代码搜索：initialise
找到约 1,377 项符合「initialise」的源代码
代码结果 1,377
www.eeworm.com/read/222893/14668494
c transform.c
/*
* FUNCTION
* otr = transform(itr,tmx)
*
* DESCRIPTION
* transform 3D-tensor (Euclidean or Cartesion tensor) of any order (>0) to another coordinate system
*
* PARAMETERS
* otr = out
www.eeworm.com/read/148396/12468143
s init.s
# This module initializes BSS section, stack pointers and interrupts for each mode,
# and finally branches to main in the C library (which eventually calls main()).
#
# On reset, the ARM core star
www.eeworm.com/read/148395/12468215
s init.s
# This module initializes BSS section, stack pointers and interrupts for each mode,
# and finally branches to main in the C library (which eventually calls main()).
#
# On reset, the ARM core star
www.eeworm.com/read/113753/15448957
asm c200user.asm
;*H*************************************************************************
; TI Proprietary Information - Internal Data
; Copyright (c) 1993-1999, Texas Instruments Incorporated
; All rights rese
www.eeworm.com/read/109665/15552535
s init.s
; Copyright ARM Ltd 1999. All rights reserved.
;
; Based upon the ARM Developer Suite example embed/rom
; Part's are:
; Copyright (c) Altera Corporation 2000.
; All rights reserved.
;
;
;
www.eeworm.com/read/455096/7378163
java permutation.java
package crypt;
public class Permutation {
int[] shuffled; // shuffled sequence
// The constructor of class Permutation creates a shuffled
// sequence of the integers 0 ... (size-1).
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m contents.m
% HMMBOX, version 3.3, Iead Rezek, Oxford University, February 2001
% Matlab toolbox for Max. Aposteriori estimation of Hidden Markov Models
%
% (Adapted from Hidden Markov Toolbox
% Version 3.2 01-O
www.eeworm.com/read/196840/8055029
m contents.m
% HMMBOX, version 3.3, Iead Rezek, Oxford University, February 2001
% Matlab toolbox for Max. Aposteriori estimation of Hidden Markov Models
%
% (Adapted from Hidden Markov Toolbox
% Version 3.2 01-O
www.eeworm.com/read/196836/8055207
m contents.m
% HMMBOX, version 3.2, William Penny, Imperial College, October 1998
% Matlab toolbox for Hidden Markov Models
%
% (Adapted from Machine Learning Toolbox
% Version 1.0 01-Apr-96
% Copyright (c) by Zo
www.eeworm.com/read/196832/8055358
m contents.m
% CHMMBOX, version 1.2, Iead Rezek, Oxford University, February 2001
% Matlab toolbox for Max. aposteriori estimation of two chain Coupled
% Hidden Markov Models
%
% (Adapted from Hidden Markov Toolbo