In this paper two reasons-the deviation of the data from the origin and the size of the data-causing the ill-conditioned normal equations in the least square fitting of a polynomial are discussed.
讨论了最小二乘多项式拟合中引起正规方程组病态的两个重要原因：节点对原点的偏离程度和节点坐标的数量级。
Unfortunately, introducing a comprehensive set of additional parameters can produce a bad condition for normal equations under certain geometry, so that the adjusted results are poorly determined.
可惜的是，当采用一个十分庞大的附加参数组时，在某些几何条件下将导致很坏的法方程系状态，从而使测求的平差结果很差。
Unfortunately, introducing a comprehensive set of additional parameters can produce a bad condition for normal equations under certain geometry, so that the adjusted results are poorly determined.
可惜的是，当采用一个十分庞大的附加参数组时，在某些几何条件下将导致很坏的法方程系状态，从而使测求的平差结果很差。
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