文件名称:LM
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LM算法的简要描述。LM算法是一种定位多变量函数最小值的迭代技术，是解决非线性最小二乘问题的基本技术之一。-The Levenberg-Marquardt(LM)algorithm is an iterative technique that locates
the minimum of a multivariate function that is expressed as the sum of squares
of non-linear real-valued functions[4,6].It has become a standard technique
for non-linear least-squares problems[7],widely adopted in a broad spectrum of
disciplines.LM can be thought of as a combination of steepest descent and the
Gauss-Newton method.
the minimum of a multivariate function that is expressed as the sum of squares
of non-linear real-valued functions[4,6].It has become a standard technique
for non-linear least-squares problems[7],widely adopted in a broad spectrum of
disciplines.LM can be thought of as a combination of steepest descent and the
Gauss-Newton method.
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