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mainc
- 在c++环境下的计算方法程序源代码,包含LU分解,迭代法,二分法,复合梯形公式,简单迭代法,龙贝格公式,最小二乘法拟合,四阶龙格库塔公式,辛普森公式和主元消去法-C++ environment in the calculation of the next source code, including LU decomposition, iterative method, dichotomy, composite trapezoidal formula, a simple iterative me
flow-LUv1.1
- 使用极坐标的潮流计算程序,解方程组时使用LU分解法-Polar coordinates the use of the power flow calculation procedure, solutions of equations using LU decomposition method
PowerFlow
- 使用直角坐标的潮流计算程序,解方程组时使用LU分解法-The use of rectangular coordinates of the flow calculation procedure, solutions of equations using LU decomposition method
lu_decomposition
- header file implementing LU decomposition of a matrix. The file is independent, all the functions required are in the header file
3
- 1、随机生成一个5*5矩阵A,元素符合均匀分布;再随机生成一个5*5矩阵B,元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算,查看运算结果。 2、创建5阶魔术矩阵,求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ,求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵,并显示其全部元素。 -1, randomly generated a 5* 5 matrix A, elements in line with uniform
marunge4gh
- 1 用途:4阶经典龙格库塔格式解常微分方程y =f(x, y), y(x0)=y0 格式:[x, y]=marunge4(dyfun,xspan,y0,h) dyfun为函数f(x,y), xspan为求解区间[x0, xn], y0为初值, h为步长, x返回节点, y返回数值解 2 用途:用LU分解法解方程组Ax=b -1 Uses: 4-order classical Runge-Kutta solution of ordinary differential
LDPC_BSN
- LDPC codes BER simulation under AWGN channel. MacKay-Neal based LDPC matrix. Message encoding uses sparse LU decomposition. There are 4 choices of decoder: hard-decision/bit-flip decoder, probability-domain SPA decoder, log-domain SPA decoder, and si
Delphi_SHU
- 本书目录列表: 第1章线性代数方程组的解法 1.全主元高斯约当消去法 2.LU分解法 3.追赶法 4.五对角线性方程组解法 5.线性方程组解的迭代改善 -Directory listing of this book: Chapter 1 of the solution of linear algebraic equations 1. The whole PCA Gauss Jordan elimination 2.LU decomposition 3. To catc
zLU
- 线性方程组的求解方法,LU分解法采用隐式的部分选主元方法,稳定性较好-Method for Solving linear equations, LU decomposition method using an implicit part of the election the main element method, stability, good
linear
- 数值线性代数运算,分别用列选主元的高斯消去法,矩阵的LU分解并求解方程组和迭代法解方程组,并比较计算结果和时间。-Numerical linear algebra, respectively out how principal component of the Gaussian elimination method, LU decomposition of the matrix, and solving equations and iterative solution of equations,
Proiect_calcul_numeric
- LU algorithm and LU decomposition full CSharp project. Fully functional.
newLUok
- 数值分析中LU分解的程序,程序采用选取主元的方法有较高的精度,对病态矩阵也有较好效果-LU decomposition of numerical analysis procedures, procedures used to select principal components method with high accuracy, on the ill-conditioned matrix has good results
fitting
- 利用最小二乘算法对一组坐标进行曲线拟合,其中包含了利用直接LU分解法解方程的算法代码实现。希望对用到数值计算的带来帮助。-The least square algorithm for fitting a set of coordinates, including the use of direct LU decomposition equations for the algorithm code to achieve. Want to use to bring numerical help.
solvinglinearequations
- 线性方程组求解算法实现。包括了列主元消元法、直接LU分解法、雅克比迭代、高斯赛德尔迭代法。并且对四个算法实现做了不太规范的、简单的类封装。原创代码,含详细注释。希望对用到数值计算的带来帮助。-Algorithm for solving linear equations. Including the main-element elimination method, the direct LU decomposition, Jacobi iteration, high Sisaideer itera
LU
- 利用高斯消元列选主元法进行矩阵的LU分解和利用此分解解线性方程组-LU matrix factorization and use this decomposition of Linear Equations
smartinv
- 通过求解LU分解解线性方程组 大型稀疏矩阵LU分解有用的是容易计算的。不是最快的方式来计算逆矩阵,但要避免消耗储存的问题-computing selected entries of the inverse, by solving a sequence of linear equations after doing an LU factorization. Useful for large sparse matrix which LU decomposition is easy to c
dcal
- 病态方程组求解的matlab程序,涵盖LU分解、Jacobi迭代、GS迭代、SOR迭代四种方法,通过输入参数M来选去对应的算法。-Sick Equations matlab program, covering LU decomposition, Jacobi iteration, GS iteration, SOR iterative four methods, through M to choose input parameters to the corresponding algorithm
Algrithms
- 常用的方程组求解算法,包括LU分解、高斯分解、范德蒙等算法。-Algorithm commonly used equations, including LU decomposition, Gauss decomposition, Vandermonde and other algorithms.
Lu
- LU matrix decomposition in C-LU matrix decomposition in C++
A_LU
- bool lu(double *a, int *pivot, int n);矩阵的LU分解。 假设数组an*n在内存中按行优先次序存放,此函数使用高斯列选主元消去法,将其就地进行LU分解。pivot为输出函数.pivot[0,n)中存放主元的位置排列. 函数成功时返回false,否则返回true. bool guass(double const *lu, int const *p, double *b, int n) 求线性方程组的解。 假设矩阵lum*n为某个矩阵a