上优化问题求解。
And the three optimization problems are solved respectively by the conjugate gradient method, the adaptive bivariate shrinking and the gradient descent method.
但是动态编程通常被用于最优化问题(比如本文后面的示例)，而不是像斐波纳契数这样的问题。
But dynamic programming is usually applied to optimization problems like the rest of this article's examples, rather than to problems like the Fibonacci problem.
配电网网架规划是一个复杂的组合优化问题，传统的优化方法往往难以解决此类问题。
Distribution Network Structure planning is a complex combinatorial optimization problem, which is difficult to solve properly by using traditional optimization methods.
分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
阐述最优化问题。在对设计空间进行一些初始抽样后，选择并应用一种合适的最优化技术。
Formulate the optimization problem. Select and apply an appropriate optimization technique after some initial sampling of the design space.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
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