代码搜索:fprintf

找到约 10,000 项符合「fprintf」的源代码

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c alg022.c

/* * FIXED-POINT ALGORITHM 2.2 * * To find a solution to p = g(p) given an * initial approximation p0 * * INPUT: initial approximation; tolerance TOL; * maximum number of iterations NO
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c alg023.c

/* * NEWTON-RAPHSON ALGORITHM 2.3 * * To find a solution to f(x) = 0 given an * initial approximation p0: * * INPUT: initial approximation p0; tolerance TOL; * maximum numb
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c alg026.c

/* * STEFFENSEN'S ALGORITHM 2.6 * * To find a solution to g(x) = x * given an initial approximation p0: * * INPUT: initial approximation p0; tolerance TOL; * maximum number
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c alg112.c

/* * NONLINEAR SHOOTING ALGORITHM 11.2 * * To approximate the solution of the nonlinear boundary-value problem * * Y'' = F(X,Y,Y'), A
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m 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
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m alg067.m

% CROUT FACTORIZATION FOR TRIDIAGONAL LINEAR SYSTEMS ALGORITHM 6.7 % % To solve the n x n linear system % % E1: A(1,1) X(1) + A(1,2) X(2) = A(1,n+1) % E2: A(2,1) X(1) + A(2,2)
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m alg058.m

% TRAPEZOIDAL WITH NEWTON ITERATION ALGORITHM 5.8 % % TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM: % Y' = F(T,Y), A
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m 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
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m alg043.m

% ADAPTIVE QUADRATURE ALGORITM 4.3 % % To approximate I = integral ( ( f(x) dx ) ) from a to b to within % a given tolerance TOL: % % INPUT: endpoints a, b; tolerance TOL; limit N to
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m 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