代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/263889/11337697
m ssainv.m
function xr=SSAinv(pc,v,tau,k)
%Syntax: xr=SSAinv(pc,v,tau,k)
%_____________________________
%
% The inverse of Singular Spectrum Analysis for a time series.
%
% xr is the reconstructed time ser
www.eeworm.com/read/263879/11338279
m polyfit.m
function [p,S] = polyfit(x,y,n)
%p=polyfit(x,y,k)用k次多项式拟合向量数据(x,y)
%p返回多项式的降幂系数.当k>=n-1时,polyfit实现多项式插值.
%例如 用二次多项式拟合数据
% x | 0.1 0.2 0.15 0.0 -0.2 0.3
% --|-----------------------------
www.eeworm.com/read/263786/11342143
txt id3.txt
有如下形式的样本，请问用ID3算法生成决策树的时候，怎样构造节点 NODE 的数据结构阿？
field_1 field_2 field_3 level
A1 B1 C1 V1
A2 B1 C1 V1
A1 B2 C1 V3
A3 B1 C2 V2
A3 B1 C3 V2
A3 B1 C3 V3
(field_1 field_2 field_3 都
www.eeworm.com/read/263512/11359842
cpp linear_gy.cpp
#include
#include
#include
float matrix[100][100],x[100]; /* 记录总方程的数组,解的数组 */
int a[100]; /* 记录基础,非基础的解的情况,0:非基础,1:基础 */
int m,n,s,type; /* 方程变量,约束数,求最大最小值的类型,0:最小 1:
www.eeworm.com/read/408779/11369857
m sima1.m
function [nw,a1,i] = sima1(w,p,lr,rho,pf)
%SIMA1 ART1 simulation function.
% Each input vector is presented to the network one at a time.
% (See COMPET, HARDLIM)
%
% [NW,A1,
www.eeworm.com/read/262576/11399579
cpp proto.cpp
// PROTO.cpp: implementation of the PROTO class.
//
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
#include
#include
#include
www.eeworm.com/read/407606/11413786
java mesh_pnt.java
/**
* Points in Euclidean space, implemented as double[].
*
* Includes simple geometric operations.
* Uses matrices; a matrix is represented as an array of Pnts.
* Uses simplices; a simpl
www.eeworm.com/read/407518/11417913
c complete.c
#include
#include
int main()
{
int array[20][100];
int n[20],temp[100];
char b[100];
int a=0;
FILE * file;
int i=0, j=0, p=0, q=0, m=0, sum=0, c=0;
char mytemp;
www.eeworm.com/read/407295/11422480
m kf_loop.m
%KF_LOOP Performs the prediction and update steps of the Kalman filter
% for a set of measurements.
%
% Syntax:
% [MM,PP] = KF_LOOP(X,P,H,R,Y,A,Q)
%
% In:
% X - Nx1 initial estimate f