搜索资源列表
optLib
- 提供了常用的优化算法，包括约束变尺度法，拟牛顿法，遗传算法，多目标优化算法，Hookjeeves算法等多种算法。使用时先写好优化模型，生成相应的dll此优化库可以根据选择的算法对优化模型进行优化求解。-provide a common method of optimization, including CVMO1-, quasi-Newton method, genetic algorithm, multi-objective optimization algorithm, Hookjeeves
fminlbfgs_version2
- 这是一个快速的拟牛顿法程序，非常实用，非常强大-FMINLBFGS is a Memory efficient optimizer for problems such as image registration with large amounts of unknowns, and cpu-expensive gradients. Supported: - Quasi Newton Broyden–Fletcher–Goldfarb–Shanno (BFGS). -
newton
- 牛顿迭代法是求解非线性微分方程中非常重要的一种算法，收敛速度快！本文提供算例和程序-Newton iterative method is very important for solving nonlinear differential equations an algorithm fast convergence speed! This article provides examples and procedures
C
- 包含了许多的最优化算法，有牛顿法，单纯形法等，都已运行通过了-Contains a number of optimization algorithms, there is Newton' s method, simplex method, etc., have to run through the
constrains
- 牛顿约束及黄金分割法是一种很好的全局寻优算法，利用这种方法可以很好的实现全局寻优，其结果可与遗传算法、模拟退火算法、爬山法等相媲美！-Newton constraints and golden section method is a good global optimization algorithm, using this method can achieve a good global optimization, the result with genetic algorithms, sim
NetwonR
- 牛顿法,解决电力系统无功优化，牛顿拉夫逊法-i like it
GAUSS
- 利用牛顿法思想，结合高斯法求解非线性方程组-Gauss Newton method for solving equations with the visual fortran sofeware including the detailed explanation in chinese characters and numbers and so on
Reactive-Power-Optimization
- 粒子群算法在电网无功优化中的应用，使用多是基本粒子群算法，牛顿法进行潮流计算部分-Reactive Power Optimization
002
- 对神经网络在故障诊断中的应用进行了探讨，针对潜油电泵机组故障的多态性 和多层次性，结合振动数据的轴向频域特征，建立了基于高斯-牛顿法的 BP 神经网络， 通过对其训练和学习，实现了三种常见故障的有效诊断。-The neural network fault diagnosis in the paper discusses the application, esp for fault the polymorphism of unit And more layered, combined
Newdon
- MATLAB实现牛顿法求解非线性方程组，简介快速-MATLAB realization Newton' s method for solving nonlinear equations, Introduction Quick
PSOTool
- 求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强
logisticNewton
- logistic回归实现，优化方法为牛顿法，代码中未上传数据，- logistic newton
912038
- 线性规划 包括单纯形法,梯度,牛顿,不错的源码 很好-Linear programming Including the simplex method, gradient, Newton, good source is very good
Handwritten_digit_classification
- 分别使用梯度法和牛顿法训练数据，从而得到3和5两个数字的训练模型，对测试集进行判决，得到训练错误率(The training data were trained by the gradient method and Newton method, and the training models of 3 and 5 numbers were obtained. The test set was judged and the training error rate was obtained.)