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约束最小二乘法图像复原MATLAB仿真程序.m
- bucuo
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
FCLS-Spectral
- 有关求取全约束最小二乘法的很有权威的一篇文章，建议阅读-ANC abundance nonnegativity constraint ASC abundance sum-to-one constraint AVIRIS airborne visible/infrared imaging spectrometer FCLS fully constrained least squares HYDICE hyperspectral digital imagery collect
NMF-DTU-Toolbox
- matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法-Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: p
yichuansuanfachengxu
- 用遗传算法解决约束问题，最小二乘法优化问题，线性规划，整数规划，二次规划等-Genetic algorithm to solve constrained problems, least squares optimization, linear programming, integer programming, quadratic programming, etc.
ml_least_square_method_p033
- 对线性模型的部分空间约束（1,sin(x/2）,cos(x/2),...,sin(5x/2),cos(5x/2))进行最小二乘法学习-Least squares learning is applied to the partial space constraints of the linear model
ml_least_square_method_p036
- Matlab高斯核模型的l2约束最小二乘法学习-Constrained least squares learning with Gaussian kernel model
非线性最小二乘问题
- 利用最小二乘法可以求解线非性规划问题，最小二乘法着重解决优化约束问题(Least square method can solve nonlinear programming problem.Least squares method focuses on solving optimization constraints)