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Description: 雅可比、塞德尔和SOR迭 代法的原理。代法的原雅可比、塞德尔和SOR迭代法的原理。理。-Jacobian, Seidel and SOR Diez Jacobian, Seidel SOR iteration method and the principle. On behalf of the original law Jacobian, Seidel SOR iteration method and the principle. Jimmy.
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Author: 张名 |
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Description: 拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数（微分）,微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程AX=B-Lagrange interpolation polynomial fitting, polynomial interpolation Newton, Euler equations partial differential equations, Limit the use of derivative solving differential (differential), the equations of N = 4 Runge- Kutta method. Jacobian Davis iterative method of solving equations AX = B, least squares polynomial fitting, portfolio Simpson formula for integration, with a triangular decomposition method of solving equations AX = B.
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Author: wangshen |
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Description: ％ 该Matlab程序基于牛顿－拉夫逊算法，用于计算已知导纳矩阵、PQ节点、PV节点、平衡节点(UA)的电力网络潮流
％ U - 各节点母线电压 S - 各节点注入功率 S_net - 电力网络总损耗
％ PQ_P - 实算PQ节点注入有功功率 PQ_Q - 实算PQ节点注入无功功率
％ delt_PQ_P - 实算PQ节点有功功率修正值 delt_PQ_Q －实算PQ节点无功功率修正值
％ delt_UA_P - 实平衡节点有功功率修正值 delt_U_2 - 实平衡节点电压平方修正值
％ delt_PQV - 实算P Q U^2修正值 J - 雅可比矩阵
％ e - 电压实部 f - 电压虚部 delt_ef - 电压实部与虚部修正值- The Matlab program based on the Newton- Raphson algorithm is used to calculate the admittance matrix is known, PQ node, PV node, the node balance (UA) the trend of the electricity networks U- the node bus voltage S- each node injection power S_net-- The total loss of electric power networks PQ_P- operator PQ is injected into active nodes PQ_Q- operator PQ is injected reactive power node delt_PQ_P- is considered the correct value of active power PQ node delt_PQ_Q- really count PQ node reactive power to amend the value of delt_UA_P- real active power balance of the correct value of the node delt_U_2- node voltage balance is the correct value of the square of delt_PQV- really count PQU ^ 2 the correct value of J- Jacobian matrix e- voltage real part f- the imaginary part of voltage delt_ef- voltage real part and imaginary part of the amendment value
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Author: mmcc |
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Description: 这是牛顿法求解非线性方程组哦那个，用matlab编写的3个m文件，F是方程组左端向量函数，JF是其Jacobian矩阵，最后调用newdim函数文件-This is the Newton method for solving nonlinear equations, oh, um, using Matlab prepared by the three m documents, F is equations extreme vector function, JF its Jacobian matrix, Call newdim function final document
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Author: 娄雯 |
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Description: he power method will be applied to the jacobian matrix of the
2-D henon map to approximate the first Lyapunov exponent by creating
a graph of ln|yn| vs. n, where n is the number of iterations of the
power method and yn = 1/n*ln|DG^n(xo)*yo|. The slope will be an
approximation to the largest Lyapunov exponent.-he power method will be applied to the jacob ian matrix of the 2-D map to approximate henon th e first Lyapunov exponent by creating a graph of ln | yn | vs. n, where n is the number of iterations of the power m ethod and yn = a/n* ln | DG ^ n (xo)* yo |. The slope w ill be an approximation to the largest Lyapunov exponent.
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Author: 杨蒙 |
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Description: matlab下雅克比在数值计算中有很好的应用!-Jacobian under matlab numerical calculation in a very good application!
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Author: 廖代发 |
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Description: 用数值方法来求解雅克比矩阵的迭代过程，并且有仿真结果-Numerical methods to solve the Jacobian matrix of the iterative process, and simulation results
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Author: 张学友 |
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Description: 利用MATLAB编程求雅可比矩阵，来完成电力系统的潮流计算-MATLAB Programming for the use of Jacobian matrix, to complete the power system load flow calculation
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Size: 3072 |
Author: 柳三喜 |
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Description: 雅克比过关法算法求矩阵的奇异值分解，是雅克比算法的优化，提高计算速度-Clearance method Jacobian matrix algorithm for the singular value decomposition is Jacobian optimization algorithm to improve the computing speed
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Size: 1024 |
Author: yudongjun |
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Description: 雅克比方法求矩阵的特征值和特征向量，matlab文件，已经调试成功了-Methods for Jacobian matrix eigenvalues and eigenvectors, matlab documentation, debugging has been successful
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Author: lily |
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Description: matlab算法集 -matlab algorithms algorithms matlab
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Author: bensive |
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Description: 粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise
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Author: testit123 |
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Description: 机器人运行轨迹描绘程序1，利用雅可比矩阵估计进行动态分析-Robot trajectory depicts the procedure to run 1, using the estimated Jacobian matrix for dynamic analysis
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Author: testit123 |
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Description: 学习扩展卡尔曼滤波气的基本文件，可以随便下载并讨论-This is a tutorial on nonlinear extended Kalman filter (EKF). It uses the standard EKF fomulation to achieve nonlinear state estimation. Inside, it uses the complex step Jacobian to linearize the nonlinear dynamic system. The linearized matrices are then used in the Kalman filter calculation.
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Author: tongliang |
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Description: 雅克比迭代法 求Hilbert矩阵病态方程组-Iterative Method Jacobian matrix pathological Hilbert equations
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Author: ad2d |
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Description: 各种数值分析常用的程序，雅克比迭代，G_S法，牛顿 拟牛顿，拉格朗日数乘等-Numerical analysis of a variety of commonly used procedures, Jacobian iteration, G_S law, Newton' s quasi-Newton, Lagrange and so few take
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Author: paul |
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Description: Semi-automatic Differentiation (SD) Toolkit is a Matlab implementation
of the complex step derivative (CSD) technique for the differentiation of real-valued functions. The Toolkit consists of three core functions:
sdGrad.m - Returns CSD approximation of the gradient (g) of the
scalar-valued target function fun(p,Extra), according to Equation 3
of the paper.
sdJac.m - Returns CSD approximation of the Jacobian (J) of the
scalar-valued target function fun(p,Extra), according to Equation 3
of the paper.
sdHg.m - Rerurns CSD approximation of the Hessian (H) of the
scalar-valued target function fun(p,Extra), according to Equation 7 of the
paper. It also returns the centered-difference CSD approximation of the
gradient as a by-product.
For a brief describtion of the functions in the toolkit,
type ,help sdToolkit> at Matlab command prompt.-The sdToolkit demonstrates the complex step derivative method on a variety of functions and geophysically oriented examples
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Author: 蒋礼 |
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Description: 采用maple编写机器人雅可比矩阵计算程序-Adopt maple write robot Jacobian matrix calculation program
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Author: 卢帆 |
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Description: 电力系统潮流计算中雅可比矩阵形成的程序，使用MATLAB编程-Power System Load Flow Jacobian matrix formation process, using the MATLAB programming
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Author: 涛哥 |
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Description: An implementation of Unscented Kalman Filter for nonlinear state estimation.-Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system.
The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF.
For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a
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Author: DT丿灬雪狼 |
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