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找到约 10,000 项符合「usage」的源代码

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3 getstdchan.3

'\" '\" Copyright (c) 1996 by Sun Microsystems, Inc. '\" '\" See the file "license.terms" for information on usage and redistribution '\" of this file, and for a DISCLAIMER OF ALL WARRANTIES. '\" '\"
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3 toupper.3

'\" '\" Copyright (c) 1997 by Sun Microsystems, Inc. '\" '\" See the file "license.terms" for information on usage and redistribution '\" of this file, and for a DISCLAIMER OF ALL WARRANTIES. '\" '\"
www.eeworm.com/read/166515/10017172

m matlabshibbsr.m

function B = shibbs(X,m) % % Developpment version %================================================================ % Blind separation of real signals with SHIBBS. Version 1.5 Dec. 1997. % % Usage
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m kscritical.m

function crit=kscritical(n,pvalue); % PURPOSE: % This is a helper function for kolmorgorov that returns the appropriate critical value. % % USAGE: % crit=kscritical(n,pvalue) % % INPU
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m garcheviewslikelihood.m

function [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q, m, stdEstimate) % PURPOSE: % Likelihood and analytic derivatives for garchpq % % USAGE: %
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m garchlikelihood.m

function [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q, m, stdEstimate) % PURPOSE: % Likelihood and analytic derivatives for garchpq % % USAGE: %
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m funf424.m

function y = funf424 (a,x,k) %-------------------------------------------------------------- % Usage: y = funf424 (a,x,k) % % Description: Evaluate kth Lagrange interpolating polynomial %
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m ftstiff.m

function dfdt = ftstiff (t,x,f) %---------------------------------------------------------------------- % Usage: dfdt = ftstiff (t,x,f) % % Description: Estimate df(t,x)/dt numerically usin
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m plotxyz.m

function plotxyz (x,y,Z,caption,xaxis,yaxis,zaxis) %---------------------------------------------------------------- % Usage: plotxyz (x,y,Z,caption,xaxis,yaxis,zaxis) % % Description: Plot
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m gradfmu.m

function g = gradfmu (f,p,q,x,mu) %----------------------------------------------------------------------- % Usage: g = gradfmu (f,p,q,x,mu) % % Description: Numerically approximate the grad