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alg024.m
% SECANT ALGORITHM 2.4
%
% To find a solution to the equation f(x) = 0
% given initial approximations p0 and p1:
%
% INPUT: initial approximation p0, p1; tolerance TOL;
% maxim
alg058.m
% TRAPEZOIDAL WITH NEWTON ITERATION ALGORITHM 5.8
%
% TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM:
% Y' = F(T,Y), A
alg113.m
% LINEAR FINITE-DIFFERENCE ALGORITHM 11.3
%
% To approximate the solution of the boundary-value problem
%
% Y'' = P(X)Y' + Q(X)Y + R(X), A
alg023.m
% NEWTON-RAPHSON ALGORITHM 2.3
%
% To find a solution to f(x) = 0 given an
% initial approximation p0:
%
% INPUT: initial approximation p0; tolerance TOL;
% maxi
alg051.m
% EULER'S ALGORITHM 5.1
%
% TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM:
% Y' = F(T,Y), A
alg041.m
% SIMPSON'S COMPOSITE ALGORITHM 4.1
%
% To approximate I = integral ( ( f(x) dx ) ) from a to b:
%
% INPUT: endpoints a, b; even positive integer n.
%
% OUTPUT: approximation XI to I.
alg111.m
% LINEAR SHOOTING ALGORITHM 11.1
%
% To approximate the solution of the boundary-value problem
%
% -Y'' + P(X)Y' + Q(X)Y + R(X) = 0, A
crc9.m
% The program generates CRC code for any given input message stream &
% generator polynomial
%msg=[1 1 1 0 0 0 1 1 ]
msg=input('Input Message sequence :');
%poly=[1 1 0 0 1 1]
poly=input('Input G