摘要
提出了几何误差评定的迭代重加权最小二乘(IRLS—It鄄erativeReweightedLeastSquares)算法。该算法采用一个迭代过程求解一系列加权最小二乘问题,并在每一步迭代中按照一定的规则对权系数进行调整,使其逐步逼近最优拉格朗日乘子。对于用CMM(坐标测量机)和其他设备得到的数据,可得到平面度误差的精确值。
This paper presents an iterative reweighed least squares (IRLS) method, which is implemented by sequentially solving a set of weighted least squares problem, with the weighting parameters being updated at each iterate. This method could get the precise value of the flatness error form the data of CMM and other equipment.
出处
《中国农机化》
2005年第3期62-63,共2页
Chinese Agricul Tural Mechanization
