搜索资源列表
NumericalLinearAlgebra
- 数值线性代数的Matlab应用程序包 共13个程序函数，每个程序函数有相应的例子函数一一对应，以*Example.m命名 程序名称 用途 Method 方法 GrmSch.m QR因子分解 classical Gram－Schmidt orthogonalization 格拉母－斯密特 MGrmSch.m QR因子分解 modified Gram－Schmidt iteration 修正格拉母－斯密特 householder.m QR因子分
Steepest-decline
- 最速下降法是以负梯度方向作为下降方向的极小化算法，本程序用该方法求解n元正定二次函数的极小值
Optimization
- 约束最优化方法－－最速下降法(也叫梯度法)，是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods.
zuiyouhuashiyanbaogao
- 用MATLAB求解无约束的问题，主要有最速下降法，牛顿法，共轭梯度法，变尺度法（DFP和BFGS法），非线性最小二乘法。 用MATLAB求解有约束的问题，主要是外惩罚函数和广义乘子法。 以及一些对具体问题的分析，MATLAB的代码在文档里都有。 -Using MATLAB to solve the problem of non-binding, there are the steepest descent method, Newton method, conjugate gradie
toro.tar
- 非常优秀的全局最优化算法实现，使用迭代随机梯度下降法处理高维度的最优化问题。国外很多优化工程也是在此基础上开发的。 作者：Giorgio Grisetti Cyrill Stachniss Slawomir Grzonka Wolfram Burgard-TORO is an optimization approach for constraint-network. It provides an efficient, gradient descent-based error minimiza
somefunctiontosolveextremum
- 目标函数的几种极值求解方法,包括最速下降法，拟牛顿法，共轭梯度法MATLAB实现-The objective function to solve several extreme methods, including steepest descent, quasi-Newton method, conjugate gradient method
optimization
- 基于最速下降法、牛顿法、共轭梯度法的matlab程序 -Steepest descent Newton conjugate gradient method
descent
- 自适应滤波中的最速下降法仿真程序，课程的大作业，可以绘制梯度曲线-Adaptive Filter steepest descent method simulation program, course the big job, you can draw the gradient curve
min
- 以负梯度方向作为下降方向的极小化算法的最速下降法-To decrease the negative gradient direction as the direction of minimizing the steepest descent algorithm
005
- 常用的数值计算C代码，包括共轭梯度法、单纯形法、数值积分、最小二乘、最速下降法等。-C code commonly used in numerical calculation, including the conjugate gradient method, simplex method, numerical integration, least squares, steepest descent method.
Opt_Steepest11
- 梯度下降法源程序,可求得给定函数的极小值-code of Gradient descent algorithm
gradientDescentTrain.m.tar
- 一个matlab的m文件，使用梯度下降法进行数据训练实现数据分类（线性可分问题）- A matlab m file, the training data using a gradient descent method for data classification (linearly separable problems)
tiduxiajiang
- 多传感器数据融合的梯度下降法。方法较为简单，代码基本可以实现滚转角与俯仰角的解算，需要再调参数会更精确-Multi-sensor data fusion gradient descent. The method is simple, basic code can roll angle and pitch angle of the solver, you need to re-tune the parameters would be more accurate
Gradient-Descent-Method
- 梯度下降法原理及例题实例及matlab相关资料-Gradient Descent Method
minFunc
- 梯度下降法工具箱，包括了L_BFGS等。MATLAB版-gradient descent toolbox, including L_BFGS, MATLAB edition
gradientDescent
- 梯度下降法，一种线搜索方法，以负梯度方向作为最速下降方向进行最优解搜索-Gradient fell method, a linear search method to the negative gradient direction as the direction of steepest descent optimal search
nonlinear-optimization
- 非线性规划各种算法汇总，包括线搜索、梯度下降法、牛顿法、共轭梯度法、DFP算法、BFGS算法和信赖域算法-Summary all kinds of algorithm of nonlinear programming, including line search, the gradient descent method, Newton method and conjugate gradient method, DFP algorithm and BFGS algorithm and trust
OVM
- A Dynamical Tikhonov Regularization for Solving Ill-posed Linear Algebraic Systems.pdf，以上论文提出的求解病态线性方程组的一种较新梯度下降法-A Dynamical Tikhonov Regularization for Solving Ill-posed Linear Algebraic Systems.pdf, more than one paper proposes solving ill-conditi
ADAM
- ADAM （Adaptive Moment Estimation）是另外一种自适应学习率算法，它结合动量梯度 下降法，在不同参数方向上采用不同学习率，保留前几次迭代的梯度，能够很好 的适应于稀疏数据。(ADAM (Adaptive Moment Estimation) is another adaptive learning rate algorithm, which combines momentum gradient. The descent method, which uses di
最速下降法求解方程组
- 最速下降法就是梯度下降法,可以用于求解最小二乘问题(线性和非线性都可以)。可以说是求解机器算法的最古老、最经典的模型，另一种常用的方法是最小二乘法。(The steepest descent method is the gradient descent method, which can be used to solve the least squares problem (both linear and non-linear). It can be said that it is the ol