代码搜索：optional
找到约 6,947 项符合「optional」的源代码
代码结果 6,947
www.eeworm.com/read/162415/10307478
m constr.m
%CONSTR Contrained optimization
%
% x=constr('f',x0,options,xlow,xhigh,'g') finds the value of x for which
% the first output of f is minimal in the range constrained by f second output.
% f(x) s
www.eeworm.com/read/352445/10552120
m smooth1.m
function [tfd, t, f] = smooth1(x, fs, sigma, nfreq)
% smooth1 -- Compute samples of a Guassian smoothed Wigner distribution
%
% Usage
% [tfd, t, f] = smooth1(x, fs, sigma, nfreq)
%
% Inputs
%
www.eeworm.com/read/352445/10552182
m page2.m
function [tfd, t, f] = page2(x, fs, nfreq)
% page2 -- Compute samples of the type II Page distribution.
%
% Usage
% [tfd, t, f] = page2(x, fs, nfreq)
%
% Inputs
% x signal vector
% fs
www.eeworm.com/read/352445/10552199
m binomial2.m
function [tfd, t, f] = binomial2(x, fs, nfreq, wlen)
% binomial2 -- Compute samples of the type II binomial distribution.
%
% Usage
% [tfd, t, f] = binomial2(x, fs, nfreq, wlen)
%
% Inputs
% x
www.eeworm.com/read/422948/10599807
bas module1.bas
Attribute VB_Name = "BASIC"
Option Explicit
'////////////////////////API////////////////////////////////////////////
Public Declare Function GetTickCount Lib "kernel32" () As Long
Public
www.eeworm.com/read/351797/10609816
m train.m
function net = train(tutor, x, y, C, kernel, zeta, net)
% TRAIN
%
% Train a support vector classification network, using the sequential minimal
% optimisation algorithm.
%
% net = train(tut
www.eeworm.com/read/159495/10645438
bas basregistry.bas
Attribute VB_Name = "basRegistry"
Option Explicit
Const DCP_AUTHN_LEVEL_DEFAULT = 0
Const DCP_AUTHN_LEVEL_NONE = 1
Const DCP_AUTHN_LEVEL_CONNECT = 2
Const DCP_AUTHN_LEVEL_CALL = 3
Const DCP_AU
www.eeworm.com/read/350737/10714195
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