搜索资源列表
Interpolation-algorithm
- 7种插值算法的c++代码实现,1 拉格朗日插值(POLINT) 2 有理函数插值(RATINT) 3 三次样条插值(SPLINE(二阶导数值)->SPLINT(函数值)) 4 有序表的检索法(LOCATE(二分法), HUNT(关联法)) 5 插值多项式(POLCOE(n2), POLCOF(n3)) 6 二元拉格朗日插值(POLIN2) 7 双三次样条插值(SPLIE2)-seven interpolation algorithm to achieve the c code, a Lag
AugmentedLagrangianAlgorithms
- Augmented Lagrangian Algorithms 求解非线性最化的局部最优解 -Augmented Lagrangian Algorithms for solving nonlinear partial most of the optimal solution
POLIN2
- 二元拉格朗日插值方法,内含插值函数以及调用的例子-dual Lagrangian interpolation method includes interpolation function call and the example
chazhisuanfa
- 牛顿 拉格朗日 分段线性-Newton piecewise linear Lagrangian
拉格朗日插值函数
- 拉格朗日插值函数算法的示例-Lagrangian function interpolation algorithm examples
L-插值算法
- 拉格朗日算法的实现-Lagrangian algorithm implementation
shiyan1.rar
- 是有关曲线拟合方面的内容,包括拉格朗日法,牛顿插值,样条插值,Is the curve fitting aspects, including the Lagrangian method, Newton interpolation, spline interpolation
TVAL3_v1.0
- 最新的基于压缩感知的TV重构算法,该算法重构图像质量很不错,并且速度很快-TV Minimization by Augmented Lagrangian and Alternating Direction Algorithms
lagrange
- 拉格朗日松弛法的机组组合程序,采用三节点算例-Lagrangian relaxation unit commitment program, the use of three-node example
Matlab
- 矩正实验室的源代码,包括牛顿迭代法 拉格朗日法 和其他的经典算法-Moment is the laboratory s source code, including the Newton iteration Lagrangian and other classical algorithm
lagrange
- 用C++实现的计算方法的拉格朗日lagrange算法,但是不是太完善-With C++ The realization of the method of calculating the Lagrangian lagrange algorithm, but not too perfect
matlab
- 包括牛顿法,拉格朗日法,LU分解法,100*100阶稀疏矩阵方程组的解法等-Including the Newton method, Lagrangian method, LU decomposition method, 100* 100 band sparse matrix equations of the solution, etc.
NIP
- matlab 7.0 以上版本提供了强大的优化工具箱,但在整数规划方面,只提供了bintprog()这个m文件以求解0-1整数规划,而对于一般的整数规划模型没有具体的算法提供。我们一般情况只是用最简单的分值定界思想编写matlab程序求解整数规划问题,但效率低下,如何利用求解整数规划的先进算法编写matlab程序提上日程,香港大学的李端和复旦大学编写的《Nonlinear Integer Programming》(非线性整数规划)为编写解决整数规划问题提供强大有效的算法,其中算法针对具体问题包括
An_SQP_Augmented_Lagrangian_BFGS_Algorithm_for_Co
- An SQP Augmented Lagrangian BFGS Algorithm for Constrained Optimization
optimization
- 最优化算法的总结,包括了主要的搜索算法,NP问题,遗传算法,神经网络,拉格朗日松弛,对计算机优化计算提供理论基础。-Summary of optimization algorithms, including the main search algorithm, NP problems, genetic algorithms, neural networks, Lagrangian relaxation, to provide a theoretical basis for computer op
Langr_Newton
- Optimization: work for Lagrangian Newton algorithm. -Optimization for Lagrangian Newton algorithm.
Relajacion_Lagrangiana
- Gams Ide code for solve a Lagrangian Relaxation problem for two diferents forms (hyperplanes drying method and method of feasible region)
Lagrangian-relaxation
- 拉格朗日松弛,将目标函数中造成问题难的约束吸收到目标函数中,并保持目标函数的线性,使问题更加容易求解。-Lagrangian relaxation
Lagrangian-SVM
- Lagrangian Support Vector Machine,拉格朗日支持向量机。*搬来,出自WISCONSIN大学。-Lagrangian Support Vector Machine
Lagrangian multiplier method
- 通过matlab实现拉格朗日乘子法。学习经典优化方法,熟悉matlab语言。(Realize the Lagrangian multiplier method by matlab. Learning classic optimization methods, familiar with matlab language.)