Alternating direction methods are suitable ones for solving large-scale problems.
交替方向法适合于求解大规模问题。
Based on a rank-1 update, we propose sparse Bayesian Learning Algorithm (SBLA), which has low complexity and high sparseness, thus being very suitable for large-scale problems.
基于秩- 1更新，提出了稀疏贝叶斯学习算法(SBLA)。该算法具有较低的计算复杂度和较高的稀疏性，从而适合于求解大规模问题。
Large scale problems of resources optimal distribution can be resolved by using IPGA.
用IPGA可求解大规模资源最优分配问题。
An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.
结合牛顿法与子空间迭代的思想，给出了一种求解大型优化问题的方法。
The high computational cost has become a bottleneck of support vector machines applied to large scale problems.
高计算代价已经成为支持向量机在大规模问题中应用的瓶颈。
Symbolic-numerical computation is a novel method of solving large scale problems, which applies both numerical and symbolic methods in its algorithms and provides a new perspective of them.
符号与数值混合计算是一种利用数值计算和符号计算方法解决大规模问题的计算方法，它为符号计算与数值计算提供一种新的思维模式和方法。
To further improve the ability for solving large scale problems, multilevel fast multipole algorithm (MLFMA) has been investigated in detail in this paper.
为进一步提高对电大尺寸目标散射求解的能力，详细研究了多层快速多极子方法。
To further improve the ability for solving large scale problems, multilevel fast multipole algorithm (MLFMA) has been investigated in detail in this paper.
为进一步提高对电大尺寸目标散射求解的能力，详细研究了多层快速多极子方法。
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