代码搜索:zero

找到约 10,000 项符合「zero」的源代码

代码结果 10,000
www.eeworm.com/read/155543/11864133

m df2latcf.m

function [K] = df2latcf(a) % FIR Direct form to All-Zero Lattice form Conversion % --------------------------------------------------- % [K] = df2latcf(a) % K = Lattice filter coefficients (refle
www.eeworm.com/read/257010/11960384

m zbuild.m

% This program forms the complex bus impedance matrix by the method % of building algorithm. Bus zero is taken as reference. % Copyright (c) 1998 by H. Saadat function [Zbus] = zbuild(linedata
www.eeworm.com/read/257010/11960442

m lgfault.m

% The program lgfault is designed for the single line-to-ground % fault analysis of a power system network. The program requires % the positive-, negative- and zero-sequence bus impedance matrices,
www.eeworm.com/read/257010/11960519

m dlgfault.m

% The program dlgfault is designed for the double line-to-ground % fault analysis of a power system network. The program requires % the positive-, negative- or zero-sequence bus impedance matrices,
www.eeworm.com/read/343120/11974465

c ip.c

/* IP functions NOTE: replace sizeof(ARPKT) with ARPLEN!! Debug option to send IP datagrams with a dummy 'options' field */ #define BIGHEAD 0 /* Set non-zero to send datagrams with large
www.eeworm.com/read/255721/12062238

c net.c

/* Debug option: reverse the order in which IP fragments are sent */ #define SUBFIRST 0 /* Set non-zero to transmit subframes first */ /* Debug options to drop frames on transmit or receive */ #de
www.eeworm.com/read/255708/12063746

c ping.c

/* Ping utility */ #define VERSION "0.18" /* Debug option to use structured data (alphabetic chars 'a'-'w') */ #define ASCDATA 1 /* Set non-zero to use ASCII (not random) data in ping */ #
www.eeworm.com/read/152112/12139044

m regula.m

function [c,err,yc]=regula(f,a,b,delta,epsilon,max1) %Input - f is the function input as a string 'f' % - a and b are the left and right endpoints % - delta is the tolerance for the zero %
www.eeworm.com/read/151556/12201352

m regula.m

function [c,err,yc]=regula(f,a,b,delta,epsilon,max1) %Input - f is the function input as a string 'f' % - a and b are the left and right endpoints % - delta is the tolerance for the zero %
www.eeworm.com/read/339624/12216474

m naivebayes.m

function [predict, accuracy] = NaiveBayes(Train, Test) %Input: Training set and testing set, each row represents a instance, last column is label, begins from zero %Output:predict label by NaiveBaye