We had these great algorithms.
我们有这么好的算法。
这些运算法则非常复杂。
Drive cache capacity and algorithms.
驱动缓存容量和算法。
I now want to get back to algorithms.
让我们回到算法上来。
Genetic algorithms applied with perl.
Perl用于实现遗传算法。
Classic algorithms for expression evaluation.
表达式求值的经典算法。
The idea of evolutionary algorithms is not new.
“进化式运算法则”并不是新的构想。
Better Photo Search Through Smarter algorithms.
通过智能算法改进图片搜索。
Any — Any of the above three algorithms can be used.
ANY———可以使用上述三种算法中的任何一种。
Has powerful, accurate, and efficient search algorithms.
拥有强大、准确、有效的搜索算法。
This still requires algorithms, but of a different type.
这种技术也依赖于数学算法，但是另一种不同的算法。
The main drawback of Perl for genetic algorithms is speed.
Perl用于实现遗传算法的主要缺点在于速度慢。
Google had secret algorithms that gave superior search results.
Google拥有能给出匹配度超越他人的搜索结果的神秘算法。
We are using all this human contribution through our algorithms.
我们的算法中就用到了所有这些大家的贡献。
There is a fairly wide variety of load balancing algorithms available.
负载平衡算法多种多样。
There are many different algorithms for creating these message digests.
创建消息摘要有很多不同的算法。
There are often many different algorithms to solve a particular problem.
通常都有多种不同的算法能够解决一个特定的问题。
Often these algorithms are embedded in hardware for even faster performance.
这些算法一般内置在硬件中以更快地执行。
Fortunately, there are other quantum algorithms that promise bigger payoffs.
幸运的是，另外还有一些量子算法让人希望会有更大的收益。
Different vendors are free to provide implementations of specific algorithms.
不同的供应商可以自由地提供特定算法的实现。
This section presents the performance results for three different algorithms.
本节将给出3种不同算法的性能结果。
It has been written with new algorithms and introduces a new mapping language.
它是使用新的算法编写的并引入了新的映射语言。
Think of the time such a program might save us for testing complex algorithms!
想想看这个程序会在我们测试复杂的算法时给我们提供多大的帮助！
In this article, I cover more advanced material on genetic algorithms in Perl.
在本文中，我将介绍有关Perl遗传算法更高级的内容。
With six algorithms to choose from, you're probably wondering which one to use.
有六种算法可以选择，您可能不知道要使用哪一种。
These commands run algorithms on the data or query for information about the data.
这些命令对数据运行算法，或查询有关该数据的信息。
Computationally expensive code, such as numerical analysis, algorithms, and so on.
计算上开销很高的代码，如数值分析、算法，等等。
Genetic algorithms may let us create things too complex to design in the ordinary sense.
基因算法能让我们创造出因为太复杂而在通常条件下设计不出的东西。
This section describes the actual data structures and algorithms in a little more detail.
本节较为详细地描述了实际的数据结构和算法。
This section describes the actual data structures and algorithms in a little more detail.
本节较为详细地描述了实际的数据结构和算法。
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