搜索资源列表
subgradient optimization
- 在最优化问题中,运用拉格朗日松弛时为了解决其对偶问题,可以使用次梯度方法进行求解拉格朗日乘子。(Lagrangean relaxation, a technique of quite general applicability, is studied in the particular context of the optimization problem with arbitrary additional constraints. To solve the Lagrangian dual, w
avg_gradient
- 计算图像平均梯度,可以用于图像质量评估。(The average gradient of the computed image can be used for image quality evaluation.)
caisetidu1
- 用于计算彩色图像的概率密度梯度,核函数选取为高斯核函数(The probability density gradient of color image)
Pr.xu
- 计算图像灰度梯度,进行二值化分割。具有一定的泛化能力。(Calculate the image gray gradient, two value segmentation. Have a certain generalization ability.)
puCon
- 谱模拟计算频谱包络,进而可以帮助提取子波。预条件共轭梯度法(Spectral simulation, spectral envelope)
minimize
- 共轭梯度法求解无约束的最优化问题,该方代码利用Matlab实现。(Conjugate gradient method for unconstrained optimization problems, the square code using Matlab implementation.)
aveg
- 计算图像平均梯度,用于反映图像清晰度。平均g越大,清晰度越大,图像包含的信息量越多。(computed one image of Average gradient)
suanfa
- 最优化方法\Cholesky分解.cpp 最优化方法\二阶导数计算.cpp 最优化方法\信赖域牛顿法.cpp 最优化方法\共轭梯度法.cpp 最优化方法\强迫正定Cholesky分解.cpp 最优化方法\直接法一维收索.cpp 最优化方法\解析法一维收索.cpp(\Cholesky decomposition of optimization methods.Cpp Optimization method [two order derivative calculation
(FR共轭梯度法程序)
- 在共轭梯度法的实际使用中, 通常在迭代 ?? 步或 ?? + 1 步之后, 重新取负梯 度方向作为搜索方向, 我们称之为再开始共轭梯度法. 这是因为对于一般非二次 函数而言, ?? 步迭代后共轭梯度法产生的搜索方向往往不再具有共轭性. 而对于 大规模问题, 常常每 ??(?? < ?? 或 ?? ? ??) 步就进行再开始. 此外, 当搜索方向不 是下降方向时, 也插入负梯度方向作为搜索方向.(In the practical use of conjugate gradient m
sgd_solver.zip
- 自然梯度算法比随机梯度算法有更好的收敛性能和数值稳定性,块递归算法需要较少的运算时间。(The natural gradient algorithm works more efficiently than the ordinary gradient algorithm, and the block recursive method is feasible to real-time processing.)
球体sphere正演程序_matlab
- 球体磁梯度张量计算,根据文献中方法编写,可以快速计算各分量(Magnetic gradient tensor of sphere)
共轭梯度反演----非线性源代码
- matlab源代码解决非线性共轭梯度,很好的参考(Matlab source code to solve nonlinear conjugate gradient reference)
Desktop
- 用matlab编程计算共轭梯度法求二次型方程的最值。(The conjugate gradient method is used to calculate the maximum value of the two type equation by MATLAB programming)
GD
- 机器学习课程中的梯度下降算法的代码示例(MATLAB版本)(Code examples of gradient descent algorithms in machine learning programs)
5
- 5 基于多方向梯度和形态学算法的红外弱小目标检测(More than 5 based on direction gradient algorithm of infrared weak small targets detection and morphology)
gradient1
- 本程序用自然梯度算法实现源信号的分离,给出了平均串音误差(This program uses natural gradient algorithm to achieve the separation of source signals, and gives the average crosstalk error)
主动学习指数梯度探索
- 详细地讲解了主动学习过程中指数梯度的探索(The exploration of exponential gradient in active learning is explained in detail)
Untitled3
- 能够实现盲信号分离的自然梯度算法以及变步长不完整自然梯度算法。(Can realize blind signal separation of natural gradient algorithm, and variable step size incomplete natural gradient algorithm.)
Untitled5
- 基于分离度的变步长不完整自然梯度算法,能够很好的实现盲信号分离。(Based on the degree of separation of variable step size incomplete natural gradient algorithm, can be very good to achieve blind signal separation.)
Untitled16
- 自然梯度算法和变步长优选函数不完整自然梯度算法。(Natural gradient algorithm and variable step size optimization function, incomplete natural gradient algorithm.)