搜索资源列表
solving_equations_by_MATLAB
- 分别包含了雅克比法、超松弛（sor）法、共轭梯度法（cg）以及broyden法以及newton法解方程-solving equations by the method of Jocobe、SOR、CG、Broyden、Newton in matlab
NMF-DTU-Toolbox
- matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法-Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: p
frcg
- FR共轭梯度法求解无约束优化问题，其中一维搜索用Armijo搜索。-Fletcher-Reeves method for optimization
madgwick_algorithm_c
- 利用加速度，角速度，地磁 9轴加速度计，陀螺仪，地磁传感器参数融合，利用四元数降梯度法合成姿态值-Using acceleration, angular velocity, magnetic 9 axis accelerometer, gyroscope, geomagnetic sensor parameter fusion, using the four element method to reduce the value of synthetic attitude
CG
- 利用共轭梯度法求解实数的线性代数方程组（fortran），计算速度快。-solve an equation using CG
optimization
- optimization最优化的多种算法的实现，最速下降法梯度法牛顿法以及相似形法，测试函数是香蕉函数-to achieve a variety of optimization algorithms optimization, steepest descent gradient method and Newton' s method similar figures method, the test function is a function of bananas
MATLAB最优化设计程序
- 包含SQP法，非线性最小二乘问题 线搜索技术 乘子发 共轭梯度法 信赖域法 二次规划法 拟牛顿法 最速下降法的MATLAB程序
cg
- 最优化方法中的共轭梯度法，使我们老师写的matlab代码，绝对没有问题-Optimization Method of Conjugate Gradient Method
tidufa
- 梯度法求解二元二次函数的最优解，通过确定收敛精度、最大迭代次数从而迭代求解。-Gradient Method for optimal binary quadratic function by determining convergence precision, maximum number of iterations so iterative solver
CG_Matlab_Eqution
- 共轭梯度法求借无约束最优化问题和对称正定线性方程【自己原创编写的程序，已经过测试】-Conjugate Gradient Methods Solve Optimal Question And Linear Eqution【Self developed program, and tests had been conducted】
CG_optimal
- 共轭梯度法求解无约束最优化问题，采用Wolfe线搜索和armijo算法，还有对各种修正方法（HS，DY...）的对比【自己编写的】-Conjugate Gradient Methods Solve Optimal Question And Linear Eqution
niudui-gongetidu-ercichazhi
- 优化设计：牛顿法、二次插值法、共轭梯度法，c程序-Optimal design: Newton method, two time interpolation method, conjugate gradient method, C program
conjugate-gradient-methods
- 用FR共轭梯度法求解无约束问题: min f(x)-By FR conjugate gradient method for solving unconstrained problem: min f (x)
gongetidu
- 共轭梯度法，是最优化理论与算法课程当中的一种经典的优化算法，-Conjugate gradient method is a classical optimization algorithm in optimization theory and algorithm,
Optimization-code
- 最优化算法程序，包含费线性最小二乘、共轭梯度法、牛顿法-Linear least squares optimization algorithm procedures, including fees, conjugate gradient method, Newton method and so on
CG
- 用共轭梯度法求解方程组、一种最优化方法（适用于求解超定、欠定方程组）-Conjugate gradient method for solving equations, an optimization method (for solving overdetermined, underdetermined equations)
Optimization-correlation
- 1.约束优化问题： minRosen(Rosen梯度法求解约束多维函数的极值)(算法还有bug) minPF(外点罚函数法解线性等式约束) minGeneralPF(外点罚函数法解一般等式约束) minNF(内点罚函数法) minMixFun(混合罚函数法) minJSMixFun(混合罚函数加速法) minFactor(乘子法) minconPS(坐标轮换法)(算法还有bug) minconSimpSearch2(复合形法) -Optimization
exBSS
- 瞬时混和盲信号的分离,使用自然梯度法的实现。-Blind signal separation of instantaneous mixing, using natural gradient method of implementation.
Congrad
- 共轭梯度法求解线性微分方程组的程序，以西安交通大学研究生《数值分析》习题为例，可通用-Conjugate gradient method for solving linear differential equations program to Xi' an Jiaotong University graduate student, " Numerical analysis" exercises, for example, can be common
MATLAB
- 求解界约束问题的截断共轭梯度法，是最近刚出来的方法-The truncated conjugate gradient method for solving boundary constraints is a recent method.