搜索资源列表
Linearfitting
- 直线拟合的几种算法，其中包括线性最小二乘，和两种不同目标函数的非线性最小二乘，用于比较这些方法的优劣，另外matlab中说的robust least squares方法没有找到，希望有朋友能给穿一下：）-Several linear fitting algorithm, which includes linear least squares. and two different objective function of the nonlinear least squares, used to
nlinfit
- 非线性最小二乘算法，矩阵和向量类为自己编写，用数组代替也可以-nonlinear least-squares algorithm, matrix and vector category for their preparation, with the array can be replaced
levmar.rar
- 用于求解非线性最小二乘问题的解。
LM-fit
- 非线性最小二乘-LM法 是用IDL语言编写的，基本思想可以参考-Nonlinear least-squares-LM method is to use IDL language, the basic idea can refer to
fxzxec
- 非线性最小二乘拟合，经过本人精心调试成功！代码得到极大地优化-Nonlinear least squares fitting, after I carefully debugging success! Code has been greatly optimized! ! !
zuiyouhuashiyanbaogao
- 用MATLAB求解无约束的问题，主要有最速下降法，牛顿法，共轭梯度法，变尺度法（DFP和BFGS法），非线性最小二乘法。 用MATLAB求解有约束的问题，主要是外惩罚函数和广义乘子法。 以及一些对具体问题的分析，MATLAB的代码在文档里都有。 -Using MATLAB to solve the problem of non-binding, there are the steepest descent method, Newton method, conjugate gradie
LM
- 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
levmar-2.3
- 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!
cminpack-1.0.1.tar
- 该程序实现了非线性最小二乘问题和非线性方程组的解法，且发布的环境是基于BSD的，不同于levmar在GPL环境下编写的程序。移植性提高！-The program achieved a nonlinear least squares problems and the solution of nonlinear equations, and the release of the environment is based on BSD, the GPL is different from the ci
include
- 非线性最小二乘问题的修正Gauss-Newton法所计算的函数-Rectification of nonlinear least squares Gauss-Newton method calculated function
zuiyouhua
- 此源码包是我本学期最优化理论课程的大作业，其中包括了我自己写的以下常用最优化算法的实现代码：最速下降法，牛顿法，非线性最小二乘法，DFP法。fun1，fun2是两个测试函数。谢谢！-This is my source packages optimization theory this semester courses in large operations, including my own to write the following commonly used optimization al
PLS
- 最小二乘法含有非线性线性拟合附有理论和实际的例子说明比较具有实际应用哟-PLS
jiefangchengzhu
- 非线性最小二乘问题的修正高斯牛顿法；求解5元以下（含5元）的非线性（或线性）方程组-solve equation
levmar-2.1.2
- 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
MarkwardtIDL
- 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
618
- 本程序用C语言编辑 利用非线性最小二乘法来拟合模型，并对其进行PID控制-The program uses C language to edit using nonlinear least squares fitting model, and gain PID control
shuzhifenxi
- 主要涉及以下知识点：分片二次插值、非线性方程组的解法、线性方程组的解法、曲面拟合、最小二乘拟合、矩阵的求逆、计算向量的无穷范数等。-Knowledge involves the following points: piecewise quadratic interpolation, solution of nonlinear equations, solution of linear equations, surface fitting, least squares fitting, matri
optimization-problem
- 非线性最小二乘 优化问题 -Nonlinear least squares optimization problem
非线性最小二乘问题
- MATLAB最小二乘问题，啦啦啦啦啦啦啦啦啦(MATLAB the least squares problem, la la la la la la la la la la la la la la!)
最速下降法求解方程组
- 最速下降法就是梯度下降法,可以用于求解最小二乘问题(线性和非线性都可以)。可以说是求解机器算法的最古老、最经典的模型，另一种常用的方法是最小二乘法。(The steepest descent method is the gradient descent method, which can be used to solve the least squares problem (both linear and non-linear). It can be said that it is the ol