搜索资源列表
solving-nonlinear-equations
- 非线性方程与方程组的求解,实现的方法有:拟牛顿法,最小二乘解的广义拟法,蒙特卡洛法-Nonlinear equations and solving equations, implementation methods are: quasi-Newton method, generalized least squares solution proposed method, Monte Carlo
Optimization-method
- 最优化方法及其Matlab程序设计,乘子法程序,非线性最小二乘问题源码,最速下降法与牛顿法源码-Optimization method and Matlab programming, multiplier method procedures, non-linear least squares problem source, the steepest descent method and Newton' s law code, etc.
xmnewt
- 本程序为牛顿法求解非线性常微分方程的例程。采用fortran语言-procedures for the newt method for solving nonlinear boundary value problems . Using FORTRAN language.
uuhu
- 求解非线性规划问题的光滑牛顿法.Smooth nonlinear programming problem solving Newton' s method.-Smooth nonlinear programming problem solving Newton' s method.
newton
- 这是一个用matlab编写的牛顿法源代码,比较简单的无约束方程。牛顿法是求非线性方程(组)零点的一种重要的迭代法,又称牛顿-拉弗森法或切线法。-This is a matlab source code written in Newton s method, relatively simple equation of the non-binding. Newton s method is the pursuit of non-linear equation (group) zero is an
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- 数值计算matlab 二分法 不动点 牛顿法等算法解非线性方程-Numerical calculation matlab Dichotomy fixed point Newton method algorithm for solving nonlinear equations
Treelike-Open-Network-Power-Flow
- 电力系统的树形开式网络的潮流计算程序。 应用牛顿法实现多元非线性方程组的求解。 利用C++和matlab混合编程实现。-Power System, Open Network in tree form, Newton Algorithm, Nonlinear multivariable equations, C++ and matlab.
newraph
- 牛顿法求解非线性方程组-newton method for solving nonlinear equations
Matlab
- matlab程序非线性优化设计方法时下流行的关于非线性规划的源程序,包括SQP方法、乘子法程序、二次规划、非线性最小二乘法、共轭梯度法、拟牛顿法、线搜索技术、信赖域方法、最速下降法与牛顿法等-matlab program nonlinear optimization design method popular on nonlinear programming source code, including the SQP method, the multiplier method procedur
4NETN
- 使用拟牛顿法求解非线性方程组的源码,只需要改变输入的方程组,即可求得需要的解。-Using the quasi-Newton method for solving nonlinear equations, source, only need to change the input equations, you can obtain the desired solution.
Newton
- 共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。-Conjugate Gradient method (Conjugate Gradie
gongetidufadshuzhixingzhi
- 共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数-Conjugate Gradient method (Conjugate Gradien
nonlinear-equations-with-MATLAB.
- 用MATLAB实现非线性方程的数值解法。主要有不动点迭代法,牛顿法,割线法和对称秩法的MATLAB源码。-Numerical solution of nonlinear equations with MATLAB. Fixed point iteration method, Newton, secant, and the symmetry rank of the MATLAB source.
123131
- 二分法、牛顿法、割线法求非线性方程2X3-2X2+3X-6=0在[1, 3]内的近似根。-Bisection method, Newton method, secant nonlinear equations 2X3-2X2+3 X-6 = 0 in [1, 3] an approximate root.
Nonlinear-equations
- 求非线性方程一个实根的对分法,牛顿法,埃特金迭代法,连分式法,QR法,牛顿下山法。-Nonlinear equations a real root of sub-law, Newton s method, Aitken iterative method, continued fraction method, QR method, Newton downhill method.
nt
- 机械优化设计 牛顿法 多元非线性有约束方法 minNT-Optimization of Mechanical Design Newton method multivariate nonlinear constraints
4NETN
- 用拟牛顿法求解非线性方程组一组实根的方法-A group of real roots of the method of quasi-Newton method for solving nonlinear equations
Conjugate-Gradient-Method
- 共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。-Conjugate gradient method (Conjugate Gradient) between the steepest descent between law and Newton'
newton-to-nonlinear-equations
- 牛顿法求解非线性方程组matlab源程序-Newton method for solving nonlinear equations matlab source code
Nnnrrfxxfce
- 牛顿法计算方程,能计算非线性方程/方程程组,有需要的能试试,主要是数学方法的实现 -Newton method to calculate the equation to calculate the nonlinear equation/equation of equations, needs to try, mainly the implementation of the mathematical methods