Description: 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method -- to return to the original equation is expressed by the coefficient matrix, a sign of the return value is not zero, then returned to normal. Platform: |
Size: 913 |
Author:陈益林 |
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Description: 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method-- to return to the original equation is expressed by the coefficient matrix, a sign of the return value is not zero, then returned to normal. Platform: |
Size: 1024 |
Author:陈益林 |
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Description: MIMO系统的典型zf均衡器的算法C＋＋实现。brief ZF Equalizer, i.e. Matrix inversion and multiplication
block, i.e. the solution of a linear equation system.-Zf typical MIMO systems equalizer algorithm C to achieve. brief ZF Equalizer, ie Matrix inversion and multiplicationblock, ie the solution of a linear equation system. Platform: |
Size: 6144 |
Author:吴 昊 |
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Description: The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order -The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order Platform: |
Size: 1031168 |
Author:kedle |
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Description: A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction.
KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
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Size: 92160 |
Author:kedle |
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Description: 一个画一种Logistic Map 分岔图(bifurcation diagram)的程序，运行后，你们可以看到它与常规的非线性系统的行为不一样。该映射可以用如下方程表述:
xn=1-a*x2n-1
其中，a――[0,2].
-Logistic Map a painting of a bifurcation diagram (bifurcation diagram) procedures, running, you can see it with the conventional non-linear system behavior not the same. The mapping equation can be expressed as follows: xn = 1-a* x2n-1 of them, a- [0,2]. Platform: |
Size: 1024 |
Author:潘水洋 |
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Description: 编程序，按如下要求来求解n元一次线性方程组（假设方程组具有唯一解）。
（1）方程个数n之值由用户通过键盘输入；
（2）方程组存放在“增广矩阵”A之中，而n行n+1列的A存储空间通过new来动态分配，且A的各元素值也由用户通过键盘输入；
-Allocation procedures, the following requirements to solve the n-a system of linear equations (assuming a unique solution of equations). (1) the number n of the value equation by the user through the keyboard input (2) equations stored in the augmented matrix A, while n line n+ 1 column A storage space through the new dynamically allocated, and A The value of each element by the user through the keyboard input Platform: |
Size: 2048 |
Author:lidongdong |
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Description: this is a course ware used in US university-this is about system of simutaniously linear algebra equation and it is based on matlab Platform: |
Size: 311296 |
Author:Xiao Yang |
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Description: duct.f computes a fully developed viscous laminar flow in a rectangular channel of aspect ratio b/a (=bar).
solve the equation:
d^2u/dx^2 + d^2u/dy^2 = -1, -a<x<a, -b<y<b
method of discretisation: 3-point centered differences
method of linear system solution: gauss-seidel + sor
-duct.f computes a fully developed viscous laminar flow in a rectangular channel of aspect ratio b/a (=bar).
solve the equation:
d^2u/dx^2+ d^2u/dy^2 =-1,-a<x<a,-b<y<b
method of discretisation: 3-point centered differences
method of linear system solution: gauss-seidel+ sor
Platform: |
Size: 2048 |
Author:Barboy |
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Description: 算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。
主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录-Complete collection of algorithm including 30 chapters and 2 appendices: linear programming, nonlinear programming, dynamic programming, graph and networks, queuing theory, game theory, the level of analysis, interpolation and fitting, statistical description and analysis of data , analysis of variance, regression analysis, differential equations modeling, steady-state model, ordinary differential equation solution, difference equation model, Markov chain model, variational method model, neural network model, the numerical solution of partial differential equations, goal programming, fuzzy numerical model, modern optimization algorithms, time series models, storage theory, the optimization of economic and financial issues, production and service operations management in the optimization problem, gray system theory and its applications, multivariate analysis, partial least squares regression, and Appendix
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Size: 7684096 |
Author:商志远 |
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Description: Initialize the variables
Calculates products and standards
Determination of matrices B, C and D
After execute this command we find that p is the max of the third and column position q
Resolution of the system of equation
Resolution of the system of equation in terms of A and b- Initialize the variables
Calculates products and standards
Determination of matrices B, C and D
After execute this command we find that p is the max of the third and column position q
Resolution of the system of equation
Resolution of the system of equation in terms of A and b Platform: |
Size: 1024 |
Author:youcef |
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Description: This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonlinear function over the compact input space. In the proposed control schemes, we need not derive the linear formulation of robot dynamic equation and tune the parameters. We also suggest the robust adaptive control laws in all proposed schemes for decreasing the effect of approximation error. To reduce the number of fuzzy rules of the FLS, we consider the properties of robot dynamics and the decomposition of the uncertainty function. The proposed controllers are robust not only to the structured uncertainty such as payload parameter, but also to the unstructured one such as friction model and disturbance. The validity of the control scheme is shown by computer simulations of a two-link planar robot manipulator. Platform: |
Size: 641024 |
Author:Diamant |
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Description: doolite分解法求解线性方程，输入方程的系数，即可求得线性方程组的解-Doolite decomposition method to solve the linear equation, the coefficient of input equation can be obtained by the solution of the linear system of equations
Platform: |
Size: 49152 |
Author:李 |
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Description: 列主消元法求解线性方程，输入方程的系数，即可求得线性方程组的解-Column main elimination method to solve the linear equation, the coefficient of input equation can be obtained by the solution of the linear system of equations Platform: |
Size: 100352 |
Author:李 |
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Description: 追赶法法求解线性方程，输入方程的系数，即可求得线性方程组的解-Thomas method to solve the linear equation, the coefficient of input equation can be obtained by the solution of the linear system of equations Platform: |
Size: 45056 |
Author:李 |
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Description: 一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程(An algorithm for estimating the state of the system by using the linear system state equation, inputting and outputting the observed data through the system. Since the observed data includes the effects of noise and interference in the system, the optimal estimate can also be considered as a filtering process) Platform: |
Size: 13312 |
Author:皮皮2
|
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Description: 卡尔曼滤波（Kalman filtering）一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。(Kalman filtering (Kalman filtering) An algorithm that optimizes the state of the system by using the linear system state equation, through the system input and output observation data. Since the observed data includes the effects of noise and interference in the system, the optimal estimate can also be seen as a filtering process.) Platform: |
Size: 8192 |
Author:DS1V
|
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Description: 卡尔曼滤波（Kalman filtering）一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。(Kalman filtering (KF) is an algorithm for optimal estimation of system state by using linear system state equation and input and output observation data. Since the observed data include the effects of noise and interference in the system, the optimal estimation can also be considered as a filtering process.) Platform: |
Size: 62464 |
Author:陌陌1 |
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