摘要
梯度法(又名最速下降法)是计算机数据优化的经典算法,通过设定选定区域内的任意两个参数进行比较,从而逐步缩小选定区域范围,直至找出极值。梯度法在计算机数据算法领域运用广泛,运用其基本理论及程序编辑,以成都双流国际机场跑道容量结构为例进行分析,找出使用频率及规律,对加强重点季节时段的监管、预测跑道容量、评估跑道运行能力、考量机场饱和度具有重要意义。将计算机中成熟的优化算法运用到民航数据统计及管理中,也是未来民航业发展的趋势。
Gradient method （also known as the steepest descent method） is a classical algorithm optimized for computer data, which compares any two parameters within the selected area, and gradually narrowing the range to identify the extreme value. Gradient method is widely used in the field of computer data algorithm, to analyze Chengdu Shuangliu International Airport runway capacity structure, for example, by identifying the frequency of use and its regular pattern, which has great significance for strengthening the supervision of the key seasonal periods, forecasting runway capacity, assessing runway running ability and considering airport saturation. It＇s also the inevitable trend of future development of aviation industry, applying computer sophisticated optimization algorithms to the civil aviation statistics and management.
出处
《交通科技与经济》
2013年第4期67-70,共4页
Technology & Economy in Areas of Communications
基金
2012年中国民用航空飞行学院青年基金项目(2012-029)
关键词
梯度法
跑道容量评估
容量优化
函数调用
gradient method
runway capacity evaluation
capacity optimization
function call
