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LM算法
老外写的The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It
outperforms simple gradient descent and other conjugate gradient methods in a wide variety of
problems. This document aims to provide an intuitiv
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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
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LM算法的c语言实现
拟合的函数为gauss函数-Levenberg-Marquardt Method
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最新的Levenberg Marquardt 算法。用于非线性最小二乘问题的参数估计和优化！-Latest Levenberg Marquardt algorithm. Nonlinear least squares problem for parameter estimation and optimization!
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求算非线性最小二乘问题的经典算法。Levenberg-Marquardt算法。-This is levmar, a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear
least squares algorithm. levmar includes double and single precision LM versions, both
with analytic and finite differ
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IDL版的Marquadt优化算法，可求解非线性最小二乘问题-MPFIT uses the Levenberg-Marquardt technique to solve the
least-squares problem. In its typical use, MPFIT will be used to
fit a user-supplied function (the "model") to user-supplied data
points (the "da
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Levenberg-Marqardt最优迭代算法-Levenberg-Marqardt optimal iterative algorithm
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非线性优化的算法，用C++实现，比牛顿法有更快的收敛速度。-Levenberg-Marquardt nonlinear least squares algorithms in C/C++
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求算非线性最小二乘问题的经典算法。Levenberg-Marquardt算法.-Calculating a classical algorithm for nonlinear least squares problem. Levenberg-Marquardt algorithm.
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列文伯格-马夸尔特算法是最优化算法中的一种，是使用最广泛的非线性最小二乘法！-Levenberg- Marquardt optimization algorithm is the most widely used non-linear least squares method!
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Levenberg-Marquardt算法是最优化算法中的一种。最优化是寻找使得函数值最小的参数向量。根据求导数的方法.-Levenberg-Marquardt algorithm is an optimization algorithm. Makes optimization is to find the minimum value of the parameter vector function. Method according to the number of derivative.
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levenberg-marquardt算法，采用MATLAB实现-levenberg-marquardt algorithm, using MATLAB implementation
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Levenberg-Marquardt(LM)算法matlab-Levenberg-Marquardt(LM) arithmetic matlab
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levenberg-marquardt算法，有C代码和matlab代码，可参考使用-Levenberg-Marquardt algorithm, C code and matlab code, the use of reference
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用Python语言实现LM(Levenberg-Marquardt)算法。-implementation of LM(Levenberg-Marquardt) algorithm with python.
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Levenberg Marquardt算法的matlab代码,简洁无误,结构清晰,便于快速学习。-
LevenbergMarquardt algorithm matlab code, simple and correct, clear structure, easy to learn quickly.
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Lervenberg-Marquardt 算法的实现，包括测试代码，并有辅助函数。解压缩后可直接运行，包含3个例子，在LMFnlsq2test.pdf中有对算法的详细描述。(The function is an improved version of the function LMFnlsq widely tested on the nonlinear regression, curve fitting and identification problems. Better descr ipti
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