The results of the case study slows that the model and the method can efficiently solve large scale optimization problems in water resources systems.
实例研究表明，文中提出的模型与算法具有计算速度快和占用内存量小的优点。
Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.
共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。
Optimization also involves techniques for solving large-scale, discrete, nonlinear, multiobjective, and global problems.
最优化也包括解决大规模，离散，非线性，多目标和全球化问题的技术。
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