荷兰国旗问题是一个著名的算法问题。
研究了航空发动机在线优化算法问题。
Aeroengine online optimization methods are studied in this article.
从而解决了求有向回路基集的有效算法问题。
Thus, the problem of efficiently finding the basic set of directed circuits in a digraph is solved.
夹具设计涉及到数值计算，图形绘制等一些算法问题。
Many algorithm are related to the design of the clamping fixture, such as numerical calculation and drawing practice etc.
我们考虑了这类变分不等式解的存在性及迭代逼近算法问题。
There are many iterative algorithms for the solution of variational inequality and fixed point of mappings.
论文建立此类问题的网络优化模型，并研究其基本性质及算法问题。
In this paper we establish a network optimization model for this practical problem, and study its basic properties and algorithmic aspects.
在一种新的准则概率阈值准则下讨论马尔可夫决策的最优解的算法问题。
The arithmetic problem of Markov optimum solution under a new principle named probability threshold value principle is discussed.
剩余有限性是半群中比较重要的有限性条件之一，它和算法问题紧密相关。
Residual finiteness is one of the more important finiteness conditions. It has tight correlation with algorithmic problem.
本文研究因子对策方法以及具有局支付的图上对策中绝对均衡的存在性及算法问题。
In this paper, we research the factor method of the game and existence of absolute equilibrium as well as the algorithm of the graph-game with play-payoff.
利用假币辨识向量集，引入搜索矩阵，给出一种逐列相加合并的算法，解决了单假币辨识的完全非适应算法问题。
Utilizing certain sets ofm-dimensional vectors and introducing search Matrix, this paper designs an arithmetic that adds and merges row by row at search Matrices.
本文针对参数化总体设计，提出了基于离散算法的物性快速求解算法，解决了参数化设计中常见的几何特征值快速算法问题。
Based on discrete algorithm, rapid algorithms for geometric mass property calculation are presented in this paper, which are very useful in products' parametric preliminary configuration design.
着重讨论了基于自带存储器的多处理机系统的并行预处理算法问题，并由此提出了两种PPCG法：PPCG1和PPCG2法。
Parallel preconditioning algorithm based on multiprocessor systems with local memory is stressed, so that two kinds of PPCG. PPCG1 and PPCG2 are proposed.
出于对数据的这些特性，在这次报告中，在分析大量的网络数据后，我将集中在三个重要的算法问题，即可扩展性、鲁棒性和综合性。
Motivated by these properties of the data, in this talk, I will focus on three important algorithmic issues in analyzing large network data, i. e. , scalability, robustness and integrativeness.
人类特性还包括如何思考，如何处理问题，以及如何分解问题；而这需要大量的算法设计。
Human qualities also involve how you think, how you approach problems, and how you break them down; and that takes a lot of algorithmic design.
不幸的是，谈到性能问题，一个更好的算法通常才是最好的解决方案。
Unfortunately, when it comes to issues of performance, often a better algorithm is the best solution.
我们将使用在并行算法一节中介绍的算法来很好地解决这个问题。
We'll use the algorithm described in the section on parallel algorithms to solve this problem elegantly.
如果量子超级计算机开发成功，那么对于解决某些问题，遗传算法将迅速成为不仅可行而且更优越的方法。
If quantum supercomputers are ever developed, genetic algorithms will suddenly become not only feasible, but preferable as an approach to solving certain problems.
所有垃圾收集算法所面临的问题是相同的 ――找出由分配器分配的，但是用户程序不可到达的内存块。
The problem faced by all garbage collection algorithms is the same -- identify blocks of memory that have been dispensed by the allocator, but are unreachable by the user program.
通常都有多种不同的算法能够解决一个特定的问题。
There are often many different algorithms to solve a particular problem.
计算机的算法甚至无法检测到会有问题，更不用说去解决它。
A computer algorithm would not even be able to detect that there is a problem, let alone fix it.
静态平均读写算法解决了一个更有趣的问题。
Static wear-leveling algorithms address an even more interesting problem.
对OOP特性的了解还让PHP编码者得以利用设计模式—一些众所周知的用来解决常见问题的算法。
Access to OOP features also allows PHP coders to leverage design patterns - well-known algorithms used to solve commonly occurring problems.
不过我猜他们确实是有撰写原创性内容，因此用算法很难检测出问题。
But I guess it is true that they do write original content, which for an algorithm to detect, is trickier.
很难知道金融界是否也正在发生着同样的事，因为对冲基金公司老是在某种预测算法是否成功的问题上婆婆妈妈。
It is hard to know whether that is happening in finance, since hedge funds tend to keep mum about how successful (or not) particular forecasting algorithms are.
也就是说当问题规模变大的时候，算法计算的时间会怎样增长？
提修斯的策略表现了一种逃离迷宫的算法，但并不是他可以用来解决问题的唯一算法。
Theseus's strategy represents an algorithm for escaping from a maze, but it is not the only algorithm he could have used to solve this problem.
当然，与这个算法解决的问题相比，它导致的新问题可能更多。
Of course, this algorithm probably raises more questions than it answers.
当然，与这个算法解决的问题相比，它导致的新问题可能更多。
Of course, this algorithm probably raises more questions than it answers.
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