搜索资源列表
vcmat
- 以前使用matlab和vc混合编程都使用的是先将m程序用mcc转化成dll,再在vc中调用 的方法。这种方法对比较复杂的m文件很方便,但是对一些小的程序,如曲线可视化、计算矩阵特征值等,对这些只需要一两行代码的小程序,再使用dll就得不偿失了。经过试验后,发现可以直接在C++程序中调用matlab c/c++ math & graphic library的函数。-before using Matlab and vc mixed programming using the first proc
L-curve
- L-曲线法是反问题正则化方法中的参数选取中的重要方法,本程序给出了如何恰当选取其中的参数!-L-curve method is the inverse problem regularization method of parameter selection in an important way, this procedure is given on how to properly select one of the parameters!
Logistic--curve-prediction
- Logistic(逻辑斯蒂)曲线模型是一种预测模型,该代码实现了L曲线的预测。-Logistic curve model is an important method which used widely in prediction. This code will help achieve the prediction.
l_curve
- 反演问题中正则化参数阿尔法的l-curve选取方法,用于画出l-curve,选取曲率最大的点。-Inverse problem regularization parameter alpha l-curve selection method used to draw l-curve, the point of maximum curvature.
l_corner.m
- 利用最大曲率方法在L-curve中寻找适合的阻尼参数-Looking for the maximum curvature method utilizes damping parameters in L-curve
Tikhonov_regularization_toolbox
- Tikhonov正则化工具箱,可实现病态方程组的正则化,以及采用L曲线法、岭估计法、GCV法等确定正则化参数,内含使用方法,亲测有效。-Tikhonov regularization toolbox, which can realize regularization in morbid equations, and using the L curve method, ridge estimation, GCV method to determine the regularization para
tikhonov
- 压缩包里包含了:正则化方法,L曲线,奇异值分解等,希望对大家有帮助(Compression package contains: regularization method, L curve, singular value decomposition and so on, we hope to help everyone.)
ilovematlab总变分超分辨率重建
- 利用tikhonnov正则化的方法求解病态方程的解。包括利用L曲线法求解所需平衡参数(Tikhonnov regularization method is used to solve the ill conditioned equation. Including the use of L curve method to solve the required balance parameters.)
regu
- 正则化工具包,包括L曲线法求解正则化参数,整套函数(Regularization toolkit, including L-curve method to solve regularization parameters, a set of functions)