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线性方程组求解,输入是N(N<256)元线性方程组Ax=B,输出是方程组的解,也可能无解或有多组解。可以用高斯消去法求解,也可以采用其它方法-Linear equations, the input is N (N < 256) linear equations Ax = B, and the output is the solution of equations, may also be no solution or multiple sets of solutions. Gaussi
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matlab用来解一般线性或者非线性方程的方法及应用公式。-matlab used to solve a general linear or nonlinear equations and application of formulas.
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matlab用来解一般线性或者非线性方程的方法及标准应用公式。-matlab used to solve a general linear or nonlinear equations and application of formulas.
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计算方法程序课程中追赶法实现的,去求解三对角的线性方程组。-To catch up with France, the course of calculation procedures to solve the tridiagonal linear equations.
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雅可比迭代法求解线性方程组,有具体的实例及运行结果。-Jacobi iteration method to solve linear system of equations with specific example and result.
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数值分析中所常用的计算方法,是解决线性方程求解的简便方法-Commonly used in the numerical calculation method for solving linear equations to solve the easy way
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解决矩阵和线性方程组的解法,使用FORTRAN90实现-Solve the matrix and the solution of linear equations, using the FORTRAN90 achieve
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解决线性方程和非线性方程等大规模的数学计算的快速迭代算法-The rapid iterative algorithm to solve large-scale linear equations and nonlinear equations mathematical calculations
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用于求解线性方程的共轭梯度法,可以用于求解大量的线性方程。-Conjugate gradient method for solving linear equations.Can be used to solve a large number of linear equations
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单精度COLSYS子程序,用于求解常微分线性、非线性方程组。经过扩容后版本,可以求解1000个最高阶次为4阶的方程。-Single precision COLSYS subroutine for solving ordinary differential linear, non-linear equations. Expansion or later, you can solve the 1000 highest order for the fourth-order equation.
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本程序用来求解数值分析中的非线性方程组。非线性方程的解析解通常很难给出,因此线性方程的数值解法就尤为重要。本实验采用两种常见的求解方法二分法和Newton法及改进的Newton法。-This procedure is used to solve the numerical analysis of nonlinear equations. Analytical solutions of the nonlinear equations are usually difficult to give nu
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求解线性方程组的方法很多,主要分为直接法和间接法。本程序实验运用直接法的Guass消去法,并采用选主元的方法对方程组进行求解。-Mainly divided into direct and indirect methods for solving linear equations. The procedure experimental use the direct method Guass elimination and pivoting method to solve the equation
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Our aim is to solve a set of linear equations by the use of a single layer feedforward Neural
Network
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The matlab code is designed to solve linear systems of equations using the Jacobi Method.
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RK4演算法,可用於解決線性及非線性微分方程-RK4 algorithm can be used to solve linear and non-linear differential equations
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本例是matlab算法实例,利用matlab实现非线性方程求解。-Using matlab to achieve a non-linear equation solver
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线性方程组的解法
全主元高斯-约当(Gauss-Jordan)消去法
用高斯-约当消去法求解A[XY]=[BI],其中A为n*n非奇异矩阵,B为n*m矩阵,均已知;X(n*m),Y(n*n)未知。-Solution of linear equations the main yuan Gaussian- Jordan (Gauss-Jordan) elimination method Gauss- Jordan elimination method to solve A [XY] = [B
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本文利用Ping-Liang Rui,Ru-Shan Chen提出的一种基于多层快速多极子(MLFMA)谱域两步预处理方法,来求解在单站RCS计算时产生的有多个右边项的大型线性方程组。-In this paper, Ping-Liang Rui, Ru-Shan Chen proposed based on multilevel fast multipole (MLFMA) spectral-domain two-step pretreatment method to solve the mon
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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。这里给出共轭梯度法的源程序-Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and
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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) is between the steepest descent method and Newton' s
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