代码搜索：Multiplication
找到约 1,176 项符合「Multiplication」的源代码
代码结果 1,176
www.eeworm.com/read/480818/6662260
dat gf16.dat
2 4
16 1
FIELD_ELEMENTS:
0 0 0 0
0 0 0 1
0 0 1 0
0 1 0 0
1 0 0 0
0 0 1 1
0 1 1 0
1 1 0 0
1 0 1 1
0 1 0 1
1 0 1 0
0 1 1 1
1 1 1 0
1 1 1 1
1 1 0 1
1 0 0 1
ADDITION_TAB
www.eeworm.com/read/480818/6662269
dat gf2^4.dat
2 1
2 4
FIELD_ELEMENTS:
0
1
ADDITION_TABLE:
0 1
0
MULTIPLICATION_TABLE:
0 0
1
INVERSES_FOR_ADDITION:
0 1
INVERSES_FOR_MULTIPLICATION:
0 1
$
FIELD_ELEMENTS:
0 0 0 0
0 0 0 1
www.eeworm.com/read/427960/8909897
tpl mrcomba2.tpl
/*
* MIRACL Comba's method for ultimate speed binary polynomial
* mrcomba2.tpl
*
* Here the inner loops of the basic multiplication, and squaring
* algorithms are completely unrav
www.eeworm.com/read/376297/9321691
m monter calor.m
% Example Monte Carlo Simulation in Matlab
% Function: y = x2^2/x1
%
% Generate n samples from a normal distribution
% r = ( randn(n,1) * sd ) + mu
% mu : mean
% sd : standard deviation
www.eeworm.com/read/366337/9820825
m example_monte_carlo_simulationin_matlab.zip.m
% Example Monte Carlo Simulation in Matlab
% Function: y = x2^2/x1
%
% Generate n samples from a normal distribution
% r = ( randn(n,1) * sd ) + mu
% mu : mean
% sd : standard deviation
%
% Ge
www.eeworm.com/read/470912/6901680
txt 2005s9771-feature.txt
By considering plots and the importants of attributes 4 features were extracted from 8 attributes.
Features are;
mit
Score of discriminant analysis of the amino acid content of the N-te
www.eeworm.com/read/460712/7105669
m mulcp.m
function [P]=mulcp(P1,P2,typ)
% MULCP Multiplication of two complex matrices.
% MULCP(P1,P2) produces the corrleated multiplication of P1 and P2.
%
% MULCP(P1,P2,FLAG) produces the use
www.eeworm.com/read/457161/7333443
cpp observerdesignpatt.cpp
/*
BE Comp H
Title:Observer Design Pattern
*/
#include
#include
#include
static int i;
class Subject {
int a,b;
public:
void setVal( int x,int y
www.eeworm.com/read/443968/7619784
m montocalo.m
% Example Monte Carlo Simulation in Matlab
% Function: y = x2^2/x1
%
% Generate n samples from a normal distribution
% r = ( randn(n,1) * sd ) + mu
% mu : mean
% sd : standard devi
www.eeworm.com/read/439271/7713199
m mulcp.m
function [P]=mulcp(P1,P2,typ)
% MULCP Multiplication of two complex matrices.
% MULCP(P1,P2) produces the corrleated multiplication of P1 and P2.
%
% MULCP(P1,P2,FLAG) produces the use