This l-reducedlattice reduction algorithm can find vectors shorter than ones got by the standard LLL algorithm which is widely used in this field.
利用这种新型算法找到的短向量比使用标准LLL规约算法求得的短向量更加接近格中的最短非零向量。
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The model created a series of subsystems from the known decision system at different reduced levels to form a reducedlattice, and then reasoned its own rule set at each node.