代码搜索：Vector
找到约 10,000 项符合「Vector」的源代码
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www.eeworm.com/read/138838/13208576
mdl ann.mdl
Library {
Name "ann"
Version 3.00
BlockDataTips off
BlockParametersDataTip off
BlockAttributesDataTip off
BlockPortWidthsDataTip off
BlockDescriptionStringDataTip off
www.eeworm.com/read/240523/13215756
m interp1.m
function yi = interp1(varargin)
% yi=interp1(x,y,xi)根据数据(x,y)给出在xi的线性插值结果yi.
% yi=interp1(x,y,xi,'spline')使用三次样条插值.
% yi=interp1(x,y,xi,'cubic')使用三次插值.
% 例如
% clear;close;fplot('sin',[0,2*pi]);
www.eeworm.com/read/138268/13243535
m mmono.m
function f=mmono(x)
%MMONO Test for Monotonic Vector.
% MMONO(X) where X is a vector returns:
% 2 if X is strictly increasing,
% 1 if X is non decreasing,
% -1 if X is non increasing,
%
www.eeworm.com/read/238746/13327472
m lmssca.m
function sca=LMSsca(X,loc,p)
%Syntax: sca=LMSsca(X,loc,p)
%___________________________
%
% Calculates the Least Median of Squares (LMS) scale parameter
% of the columns of a matrix X.
%
% sca
www.eeworm.com/read/238746/13327474
m lmspol.m
function [LMSout,blms,Rsq]=LMSpol(y,p,x)
%Syntax: [LMSout,blms,Rsq]=LMSpol(y,p,x)
%_______________________________________
%
% Calculates the Least Median of Squares (LMS) polynomial regression
%
www.eeworm.com/read/238746/13327485
m lmspolor.m
function [LMSout,blms,Rsq]=LMSpolor(y,p,x)
%Syntax: [LMSout,blms,Rsq]=LMSpolor(y,p,x)
%_________________________________________
%
% Calculates the Least Median of Squares (LMS) polynomial regress
www.eeworm.com/read/238746/13327496
m lmsregor.m
function [LMSout,blms,Rsq]=LMSregor(y,X)
%Syntax: [LMSout,blms,Rsq]=LMSregor(y,X)
%_______________________________________
%
% Calculates the Least Median of Squares (LMS) simple/multiple
% regre
www.eeworm.com/read/137160/13341955
m findnlab.m
%FINDNLAB Determine indices of specified classes (numeric)
%
% J = FINDNLAB(A,NLAB)
%
% INPUT
% A Dataset
% NLAB vector with numerical indices of reqested classes
%
% OUTPUT
%
www.eeworm.com/read/136697/13365270
m aggregat.m
function A = aggregat(Ae,Ade,FAMbank,aggop)
% A = aggregat(Ae,Ade,FAMbank,aggop)
%
% A = [a1, a2,...,aj,...,am] with aj=aggop(aj1,aj2,...,aji,...,ajn).
% This function realizes the "AND" in the adce