代码搜索：optimisation
找到约 403 项符合「optimisation」的源代码
代码结果 403
www.eeworm.com/read/487590/6506026
vhd t42.vhd
--
-- This file tests support for the use of the don't care "----" to perform optimisation.
-- This notation should indicate to your synthesis tool to optimize the logic for the remaining
-- cases
www.eeworm.com/read/342008/12046971
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,h,e] = parzenc(A)
%
% Computation of the optimum smoothing parameter h for the Parzen
% classifier between the classes in the dataset A. The l
www.eeworm.com/read/383065/2622783
c attr.c
/*
* attr.c
*
* Description:
* This translation unit agregates operations on thread attribute objects.
* It is used for inline optimisation.
*
* The included modules are used separately
www.eeworm.com/read/293183/8310304
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,h,e] = parzenc(A)
%
% Computation of the optimum smoothing parameter h for the Parzen
% classifier between the classes in the dataset A. The l
www.eeworm.com/read/175598/9540542
c pthread.c
/*
* pthread.c
*
* Description:
* This translation unit agregates pthreads-win32 translation units.
* It is used for inline optimisation of the library,
* maximising for speed at the expense of
www.eeworm.com/read/417321/10994798
c pthread.c
/*
* pthread.c
*
* Description:
* This translation unit agregates pthreads-win32 translation units.
* It is used for inline optimisation of the library,
* maximising for speed at the expense of
www.eeworm.com/read/483114/6609682
m smosvctutor.m
function tutor = smosvctutor1(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%
www.eeworm.com/read/483114/6609685
asv smosvctutor.asv
function tutor = smosvctutor1(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%
www.eeworm.com/read/483114/6609688
m smosvctutor1.m
function tutor = smosvctutor1(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%
www.eeworm.com/read/483114/6609758
asv smosvctutor.asv
function tutor = smosvctutor1(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%