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找到约 10,000 项符合「fprintf」的源代码

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m tfbss.m

function [Se,Ae]=tfbss(X,n,Nt,Nf,tol) % TFBSS Blind Source Separation of (over)determined multiplicative mixtures % of non-stationary real-valued sources. % % Usage: [Se,Ae]=tfbss(X,n,Nt,Nf,to
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m demopt1.m

function demopt1(xinit) %DEMOPT1 Demonstrate different optimisers on Rosenbrock's function. % % Description % The four general optimisers (quasi-Newton, conjugate gradients, % scaled conjugate gr
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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
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txt alg065.txt

> restart; > # LDL^t ALGORITHM 6.5 > # > # To factor the positive definite n by n matrix A into LDL**T, > # where L is a lower triangular matrix with ones along the diagonal > # and D is a diagon
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txt alg064.txt

> restart; > # DIRECT FACTORIZATION ALGORITHM 6.4 > # > # To factor the n by n matrix A = (A(I,J)) into the product of the > # lower triangular matrix L = (L(I,J)) and the upper triangular > # ma
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txt alg034.txt

> restart; > # 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) <