代码搜索：normal
找到约 10,000 项符合「normal」的源代码
代码结果 10,000
www.eeworm.com/read/486092/6543297
s math.s
//
// math.s
// x86 assembly-language math routines.
#define GLQUAKE 1 // don't include unneeded defs
#include "qasm.h"
#if id386
.data
#if 0
.align 4
Ljmptab: .long Lcase0, Lcase
www.eeworm.com/read/342008/12046849
m udc.m
%UDC Uncorrelated normal based quadratic Bayes classifier
%
% W = udc(A)
%
% Computation a quadratic classifier between the classes in the
% dataset A assuming normal densities with uncorrelated f
www.eeworm.com/read/121526/14753959
s math.s
//
// math.s
// x86 assembly-language math routines.
#define GLQUAKE 1 // don't include unneeded defs
#include "qasm.h"
#if id386
.data
#if 0
.align 4
Ljmptab: .long Lcase0, Lcase
www.eeworm.com/read/166734/5473588
s vm_x86a.s
/*
===========================================================================
Copyright (C) 1999-2005 Id Software, Inc.
This file is part of Quake III Arena source code.
Quake III Arena sourc
www.eeworm.com/read/293183/8310215
m udc.m
%UDC Uncorrelated normal based quadratic Bayes classifier
%
% W = udc(A)
%
% Computation a quadratic classifier between the classes in the
% dataset A assuming normal densities with uncorrelated f
www.eeworm.com/read/448594/7529102
txt c++跑出1000個為normal distribution.txt
//DevC++ 4.9(g++ 3.4.2)
Source code
#include
#include
#include
using namespace std;
double uniform();
double rejection();
const int MAX=1000000;
int main()
{
sra
www.eeworm.com/read/101085/15852931
cpp triangle.cpp
#include "triangle.h"
// TODO: Store points and normal + cached public ones
GcTriangle::GcTriangle()
{
}
GcTriangle::GcTriangle( triType tA, triType tB, triType tC ) : a(tA), b(tB), c(tC)
www.eeworm.com/read/139650/13145110
m evolve2d.m
function [phi] = evolve2D(phi, dx, dy, alpha, iterations, accuracy, is_signed_distance, normal_evolve, Vn, vector_evolve, u, v, kappa_evolve, b)
%
% function [phi] = evolve2D(phi, dx, dy, iterations
www.eeworm.com/read/294695/8211054
m evolve2d.m
function [phi] = evolve2D(phi, dx, dy, alpha, iterations, accuracy, is_signed_distance, normal_evolve, Vn, vector_evolve, u, v, kappa_evolve, b)
%
% function [phi] = evolve2D(phi, dx, dy, iterations