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The_Levenberg-Marquardt_Algorithm
- 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
bpwl
- 使用Levenberg-Marquart算法（最小二乘法）对BP神经网络进行训练，克服了传统BP算法收敛慢，容易收敛于局部最小值等缺点-use Levenberg-Marquardt algorithm to overcome some disadvantages like slow convergence which traditional BP neural network usually has
ria_PMF3
- a sparse implementation of the Levenberg Marquadt algorithm for the PARAFAC model and a multi-way incomplete data generator for Matlab.
Lebenber_Marquart
- Lebenber Marquart algorithm
hw2d
- Obtain the solution using graphical method c. Obtain the solution using analytical method, i.e., conditions of optimality d. Obtain the solution using Steepest Descent Method e. Obtain the solution using Netwon’s method f. Obtain the solution using
hw2e
- Obtain the solution using analytical method, i.e., conditions of optimality d. Obtain the solution using Steepest Descent Method e. Obtain the solution using Netwon’s method f. Obtain the solution using Marquart’s method g. Compare convergence speeds