本文提出了一种基于蚁群算法求方程组数值解的新方法。
A new method for resolving equation groups is proposed, which is based on Ant Colony System.
数值试验表明算法具有良好的可扩展性，能够用于全基因组范围内的大规模同源RNA序列搜索。
Test results shows that the parallel method has good scalability, and can be used in solving large-scale homologous RNA search problem.
用延续算法对该代数方程组进行求解，得到系统的周期解。系统周期解的初始值通过时域数值积分得到。
The system of nonlinear algebraic equations is solved by using the continuation method and its periodic solution is obtained.
算法通过对参数选取一组值代替仅选择一个值，克服了单个参数值选取困难的问题，能够得到更高的分类准确率。
The algorithm resolves the problem of selecting parameter value and can get higher classifying accuracy via selecting a group of parameter values instead of only one value.
同时对方程离散、方程组的耦联求解以及SIMPLE算法等数值计算以及湍流及其模型等问题进行了论述。
Governing equation discrete, solving of the conjugated algebraic equation set and SIMPLE method are also discussed in this paper.
介绍了BBO晶体的物理光学性质以及一般的数值求解算法，并通过对耦合波方程组进行归一化处理并且编写了相应的数值模拟程序。
Physical and optical properties of BBO and general numerical solving methods are introduced, these coupling equations are normalized and a final numerical simulation program is programmed.
微分方程组数值解方法，包括调制，解调，信噪比计算，借鉴了主成分分析算法(PCA)。
Numerical solution of differential equations method, Includes the modulation, demodulation, signal to noise ratio calculation, it draws on principal component analysis algorithm (PCA).
修正算法对于凸约束优化问题全局收敛，最后我们通过一组数值试验验证了新算法的实际运行效果。
Global convergence is promoted through the use of the filter and the convergence theory holds for convex constrained problems. Numerical results demonstrate the efficiency of the modified algorithm.
修正算法对于凸约束优化问题全局收敛，最后我们通过一组数值试验验证了新算法的实际运行效果。
Global convergence is promoted through the use of the filter and the convergence theory holds for convex constrained problems. Numerical results demonstrate the efficiency of the modified algorithm.
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