搜索资源列表
Code_MATLAB_Optimization
- 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
Lbfgsb.2.1.tar
- Software for Large-scale Bound-constrained or Unconstrained Optimization L-BFGS-B is a limited-memory quasi-Newton code for large-scale bound-constrained or unconstrained optimization. The code has been developed at the Optimization Technology Cent
project1
- Constrained LCS. Given two sequences X, Y and a constrained sequence P, a sequence Z is a constrained longest common subsequence for X and Y with respect to P if Z is the longest subsequence of X and Y such that P is a subsequence of Z.
STRSCNE
- 给出变量的上下边界、初值和代价函数，能够搜索代价函数最小值时的变量取值。属于带约束的优化算法，可以用来求算非线性方程组。-STRSCNE is a Matlab code for constrained nonlinear systems of equations F(x)=0 l<=x<=u where F: R^n--> R^n, l and u a
FEM_1D_modal
- Calculates displacement as function of time for a 1D bar subject to uniform body force, constrained so u=0 at x=0 and subjected to prescribed traction at x=L.
NCLS_lina
- 非负约束最小二乘法丰度反演 NCLS 矩阵运算 EA=X 参考文献：[1]R. Bro, S. D. Jong,"A FAST NON-NEGATIVITY-CONSTRAINED LEAST SQUARES algorithm" [2]Charles L. Lawson, Richard J. Hanson ,Solving Least Squares Problems (Classics in Applied Mathematics) (Society for Industri
LMFnlsq2_220413
- L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。本文件里面有源码和测试码以及对该方法的具体介绍PDF文件。欢迎下载。-L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, chang
icaam
- icaam, G. Papandreou and P. Maragos, Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting, Proc. IEEE Int l Conf. on Computer Vision and Pattern Recognition (CVPR-2008), Anchorage, AL, June 2008.