求翻译：LM算法的关键是用模型函数对待估参数向量在其领域内做线性近似，忽略掉二阶以上的导数项，从而转化为线性最小二乘问题，可以大大地减少计算量是什么意思？

LM algorithm, the key is to treat with the estimated parameter vector function model in the field to do its linear approximation, ignore the above second-order derivative terms, which transformed into a linear least squares problem, can greatly reduce the computational

The key to the algorithm LM function is treated as a model to estimate parameters in its area of linear approximation, lose sight of attending more than 2 bands and translate into a linear most small 2 multiplied by issue, can greatly decrease the computation

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LM algorithm is the key to using the model functions within its area, treat the reassess parameter vector linear approximation, ignored second order derivative of the above, to convert to linear least squares problem, you can greatly reduce the amount of calculation

正在翻译，请等待...