📄 power1.m
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function [lambda,V]= power1(A,X,epsilon,max1)%Input - A is an nxn matrix% - X is the nx1 starting vector% - epsilon is the tolerance% - max1 is the maximum number of iterations%Output - lambda is the dominant eigenvalue% - V is the dominant eigenvector% NUMERICAL METHODS: Matlab Programs% (c) 2004 by John H. Mathews and Kurtis D. Fink% Complementary Software to accompany the textbook:% NUMERICAL METHODS: Using Matlab, Fourth Edition% ISBN: 0-13-065248-2% Prentice-Hall Pub. Inc.% One Lake Street% Upper Saddle River, NJ 07458%Initialize parameterslambda=0;cnt=0;err=1;state=1;while ((cnt<=max1)&(state==1)) Y=A*X; %Normalize Y [m j]=max(abs(Y)); c1=m; dc=abs(lambda-c1); Y=(1/c1)*Y; %Update X and lambda and check for convergence dv=norm(X-Y); err=max(dc,dv); X=Y; lambda=c1; state=0; if (err>epsilon) state=1; end cnt=cnt+1;endV=X;
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