And we want to help you learn how to map a problem into a class of algorithms of some efficiency That's our goal.
学会如何将一个问题，映射到一类，提升效率的算法中去，这就是我们的目标。
And I'll remind you, we saw a set of algorithms and part of my goal was to get you to begin to recognize characteristics of algorithms that map into a particular class.
我要提醒你们的是，我们看了很多算法，我的目标之一是让你们开始，意识到算法们的特性，并且能够一一映射到特定的分类中。
It's a very common class of algorithms, and it's very useful one to have.
这是非常常见的一类的算法，并且也非常的实用。
GRDDL also allows the use of profile documents, which in turn reference the appropriate transformation algorithms for a particular class of Web pages and data vocabularies.
GRDDL还允许使用配置文件文档，而这些文档又为特定类别的网页和数据词汇引用适当的转换算法。
Genetic algorithms are a particular class of evolutionary algorithms.
遗传算法是一类特殊的进化算法。
The channel assignment problem belongs to the class of NP complete optimization problems, so we propose a new fixed channel assignment approach based on genetic algorithms.
信道分配问题属于组合优化中的NP完备问题，为此在遗传算法的基础上提出了一种新的固定信道分配方法。
The theory of finite automata is the mathematical theory of a simple class of algorithms that are important in computer science.
有限自动机理论是一类简单类算法的数学理论，这些算法理论这些数学虽然简单但对计算机科学很重要。
Probabilistic modeling evolutionary algorithms (PMEAs) that incorporate building models into evolutionary algorithms have become a new class of evolutionary algorithms.
概率分析进化算法是将构造性模型引入进化算法进行研究而形成的一类新型进化算法。
What is the class of algorithm that's - that probably applies to this, and how do I pull something out of that, if you like, a briefcase of possible algorithms to solve?
以及哪种算法-，可能可以应用到这类问题上，问题本身又能提取出什么东西来，以及可能解决问题的一系列方法的简介？
Optimization algorithms are provided for a class of closed queueing networks with a general performance cost that depends on both the state of the network systems and the service rate of each server.
讨论了一类闭排队网络的优化算法。该闭排队网络具有一般的性能指标函数，它既依赖于网络系统的状态，又依赖于每个服务者的服务率。
Noting that the inputs and outputs of the Fuzzy Controller are non- fuzzy, this paper presents a new and simple class of reasoning and decision algorithms.
本文针对模糊控制器输入输出是确定量的特点，提出一类新的简单的推理决策算法。
In this paper, an algorithm model for a class of adaptive relaxation algorithms is presented.
对于一类自适应松弛算法，本文提出了一个算法模型。
Based on genetic algorithms (GA) a sliding mode variable structure control method, for a class of nonlinear uncertain systems is proposed.
针对不确定性的非线性控制系统，提出了一种基于遗传算法的滑模变结构控制方法。
Incorporating spatial information into BSS algorithms, a class of time-spatial algorithms is derived, which restrict the search range in spatial and improved the convergence rate.
将空域信息引入时域的盲源分离算法，提出了一类水声基阵盲源分离的时空域算法，限定了算法的空域搜索范围，加快了算法的收敛速度。
This paper presents a class adaptive pole assignment control of servo systems based on neural state estimation and develops the system structure and the weight learning algorithms.
提出了一类基于神经元状态估计器的自适应广义极点配置控制，研究了该控制系统的网络结构和权值学习方法。
The realization of mapping a class of nested loop algorithms to linear systolic array is studied.
研究了一类多重循环算法的线性脉动阵列实现。
In this paper, minimum variance filtering and smoothing algorithms of a class of non-causal systems are discussed.
研究一类非因果系统的最小方差滤波与平滑。
In this paper, a class of parallel algorithms for the problems in differential algebraic equations are proposed. The errors of the algorithms are estimated.
本文提出求解微分代数方程的一类并行算法，进行误差估计。
A new iterative algorithms to approximate the solution of the class of nonlinear implicit quasi variational inclusions in Banach space is constructed using resolvent operator.
利用预解式算子技巧构造了一类求变分包含逼近解的迭代算法，并讨论了由此算法产生的迭代序列的收敛性。
Inspired by the idea of the algorithms above, we discussed a class of equilibrium problems in the second part of this article.
借助上述迭代算法的基本思想，本文在第二部分讨论了一类均衡问题。
Model predictive control (MPC) refer to a class of control algorithms that optimize the current input by predicting the future behavior of system based on system dynamic model.
模型预测控制(MPC)是一种根据系统动态模型和历史信息，通过对系统未来行为的预测来优化当前输入的控制策略。
Finally, numerical experiments are made and the results show that the proposed algorithms in this paper for a class of linear fractional programming problem are very effective.
最后，通过数值实验表明，本文提出的算法对该类线性分式双层规划问题比较有效。
Finally, numerical experiments are made and the results show that the proposed algorithms in this paper for a class of linear fractional programming problem are very effective.
最后，通过数值实验表明，本文提出的算法对该类线性分式双层规划问题比较有效。
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