代码搜索：multi-dimensional
找到约 164 项符合「multi-dimensional」的源代码
代码结果 164
www.eeworm.com/read/198871/7905381
c storage.c
/***********************************************************************
*
* Handle storage allocation and deallocation for multi-dimensional
* arrays.
*
* Allocation routines return NULL o
www.eeworm.com/read/373628/9445528
index
MDSplot Multi-dimensional Scaling Plot of Proximity
matrix from randomForest
classCenter Prototypes of groups.
combine Combine En
www.eeworm.com/read/367152/9779998
m lans_plotgrad.m
% lans_plotgrad - Plot gradient in multi-dimensional space
%
% [] = lans_plotgrad(f,dfdq );
%
% _____INPUTS_____________________________________________________________
% f vecto
www.eeworm.com/read/100464/15873530
txt multidim_bsort.txt
//**************************************
//
// Name: multi-dimensional array bubble
// sort
// Description:Source code to sort a mul
// ti-dimensional array. Works with MSVC++
//
www.eeworm.com/read/159920/10588857
c amalloc.c
/*
AMALLOC - multi-dimensional malloc()
Allocates a multidimensional array dynamically, at runtime, so that
1: its elements can be accessed using multiple indirection
2: it can be dealloca
www.eeworm.com/read/258434/11864085
c amalloc.c
/*
AMALLOC - multi-dimensional malloc()
Allocates a multidimensional array dynamically, at runtime, so that
1: its elements can be accessed using multiple indirection
2: it can be dealloca
www.eeworm.com/read/341877/12056759
c amalloc.c
/*
AMALLOC - multi-dimensional malloc()
Allocates a multidimensional array dynamically, at runtime, so that
1: its elements can be accessed using multiple indirection
2: it can be dealloca
www.eeworm.com/read/130553/14186316
c amalloc.c
/*
AMALLOC - multi-dimensional malloc()
Allocates a multidimensional array dynamically, at runtime, so that
1: its elements can be accessed using multiple indirection
2: it can be dealloca
www.eeworm.com/read/424753/10415843
m ch8_4.m
% Model Identification This is a demonstration of subtractive clustering and
% how it can be used with multi-dimensional data.
% Copyright 1994-2002 The MathWorks, Inc. $Revision: 1.12 $
% Thi
www.eeworm.com/read/417999/10968842
m ch8_4.m
% Model Identification This is a demonstration of subtractive clustering and
% how it can be used with multi-dimensional data.
% Copyright 1994-2002 The MathWorks, Inc. $Revision: 1.12 $
% Thi