If your program has the RECURSIVE attribute or is compiled with the THREAD compiler option, data that is defined in the LINKAGE SECTION is not accessible on subsequent invocations of the program.
如果程序包含RECUR SIVE属性，或使用THREAD编译器选项编译，那么后续的程序调用将无法访问LINKAGESECTION中定义的数据。
If the object's target attribute is recursive (group), it will be ignored (no recursion).
如果对象的目标属性为递归的(组)，则忽略该对象(无递归)。
The important thing is that this is a recursive definition: at some point the attribute will be mapped to zero or more columns.
重要的是，这是一个递归定义：有时属性将映射成零或者多列。
To make a recursive call, you must either code the recursive clause (or attribute) in the PROGRAM-ID paragraph of the recursively called program or specify the THREAD compiler option.
要执行递归调用，必须在以递归方式调用的程序的PROGRAM - ID段落中编写RECURsive子句(或属性)，或指定THREAD编译器选项。
If the object's target attribute is recursive (group), its content must be a set of dn values pointing to other LDAP objects that will be resolved and treated like 1.1 (recursion).
如果对象的目标属性为递归的(组)，则其内容必须是一组dn值，并指向像1.1一样进行解析和处理(递归)的其他LDAP对象。
This lookup is recursive: if the instance defined in prototype cannot find an attribute or function, it will look in its prototype, and so on.
这种查找是递归的：如果在prototype 内定义的实例不能找到属性或函数，它就会在其原型中查找，依此类推。
If the object's target attribute is recursive (group), its content must be a set of dn values pointing to other LDAP objects that will be resolved and treated as follows.
如果对象的目标属性为递归的(组)，则其内容必须是一组dn值，并指向将按如下方式进行解析和处理(递归)的其他LDAP对象。
recursive is an optional attribute that specifies whether the retrieved LDAP object will be processed recursive or not; for example, whether subgroups of a group will be processed or ignored.
recursive是一个可选属性，用于指定是否要递归地处理所检索的LDAP对象；例如，是要处理还是忽略某个组的子组。
recursive states that this attribute contains the dn values of objects that can be evaluated.
recursive 规定该属性包含可计算的对象的dn值。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
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