代码搜索：minimum

找到约 5,594 项符合「minimum」的源代码

代码结果 5,594
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www.eeworm.com/read/164272/10120109

m clustie.m

function [c,newx,newy]=clustie(x,y,n); % % Clustering programme % % HELLO! % % Determine the maximum and minimum of each % input variable % xmax=max(x); xmin=min(x); xmean=mean(x); ran
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www.eeworm.com/read/358605/10183999

m~ simpsa.m~

function [X,FVAL,EXITFLAG,OUTPUT] = SIMPSA(FUN,X0,LB,UB,OPTIONS,varargin) %SIMPSA finds a minimum of a function of several variables using an algorithm % that is based on the combination of the non-l
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www.eeworm.com/read/358605/10184002

m simpsa.m

function [X,FVAL,EXITFLAG,OUTPUT] = SIMPSA(FUN,X0,LB,UB,OPTIONS,varargin) %SIMPSA finds a minimum of a function of several variables using an algorithm % that is based on the combination of the non-l
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www.eeworm.com/read/162415/10307456

m fmin.m

%FMIN Find minimum of f(x) % % x=fmin('f',xlow,xhigh,options) finds the value of x for which f(x) is % minimal in the range [xlow,xhigh]. % options is optional, giving the optimization arguments.
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www.eeworm.com/read/162135/10332234

m minwdegree.m

function index = minwdegree(G,J,a,b) % index = minlex(G,J,m) % % Find minimum polynomial with respect to (a,b) weighted degree. % Arguments are a list of polynomials G, indices to search over J % and
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www.eeworm.com/read/352445/10551843

m tcd.m

function d = tcd(x, nchirp, decf, intf); % tcd -- compute a time-chirp distribution % % Usage % d = tcd(x, nchirp, decf, intf) % % Inputs % x signal % nchirp minimum number of points
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www.eeworm.com/read/159601/10636086

m clustie.m

function [c,newx,newy]=clustie(x,y,n); % % Clustering programme % % HELLO! % % Determine the maximum and minimum of each % input variable % xmax=max(x); xmin=min(x); xmean=mean(x); ran
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www.eeworm.com/read/276537/10731495

m linear304.m

%% Linear Fit of Nonlinear Problem % A linear neuron is trained to find the minimum sum-squared error linear fit to % a nonlinear input/output problem. % % Copyright 1992-2002 The MathWorks, Inc.
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www.eeworm.com/read/349916/10782853

m clustie.m

function [c,newx,newy]=clustie(x,y,n); % % Clustering programme % % HELLO! % % Determine the maximum and minimum of each % input variable % xmax=max(x); xmin=min(x); xmean=mean(x); ran
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www.eeworm.com/read/275640/10805271

m4 ax_boost_base.m4

##### http://autoconf-archive.cryp.to/ax_boost_base.html # # SYNOPSIS # # AX_BOOST_BASE([MINIMUM-VERSION]) # # DESCRIPTION # # Test for the Boost C++ libraries of a particular version (or newer) #
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