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clear; %清除工作空间中的变量 f=input('Input Fahrenheit temperature：'); c=5*(f-32)/9

clear; %清除工作空间中的变量 f=input('Input Fahrenheit temperature：'); c=5*(f-32)/9

clear; %清除工作空间中的变量 f=input('Input Fahrenheit temperature：'); c=5*(f-32)/9

% CLAMPED CUBIC SPLINE ALGORITHM 3.5 % % To construct the cubic spline interpolant S for the function f, % defined at the numbers x(0) < x(1) < ... < x(n), satisfying % S'(x(0)) = f'(x(0)) an

% HEAT EQUATION BACKWARD-DIFFERENCE ALGORITHM 12.2 % % To approximate the solution to the parabolic partial-differential % equation subject to the boundary conditions % u(0,t) = u(l

% HERMITE INTERPOLATION ALGORITHM 3.3 % % TO OBTAIN THE COEFFICIENTS OF THE HERMITE INTERPOLATING % POLYNOMIAL H ON THE (N+1) DISTINCT NUMBERS X(0), ..., X(N) % FOR THE FUNCTION F: % % IN

% CONTINUATION METHOD FOR SYSTEMS ALGORITHM 10.1 % % To approximate the solution of the nonlinear system F(X)=0 given % an initial approximation X: % % INPUT: Number n of equations and unknowns

% CRANK-NICOLSON ALGORITHM 12.3 % % To approximate the solution of the parabolic partial-differential % equation subject to the boundary conditions % u(0,t) = u(l,t) = 0, 0 < t < T = ma

% NATURAL CUBIC SPLINE ALGORITHM 3.4 % % To construct the cubic spline interpolant S for the function f, % defined at the numbers x(0) < x(1) < ... < x(n), sat

% WAVE EQUATION FINITE-DIFFERENCE ALGORITHM 12.4 % % To approximate the solution to the wave equation: % subject to the boundary conditions % u(0,t) = u(l,t) = 0, 0 < t < T = max t %