代码搜索:fprintf

找到约 10,000 项符合「fprintf」的源代码

代码结果 10,000
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txt alg094.txt

> restart; > # WIELANDT'S DEFLATION ALGORITHM 9.4 > # > # To approximate the second most dominant eigenvalue and an > # associated eigenvector of the n by n matrix A given an > # approximation LA
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txt alg073.txt

> restart; > # SOR ALGORITHM 7.3 > # > # To solve Ax = b given the parameter w and an initial approximation > # x(0): > # > # INPUT: the number of equations and unknowns n; the entries > #
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txt alg102.txt

> restart; > # BROYDEN ALGORITHM 10.2 > # > # To approximate the solution of the nonlinear system F(X) = 0 > # given an initial approximation X. > # > # INPUT: Number n of equations and unknow
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txt alg081.txt

> restart; > # PADE' RATIONAL APPROXIMATION ALGORITHM 8.1 > # > # To obtain the rational approximation > # > # r(x) = p(x) / q(x) > # = (p0 + p1*x + ... + pn*x^n) / (q0 + q1*x + ...
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txt alg035.txt

> restart; > # 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(
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txt alg062.txt

> restart; > # GAUSSIAN ELIMINATION WITH PARTIAL PIVOTING ALGORITHM 6.2 > # > # To solve the n by n linear system > # > # E1: A[1,1] X[1] + A[1,2] X[2] +...+ A[1,n] X[n] = A[1,n+1] > # E2: A[2
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txt alg091.txt

> restart; > # POWER METHOD ALGORITHM 9.1 > # > # To approximate the dominant eigenvalue and an associated > # eigenvector of the n by n matrix A given a nonzero vector x: > # > # INPUT: Dimen
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txt alg061.txt

> restart; > # GAUSSIAN ELIMINATION WITH BACKWARD SUBSTITUTION ALGOTITHM 6.1 > # > # To solve the n by n linear system > # > # E1: A[1,1] X[1] + A[1,2] X[2] +...+ A[1,n] X[n] = A[1,n+1] > # E2:
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txt alg092.txt

> restart; > # SYMMETRIC POWER METHOD ALGORITHM 9.2 > # > # To approximate the dominant eigenvalue and an associated > # eigenvector of the n by n symmetric matrix A given a nonzero vector x: > #
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txt alg093.txt

> restart; > # INVERSE POWER METHOD ALGORITHM 9.3 > # > # To approximate an eigenvalue and an associated eigenvector of the > # n by n matrix A given a nonzero vector x: > # > # INPUT: Dimensi