代码搜索：Multidimensional
找到约 559 项符合「Multidimensional」的源代码
代码结果 559
www.eeworm.com/read/414988/11087733
java ex20(2).java
// arrays/Ex20.java
// TIJ4, Chapter Arrays, Exercise 20, page 778
// Demonstrate deepEquals() for multidimensional arrays.
import java.util.*;
import static net.mindview.util.Print.*;
class A
www.eeworm.com/read/413419/11156852
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE
www.eeworm.com/read/247647/12638106
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE
www.eeworm.com/read/113029/15472061
cpp fig04_22.cpp
// Fig. 4.22: fig04_22.cpp
// Initializing multidimensional arrays.
#include
using std::cout;
using std::endl;
void printArray( int [][ 3 ] );
int main()
{
int array1[ 2 ][
www.eeworm.com/read/347161/11687015
readme
29/10/2003
This is Fortran archive package of Non-metric Multidimensional
Scaling Method (NMDS) developed by Y-h. Taguchi and Y. Oono.
Ver. 1.3.1
For installation, see INSTALL.
For instruction, see I
www.eeworm.com/read/343762/11928522
m mvaar.m
function [x,e,Kalman,Q2] = mvaar(y,p,UC,mode,Kalman)
% Multivariate (Vector) adaptive AR estimation base on a multidimensional
% Kalman filer algorithm. A standard VAR model (A0=I) is implemented. The
www.eeworm.com/read/227522/14421553
m mvaar.m
function [x,e,Kalman,Q2] = mvaar(y,p,UC,mode,Kalman)
% Multivariate (Vector) adaptive AR estimation base on a multidimensional
% Kalman filer algorithm. A standard VAR model (A0=I) is implemented. The
www.eeworm.com/read/273525/4208316
hlp y_mvmds.hlp
{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_mv:Multivariate analysis}
> {help y_mvrels:Multivariate relationships}
{bind:> {bf:Multidimensional scaling}}
{p_end}
{h
www.eeworm.com/read/422060/2044858
phpt schema060.phpt
--TEST--
SOAP XML Schema 60: SOAP 1.2 Multidimensional array (literal encoding)
--SKIPIF--
--FILE--
www.eeworm.com/read/422060/2044883
phpt schema028.phpt
--TEST--
SOAP XML Schema 28: SOAP 1.2 Multidimensional array
--SKIPIF--
--FILE--