搜索资源列表
colt04_boyd
- 美国STANFOR大学－－凸优化及应用：凸优化基本原理，在通信及函数优化中德应用-STANFOR University of the United States -- convex optimization and application : the basic tenets of convex optimization, in communications and function optimization and German application
ploytran
- 使用opengl图形函数实现了任意凸多边形的扫描转换算法。-use opengl graphics function to achieve an arbitrary convex polygon scan conversion algorithm.
program
- 目标函数是De Jong函数，是一个连续、凸起的单峰函数-Objective function is De Jong function, is a continuous, convex function of the single-peak
tuhanshu
- 详细的介绍了凸函数的一阶范数最优解问题,并且给出一实例-Detailed account of the convex function of the first-order optimal solution norm, and gives an example
convex
- 关于图像最小凸包的一系列算法,该算法主要运用于OpenCV 中的MinAreaBox()函数中 用于确定图像的倾斜角度-With regard to image the smallest convex hull of a series of algorithm, which mainly used OpenCV in MinAreaBox () function is used to determine the image of the tilt angle of
Optimal
- 几个凸优化函数，用于解决非约束和带约束条件的凸优化问题-Several convex optimization function, for solving non-binding and the constrained convex optimization problem
Convexoptimization
- methods of convex function optimization
fir_chebychev_design
- Designs an FIR filter given a desired frequency response H_des(w). The design is judged by the maximum absolute error (Chebychev norm). This is a convex problem (after sampling it can be formulated as an SOCP). minimize max |H(w) - H_de
Rosenbrock
- The Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Rosenbrock (1960). It is also known as Rosenbrock s valley or Rosenbrock s banana function. The global minimum is insid
Convex-Optimization-
- 一本很好的凸优化书，有助于进一步学习凸函数及优化理论。-A good book convex optimization, convex function and help to further study and optimization theory.
xxl
- 平均互信息是信源概率的上凸函数,是信道概率的下凸函数,该软件展示他们平面图与三维可视图.直观.-The average mutual information source probability convex function, convex function of the probability of channel, the software shows they plan and 3D view. Intuitive.
wrk
- 基于模糊对比度的图像增强方法，大致过程仍然是先把图像从空间域映射到模糊域，在模糊域内通过定义一个局部对比度算子，然后通过对凸函数的加强来放大像素邻域的各像素之间的差异。 -Based on the fuzzy contrast image enhancement method, the general process is still the first images from space domain is mapped to the fuzzy field in fuzzy field
Convex
- 使用opencv的函数实现图形图像处理中的凸包缺陷的查找-Use opencv function of the convex hull of the graphics processing defects Find
Convex-optimization
- “凸优化” 是指目标函数为凸函数且由约束条件得到的定义域为凸集的优化问题。文章是MIT的公开课讲义。-"Convex optimization" refers to the objective function is convex function and the constraint conditions are the domain of optimization problem for convex set. Article is MIT public class notes.
GAalgorithm
- 遗传算法求解非凸函数的极值，包含选择交叉变异子函数-Using Genetic algorithm to solve the extremum of non-convex function
simulate
- 使用DC算法求解非凸函数的最优化问题。可以确保局部最优解，有时收敛到全局最优-DC algorithm using optimization problem of non-convex function. Ensure local optima, sometimes converge to the global optimum
Banana-Function-Convex-Optimization
- 优化的Banana函数-各类优化方法的对比-Banana optimization function- Comparison of various types of optimization methods
optimization-algorithm
- 在运筹学基础中，有讲解许多算法，在实际中也会用的到，在这编了几个程序，有凸函数、加布探索法、牛顿法，多数情况下是通用的，只需改几个参数，换下函数即可。-In Operations Research Foundation, there are many algorithms to explain which will be used to do something in practice.There are series of few procedures, including convex f
GMC_software
- 用于稀疏优化的最新非凸函数GMC算法，可用于信号处理以及图像处理。(The latest non convex function GMC algorithm for sparse optimization, can be used for signal processing and image processing.)
PSO
- 梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commo