我需要确定某个数字是不是完全数。
为此，我选择了完全数。
我必须分解问题并回想“完全数”的含义。
I must decompose the problem and think about what "perfect number" means. I can easily come up with several steps required to discover a perfect number.
这就是要处理的问题域：创建一个完全数查找程序。
That's the problem domain to tackle: create a perfect-number finder.
这段代码报告我的完全数算法工作正常，但是它非常慢。
This code reports that my perfect-number algorithm works correctly, but it's very slow.
在开始研究完全数问题时，我把它分解为几个子任务。
When starting this exploration of the problem, I decomposed it into several subtasks.
该方法是完全数据驱动的，不需要姓名识别模板和规则。
我试图解决的问题是确保我的数字分类器不会将非完全数识别为完全数。
What problem am I trying to solve? I need to make sure that my number classifier doesn't identify an imperfect number as perfect.
完全数、相亲数以及孤立数一直是数论研究的一个重要课题。
Perfect number, amicable number and anti-sociable numbers are important topics in number theory.
更规则的完全数定义是因子(不包括该数字本身)之和等于该数字的数字。
A more algorithmic definition for a perfect number is a number where the sum of the factors (excluding the number itself) equals the number.
一个没有几分诗人才气的数学家永远不会成为一个完全数学家。
A mathematician who is not also something of a poet will never be a complete mathematician.
与完全数据库备份相比，差异数据库备份体积更小，速度也更快。
Differential database backups are smaller and faster than full database backups.
最后，完成了完全数查找程序的测试驱动版本；完整的类见清单9。
I'm done with the test-driven version of the perfect-number finder; the entire class is shown in Listing 9.
清单3断定1到100000之间的完全数为已知完全数列表中的数字。
Listing 3 asserts that the only Numbers from 1 to 100,000 that are perfect are the ones in the list of known perfect Numbers.
CTP技术是印前技术的又一次飞跃，使印前操作实现了完全数字化。
The CTP technology is a technical leap in preprinting. It digitalizes preprinting process entirely.
在SQLServer上暂时还无法实现跨多台服务器的完全数据分区。
Fully partitioning data across multiple servers isn't something that SQL server does out of the box.
粗糙集理论是一种新兴的处理不精确、不确定与不完全数据的数学理论。
Rough Set is a new mathematics theory that can deal with incertitude and incompletion data.
脱机备份要求采取完全数据库备份，显然，在备份的过程中，数据库是脱机的。
Offline backup requires that a full database backup be taken and, obviously, that the database be offline while the backup is in process.
人类在研究与寻找完全数时得到结论：偶完全数与梅森素数是一一对应关系。
When researching and looking for the perfect numbers, man found the conclusion about correspondence between the even perfect numbers and the Mersenne primes.
在下一期文章中，我将继续讨论完全数问题，演示在执行测试时形成的各种设计的更多示例。
In the next installment, I'll continue with the perfect Numbers problem, illustrating more examples of the kinds of design that can emerge if you get out of the way of your tests.
但是无论我们是否实现了户外的完全数字化，户外数字媒体还是有一些基本的准则。
There are however basic rules for digital OOH regardless of whether we ever reach complete digitization.
在第1部分中，我采用后测试开发方法(在编写代码之后编写测试)编写了完全数查找程序的一个版本。
In Part 1, I wrote a version of a perfect-number finder using test-after development (writing the test after writing the code).
对于不熟悉数学知识的人，此概念可追溯到Euclid之前(他完成了导出完全数的早期验证之一)。
For those of you not up on your math trivia, the concept goes back to before Euclid (who did one of the early proofs deriving perfect Numbers).
提出应用广义最大熵的方法对结构方程模型的参数进行估计，该方法能够处理有限的或者不完全数据。
IA new method based on generalized maximum entropy is applied in estimating parameters of structural equation model, which is meant for situations with limited or incomplete data.
记住，完全数据库恢复将要求整个恢复操作具有排它性，而表空间的联机恢复将只要求表空间处于排它模式中。
Remember, a full database restore will require exclusive use for the entire restore operation, whereas online restore of a table space will only require that tablespace to be in exclusive mode.
我们来回顾一下分类器的要求：对于任何大于1的正整数，必须将其归为以下几个类别：完全数、过剩数或亏数。
Recapping the classifier's requirements: Given any positive integer greater than 1, you must classify it as perfect, abundant, or deficient.
在Wikipedia上查找到前几个完全数之后，我可以编写一个测试，它检查实际上是否可以找到完全数。
After checking with Wikipedia to find the first few perfect Numbers, I can write a test that verifies that I can in fact find perfect Numbers.
首先，DB 2MergeBackup提供了一个自动备份工具，可以极大地减少完全数据备份所需的时间。
First, DB2 Merge backup provides an automated backup tool that can dramatically decrease the time required to complete full data backups.
用这种方法建立修正偏倚置信带是完全数据驱动，不包含任何附加调节参数，这种方法在实际应用中是十分有效的。
Using this way to set up bias-correction confidence belt is driven with data completely, and has not any additive regulating parameter, it is very effective in practical application.
用这种方法建立修正偏倚置信带是完全数据驱动，不包含任何附加调节参数，这种方法在实际应用中是十分有效的。
Using this way to set up bias-correction confidence belt is driven with data completely, and has not any additive regulating parameter, it is very effective in practical application.
应用推荐