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[Console] PROGRAMSEIDEL DL : 0: 一、 Seidel迭代法算法8.2： 1．输入矩阵A，右端项b ，初始迭代向量 X(0) ，维数n，容许误差ε ，最大容许迭代次数 N。 2．置k=1. 3．计算 X1=(b1-Σa1jxj(0))/a11 j=2,3,…….,n Xi=(bi-Σaijxj-Σaijxj(0))/aii, i=2,3,……,n-1 Xn=(bn-Σanjxj)/ann j=1,2,…….,n-1 4．若||X-X(0)|| <ε，输出X , 停机；否则，转步骤5。 5．若k<N，k+1=>k,X=>X(0),转步骤3；否则输出失败信息，停机 -A, Seidel iteration algorithm 8.2:1. Input matrix A, the right side of b, the initial iterative vector X (0), dimension n, tolerance ε, the maximum allowed number of iterations N. 2. Home k = 1.3. Calculation of X1 = (b1-Σa1jxj (0))/a11 j = 2,3, ... ...., NXi = (bi-Σaijxj-Σaijxj (0))/aii, i = 2,3, ... ..., n-1Xn = (bn-Σanjxj)/ann j = 1,2, ... ...., n-14. If | | XX (0) | | <ε, the output X, downtime Otherwise, switch to step 5.5. If k <N,k+1=> k, X => X (0), to Step 3 Otherwise output failure message downtime
Date : 2025-12-29 Size : 50kb User : Gellss
[Console] PROGRAMMIFA DL : 0: 幂法求矩阵的特征值和特征向量算法9.1 1．输入矩阵A，初始向量X，误差限ε最大迭代次数N。 2．置k=1，u=0。 3．求xr=>λ，|xr|=max|xr|,i=1,….,n。 4．计算 Y=X/λ，X=AY 5．若|λ-u|〈ε，输出λ，X，停机；否则，转步骤6。 6. 若k<N，k+1=>k，λ=>u,转步骤3；否则，输出错误信息，停机 -Power-law matrix eigenvalue and eigenvector algorithm 9.11. Input matrix A, the initial vector X, the error ε maximum iteration limit N. 2. Home k = 1, u = 0. 3. For xr => λ, | xr | = max | xr |, i = 1, ...., N. 4. Calculation Y = X/λ, X = AY5. If | λ-u | <ε, the output λ, X, downtime Otherwise, switch to step 6.6. If k <N,k+1=> k, λ => u, to Step 3 Otherwise, output an error message , parking
Date : 2025-12-29 Size : 18kb User : Gellss