sequential algorithm

BWFSF algorithm partition synchronous sequential circuit to many big function blocks by backwardsearch with fli.

面向逻辑级描述的同步时序电路,以触发器为核的电路划分算法BWFSF将电路划分为大功能块.

The algorithm computes a set of compatible sequential redundancies and simplifies the circuit by propagating them through the circuit.

算法将计算相容时序的冗余，并通过在电路中传播它们来简化电路。

The probabilistic load flow adopts non-sequential Monte-Carlo simulation algorithm.

概率潮流采用 非 序贯蒙特卡罗仿真算法.

The experimental results show the precise measurement with the improved sequential algorithm.

实验结果验证了改进序列算法的精确测量特性。

It is difficult to parallelize a subsistent sequential algorithm.

对已有的串行算法进行并行化，是一项很困难的工作。

Sequential Modular Approach was applied to design distillation column simulation training algorithm.

采用序贯模块法设计了精馏塔仿真培训的算法.

The sequential minimal optimization algorithm optimizes the standard single threshold error tolerance optimization condition, thus results in the time-consume to seek the second optimization sample.

次序最小优化算法优化标准的单一阈值容易错判优化条件，从而导致花费大量时间寻找第二个优化样本。

Optimize Synchronous sequential circuit with retiming was introduced by Leiserson and Saxe in 1983, and Retiming optimizational algorithm was summarized comprehensively in 1991. Retiming has been used for many fields recently.

Leiserson和Saxe于1983年提出了利用重定时优化同步时序电路，并于1991年对重定时优化算法做了全面的总结。近年来，重定时技术被应用于电子设计自动化的各个领域中。

This paper presents a new test pattern generation technique based on ant algorithm and genetic algorithm for improving the test generation efficiency for sequential circuits.

为提高时序电路的测试生成效率，该文提出一种新的基于蚂蚁算法和遗传算法的时序电路测试矢量生成算法。

The traditional decoding methods of convolutional code can be classified into two types: threshold decoding and probability decoding. The latter can be divided into sequential decoding and Viterbi algorithm.

卷积码的传统译码方法有两大类：一类是门限译码，另一类是概率译码，概率译码又分为序列译码和维特比译码。

Efficient Pruning Algorithm for Mining Frequent Sequential Pattern Based on Stream Data

流数据中一种高效剪枝的频繁序列挖掘算法

A hybrid genetic algorithm for the path programming, which combined to SWIFT ( Sequential Weight Increasing Factor Technique) algorithm and NGA ( niche genetic algorithm), is presented in the paper.

提出了一种将小生境遗传算法与SWIFT算法相结合的混合遗传算法，用于冗余度操作臂的最优路径规划。