DSSZ
www.dssz.org
Search
Sign in
Create an account
Hot Search :
Source
embeded
web
remote control
p2p
game
More...
Location :
Home
Search - newton
Main Category
SourceCode
Documents
Books
WEB Code
Develop Tools
Other resource
Search - newton - List
【
matlab
】
rafson-num
DL : 0
A code for Newton-Rafson root Finder in matlab. The program was defined to find the roots of function y=z^3-1
Update
: 2024-05-19
Size
: 1024
Publisher
:
Hossein
【
matlab
】
newton
DL : 0
自适应中的牛顿法。结论,当u靠近0.5时,wk 迅速增加到最佳权, 当u小于0.5时,wk 沿着一个方向单向靠近最佳权;u大于0.5时wk沿着起始点指向最佳权的方向左右振荡并向最佳权收敛 ! -The Newton method adaptive. Conclusion, when u close to 0.5, wk quickly right to the best, when u is less than 0.5, wk along the a direction close to the best the right way u greater than 0.5 wk point along the starting point about the best direction for the right to the right of oscillation and convergence of the best!
Update
: 2024-05-19
Size
: 2048
Publisher
:
蓉儿
【
Other
】
NF
DL : 0
Newton Raphson Load Flow
Update
: 2024-05-19
Size
: 2048
Publisher
:
albertnikpendar
【
Windows Develop
】
test1
DL : 0
我自己写的高斯牛顿算法,已经通过了测试。有需要的朋友可以下载。-I wrote it myself Gauss-Newton algorithm, has passed the test. A friend in need can be downloaded.
Update
: 2024-05-19
Size
: 196608
Publisher
:
陈雪
【
Education soft system
】
venkyNR
DL : 0
newton raphson method for findin load flow problems j1,j2,j3,j4
Update
: 2024-05-19
Size
: 1024
Publisher
:
nishu
【
matlab
】
Matlab
DL : 0
Matlab数值积分,包含多种积分的源程序 CombineTraprl 复合梯形公式求积分 IntSimpson 用辛普森系列公式求积分 NewtonCotes 用牛顿-科茨系列公式求积分 IntGauss 用高斯公式求积分 IntGaussLada 用高斯拉道公式求积分 IntGaussLobato 用高斯—洛巴托公式求积分-Matlab numerical integration, including a variety of points of the source CombineTraprl composite trapezoidal formula for integration by Simpson IntSimpson series with the formula for Newton NewtonCotes points- Coats IntGauss series with the formula for Gaussian integration formula for points IntGaussLada high for points formula Slaven Road with Gaussian IntGaussLobato- Lobato integral formula for
Update
: 2024-05-19
Size
: 3072
Publisher
:
Wade
【
Algorithm
】
newton
DL : 0
newton interpolation
Update
: 2024-05-19
Size
: 1024
Publisher
:
wang
【
Other
】
ragdoll_v1.1
DL : 0
Ragdoll v1.1 using OpenGL and Newton
Update
: 2024-05-19
Size
: 855040
Publisher
:
sanity
【
matlab
】
Newton
DL : 0
It is about the newton algrithm, the algrithm is used to calculate the root.
Update
: 2024-05-19
Size
: 1024
Publisher
:
Gage
【
Mathimatics-Numerical algorithms
】
Newton
DL : 0
这是数值计算中的newton算法,适合初学者学习,算法快捷易读-This is the numerical calculation of the CG algorithm, suitable for beginners to learn, easy to read fast algorithm
Update
: 2024-05-19
Size
: 1024
Publisher
:
李超
【
Algorithm
】
newton
DL : 0
用简单迭代法和牛顿迭代法求exp(x)+10*x-2=0的近似根,误差不超过0.0005,取初值为0,简单迭代法用迭代过程(2-exp(x))/10-With a simple iteration method and Newton iterative method seeking exp (x)+10* x-2 = 0 approximation of the root, the error does not exceed 0.0005, take initial value of 0, a simple iterative method with the iterative process (2-exp (x))/10
Update
: 2024-05-19
Size
: 510976
Publisher
:
吴岳伟
【
Other
】
mandbrot_newtonfractal
DL : 0
newton分形和mandbrot分形的生成,展示分形的生成过程-newton fractal and fractal generation mandbrot display fractal generating process
Update
: 2024-05-19
Size
: 1024
Publisher
:
chou
【
Algorithm
】
STRSCNE
DL : 2
给出变量的上下边界、初值和代价函数,能够搜索代价函数最小值时的变量取值。属于带约束的优化算法,可以用来求算非线性方程组。-STRSCNE is a Matlab code for constrained nonlinear systems of equations F(x)=0 l<=x<=u where F: R^n--> R^n, l and u are vectors of dimension n. Non-existent lower and upper bounds, i.e. entries of l and u equal to minus o plus infinity, are allowed. The algorithm is a globally convergent procedure that combines Newton method and an elliptical trust-region approach. The elliptical trust-region is defined employing a scaling diagonal matrix D and the trust-region subproblem is approximately solved by the dogleg method. Only strictly feasible iterates are generated. Various input/output options are provided, and we refer to the code itself for further documentation.
Update
: 2024-05-19
Size
: 5120
Publisher
:
muxihan
【
Algorithm
】
Newton
DL : 0
可以计算非线性方程的近似解,通过牛顿迭代法逐渐接近真值。-Can calculate the approximate solution of nonlinear equations by Newton' s iterative method move closer to true value.
Update
: 2024-05-19
Size
: 1024
Publisher
:
陈寅生
【
OS program
】
Newton
DL : 0
牛顿插值法和拉格朗日插值法 数值分析中的重要算法啊-Newton interpolation method and Lagrange interpolation and numerical analysis of the important algorithms ah
Update
: 2024-05-19
Size
: 38912
Publisher
:
zhangyan
【
Mathimatics-Numerical algorithms
】
Newton
DL : 0
牛顿法解非线性方程 一种很实用简短的算法-Newton
Update
: 2024-05-19
Size
: 2048
Publisher
:
gaoxiaoan
【
Algorithm
】
TRAPEZOIDAL-WITH-NEWTON-ITERATION-ALGORITHM
DL : 0
本程序提供一种求解刚性微分方程组的算法:具有牛顿迭代的梯形法-This procedure provides an algorithm for solving stiff differential equations: the trapezoidal method with Newton iteration
Update
: 2024-05-19
Size
: 2048
Publisher
:
mike
【
source in ebook
】
newton
DL : 0
计算方法中的牛顿差值算法,计算方法中的牛顿差值算法-Method of calculating the difference in the Newton algorithm, the calculation of the difference between Newton' s algorithm
Update
: 2024-05-19
Size
: 1024
Publisher
:
jarly
【
matlab
】
newtsol
DL : 0
Newton-Armijo code for scalar equations: Inputs: X = initial iterate, F = function, TOLA = absolute error tolerance, TOLR = relative error tolerance, JDIFF = 0, analytic derivative, syntax: [f,fp]=f(x), JDIFF = 1, forward difference derivative , Output: x=approximate result, HIST = array of iteration history-Newton-Armijo code for scalar equations: Inputs: X = initial iterate, F = function, TOLA = absolute error tolerance, TOLR = relative error tolerance, JDIFF = 0, analytic derivative, syntax: [f,fp]=f(x), JDIFF = 1, forward difference derivative , Output: x=approximate result, HIST = array of iteration history
Update
: 2024-05-19
Size
: 1024
Publisher
:
devdvl
【
Algorithm
】
newton
DL : 0
高效率的牛顿迭代法,求根。C实现的版本。-Efficient Newton iteration method, Roots. C implementation version.
Update
: 2024-05-19
Size
: 2048
Publisher
:
Cao Zhongyan
«
1
2
...
9
10
11
12
13
14
15
16
17
18
19
...
50
»
DSSZ
is the largest source code store in internet!
Contact us :
1999-2046
DSSZ
All Rights Reserved.