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gaosixiaoqu
- 可计算任意元一次方程组。 计算时只需将方程化成方程矩阵，将变量系数一一代入a[n][n],等式右边常量代入b[n]即可。-computable arbitrary yuan linear equation group. The calculation equation can be turned into matrix equation, the variable coefficient of a generation into a [n] [n], the right side of th
ztwd
- 电力系统在台稳定计算式电力系统不正常运行方式的一种计算。它的任务是已知电力系统某一正常运行状态和受到某种扰动，计算电力系统所有发电机能否同步运行 1运行说明： 请输入初始功率S0，形如a+bi 请输入无限大系统母线电压V0 请输入系统等值电抗矩阵B 矩阵B有以下元素组成的行矩阵 1正常运行时的系统直轴等值电抗Xd 2故障运行时的系统直轴等值电抗X d 3故障切除后的系统直轴等值电抗 请输入惯性时间常数Tj 请输入时段数N 请输入哪个时段发生故障Ni
qiujie
- 【问题描述】已知线性方程组AX=B，求解该方程组。参考算法： 消去法：将列向量B加到矩阵A的最后一列，构成增广矩阵AB。对AB进行下列三种初等变换，使原矩阵A的部分的主对角线上的元素均为1，其余元素均为0，则原列向量B的部分即为X的值： 1. 将矩阵的一行乘以一个不为0的数 2. 将矩阵的一行加上另一行的倍数 3. 交换矩阵中两行的位置 - [ Question descr iption ] known system of linear equations AX=B, s
ABQ
- 计算机图论基础，求解关联矩阵A B Q 是《网络理论》课程作业-computer graph theory basis for correlation matrix A B Q "network theory" courses operation
yuanma
- 1.大型稀疏线性方程组的求解 A*X=b 。 2. 一维数组冒泡法排序算法 4.矩阵求逆 5. 改进的牛顿算法——弦割法 -1. Large sparse linear equations, the solution X = A * b. 2. One-dimensional array Bubble Act Sorting Algorithm 4. 5 matrix inversion. Improved Newton's algorithm -- S
matlabmatrix
- 1) Write a function reverse(A) which takes a matrix A of arbitrary dimensions as input and returns a matrix B consisting of the columns of A in reverse order. Thus for example, if A = 1 2 3 then B = 3 2 1 4 5 6 6 5 4 7 8 9 9 8 7 Writ
求逆阵
- 202用列主元消取法解线性方程 ***********★*******★********★************ 一．功能 当线性方程组有唯一解时求其解 。 二．算法简介消元过程，设方程组为 Ax=b (1)公式（1）有增广矩阵 a11 a12….a1n b1 a21 a22…a2n b2 (A,B)= ………………. an1 an2…ann bn-out with the main 202 yuan Consumers copying solution of linear equations
矩阵加减乘(M)
- 一个比较简单的算法程序。输入一些数，计算后按照矩阵的形式输出。设了三个数组a[]，b[]，c[]。分别实现c[]=a[]+b[]，c[]=a[]-b[]，c[]=a[]*b[]。-a relatively simple procedure of the algorithm. The importation of some few, calculated in accordance with the matrix in the form of output. Established three a
ldiv
- The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The fu
Matrix
- Matrix (TRANSPOSE , INVERSE , MATRIX INVERSION USING GAUSS-JORDAN REDUCTION AND Calculates the multiplication of two matrix A and B such that C=AB.
Ponytail
- How to Simulate A Ponytail - The Sample App This is a very simple Lagrange Multiplier constrained dynamics simulator to accompany my articles and lectures on How to Simulate a Ponytail. For more information, see http://chrishecker.com/H
matrix
- //--显示矩阵，形参m为行，n为列 void MatrixDisplay(double *A,int m,int n) //--求矩阵转置，形参m为行，n为列,A转置后存为B void MatrixInverse(double *A,double *B, int m,int n) //--求矩阵相乘,A矩阵为[m,p],B矩阵为[p,n],C为[m,n] void MatrixMultiply(double *A,double *B,double *C ,i
matrix
- 本程序将让用户输入两个矩阵a和b，它们的阶数应该相等 让后实现矩阵加法，减法，乘法运算并输出结果。-This program will allow the user to enter two matrices a and b, they should be equal to the order after the realization of matrix addition, subtraction, multiplication and output.
the-solution-to-AX=B
- 对任意线性方程组AX=B，利用矩阵等价变换形成上三角矩阵，在利用高斯消元法中的回代过程简便的求解方程组AX=B的解。本程序是用MATLAB编写的，运行时只要输入矩阵A和B，即可得到方程的解。程序中有详细的注释，很好理解。本程序具有通用性。-For any system of linear equations AX = B, the use of equivalent transformation matrix to form the upper triangular matrix using G
matrix_gauss
- 輸入為AX=B的A、B矩陣及N(A的row數)M(B的行數) 經過後可得到A的反矩陣、X解-Input for the AX = B, A, B matrix and N (A s row number) M (B the number of rows) After the inverse matrix A obtained after, X solution
matrix_lu
- 輸入為AX=B的A、B矩陣及N(A的row數)M(B的行數) 經過後可得到A的反矩陣、X解-Input for the AX = B, A, B matrix and N (A s row number) M (B the number of rows) After the inverse matrix A obtained after, X solution
Matrix
- 稀疏矩阵的行数、列数和非零元素的个数 将稀疏矩阵 a转置，结果在稀疏矩阵 b中-The number of rows of sparse matrix, the number of columns and the number of nonzero elements of sparse matrix a transposition, results in the sparse matrix b
LUforAX=b
- 利用矩阵的LU分解来计算线性方程组，其中矩阵分解的时候利用的是Doolittle分解。-LU decomposition of matrix to calculate the linear equations, matrix decomposition when the use of which is Doolittle decomposition.
N-order-linear-matrix
- 用C语言求解N阶线性矩阵方程Ax=b的简单解法-A simple approach to solving the N-order linear matrix equation Ax = b, using C language
LU-decomposition-of-matrix
- 矩阵的LU分解。用不选主元的LU分解和列主元LU分解求解线性方程组 Ax=b, 并比较这两种方法.-LU decomposition of matrix.With no pivoting the LU decomposition and the main yuan LU decomposition for solving linear equations Ax = b, and compare the two methods.