javaeig的简单介绍
今天给各位分享javaeig的知识，其中也会对进行解释，如果能碰巧解决你现在面临的问题，别忘了关注本站，现在开始吧！
本文目录一览：
- 1、数据单位转换工具java代码
- 2、matlab与java混合编程有什么作用
- 3、请教高手：java，在myeclipse上调用jama包求矩阵特征值与特征向量的方法
- 4、求pca（PricipalComponentAnalysis）的java代码
数据单位转换工具java代码
import javax.swing.*;
import javax.swing.event.*;
import java.awt.*;
import java.awt.event.*;
public class UnitTransfer extends JFrame{
private final int WIDTH = 400, HEIGHT = 300;//窗口默认的宽度、高度
private JLabel lblInUnit=new JLabel("输入单位");
private JComboBox cboIn=new JComboBox(new String[]{"", ""});
private JLabel lblIn=new JLabel("输入数值");
private JTextField txtIn=new JTextField("10");
private JLabel lblOutUnit=new JLabel("输出单位");
private JLabel lblResult=new JLabel("显示结果");
private JLabel txtResult=new JLabel("结果");
private JComboBox cboOut=new JComboBox(new String[]{"", ""});
private JButton btnTrans = new JButton("转换");
private JButton btnClear = new JButton("清空");
private JRadioButton rdLeng = new JRadioButton("长度");
private JRadioButton rdWeig = new JRadioButton("时间");
private String [] lengthUnit={"米", "分米", "厘米", "毫米"};
private String [] timeUnit={"天", "时", "分", "秒"};
public UnitTransfer(){
super("简单的单位转换器 Beta");
this.setSize(WIDTH, HEIGHT);
this.setLayout(null);
this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
ButtonGroup group = new ButtonGroup();
group.add(rdLeng);
group.add(rdWeig);
this.getContentPane().add(rdLeng);
this.getContentPane().add(rdWeig);
this.getContentPane().add(btnTrans);
this.getContentPane().add(btnClear);
this.getContentPane().add(lblIn);
this.getContentPane().add(txtIn);
this.getContentPane().add(lblInUnit);
this.getContentPane().add(cboIn);
this.getContentPane().add(lblResult);
this.getContentPane().add(txtResult);
this.getContentPane().add(lblOutUnit);
this.getContentPane().add(cboOut);
this.setVisible(true);
this.doLayout();
btnTrans.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
doConvert();
}
});
btnClear.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
txtIn.setText("0");
txtResult.setText("0");
}
});
rdLeng.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
cboIn.setModel(new DefaultComboBoxModel(lengthUnit));
cboOut.setModel(new DefaultComboBoxModel(lengthUnit));
}
});
rdWeig.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
cboIn.setModel(new DefaultComboBoxModel(timeUnit));
cboOut.setModel(new DefaultComboBoxModel(timeUnit));
}
});
rdLeng.setSelected(true);
cboIn.setModel(new DefaultComboBoxModel(lengthUnit));
cboOut.setModel(new DefaultComboBoxModel(timeUnit));
}
final int offX=100;
public void doLayout(){
super.doLayout();
rdLeng.setBounds(offX, 15, 60, 20);
rdWeig.setBounds(rdLeng.getX()+rdLeng.getWidth()+5, 15, 60, 20);
lblInUnit.setBounds(offX, rdLeng.getY()+rdLeng.getHeight()+20, 80, 20);
cboIn.setBounds(lblInUnit.getX()+lblInUnit.getWidth()+5, lblInUnit.getY(), 80, 20);
lblIn.setBounds(offX, lblInUnit.getY()+lblInUnit.getHeight()+5, 80, 20);
txtIn.setBounds(lblIn.getX()+lblIn.getWidth()+5, lblIn.getY(), 80, 20);
lblOutUnit.setBounds(offX, lblIn.getY()+lblIn.getHeight()+30, 80, 20);
cboOut.setBounds(lblOutUnit.getX()+lblOutUnit.getWidth()+5, lblOutUnit.getY(), 80, 20);
lblResult.setBounds(offX, cboOut.getY()+cboOut.getHeight()+5, 80, 20);
txtResult.setBounds(lblResult.getX()+lblResult.getWidth()+5, lblResult.getY(), 100, 20);
int w=getWidth ();
int x=(w-70*2-5)/2;//水平居中
btnTrans.setBounds(x, lblResult.getY()+lblResult.getHeight()+30, 70, 25);
btnClear.setBounds(btnTrans.getX()+btnTrans.getWidth()+3, btnTrans.getY(), 70, 25);
}
public void doConvert(){
double v=0;
try{
v= Double.parseDouble(txtIn.getText());
}catch(Exception ex){
txtIn.setText("0");
return;
}
//"米", "分米", "厘米", "毫米"
if(rdLeng.isSelected()){
switch(cboIn.getSelectedIndex()){
case 0:
break;
case 1:
v=v/10;
break;
case 2:
v=v/100;
break;
case 3:
v=v/1000;
break;
default:
return;
}
//v 现在是标准单位：米
switch(cboOut.getSelectedIndex()){
case 0:
break;
case 1:
v=v*10;
break;
case 2:
v=v*100;
break;
case 3:
v=v*1000;
break;
default:
return;
}
if(v0.01){
txtResult.setText(String.format("%2.8f", v));
}else{
txtResult.setText(String.format("%2.2f", v));
}
}else{
//"天", "时", "分", "秒"
switch(cboIn.getSelectedIndex()){
case 0:
v=v*24;
break;
case 1:
break;
case 2:
v=v/60;
break;
case 3:
v=v/3600;
break;
default:
return;
}
//v 现在是标准单位：小时
switch(cboOut.getSelectedIndex()){
case 0:
v=v/24;
break;
case 1:
break;
case 2:
v=v*60;
break;
case 3:
v=v*3600;
break;
default:
return;
}
if(v0.01){
txtResult.setText(String.format("%2.8f", v));
}else{
txtResult.setText(String.format("%2.8f", v));
}
}
}
public static void main(String[] args){
EventQueue.invokeLater(new Runnable() {
public void run() {
new UnitTransfer();
}
});
}
}
//请参考，欢迎指正
matlab与java混合编程有什么作用
Java和matlab混合编程
如果用Matlab和java混合编程开发Windows的应用程序则可以实现优势互补，缩短开发时间，降低程序设计的复杂度。同时程序可以脱离Matlab环境独立运行，在工程计算和教学实践中都具有实际意义。
1.使用java调用Maltab函数的基本方法是：通过Java Builder实现Java调用Matlab。在Java环境中直接调用Matlab所生成的Jar包。
下面以在Java中产生任意维数的魔方矩阵，计算任意矩阵的特征向量和特征值，对两组数据进
行拟合并绘制拟合曲线三个实例来说明通过Java
Builder实现Java调用Matlab的过程。传统的纯Java编程实现上述实例非常复杂，甚至很难完成。这一问题在Matlab中只需要调用几个
函数即可完成。
1.1、将Matlab函数包装成Java类
首先在Matlab中编写三个M文件：
Eig.m
function [v,d]=Eig(input)
format long
[v,d]=eig(input);
End
Magic.m
function f =Magic( input )
f=magic(input);
end
Plot.m
function Plot(x,y )
p=polyfit(x,y,3);
t=min(x):max(x)/100:max(x);
s=polyval(p,t);
plot(x,y,'*',t,s);
title('数据拟合结果');
xlabel('x');
ylabel('y');
end
其次，在Matlab中新建一个Deployment
Project,名称为MyProject.prj，类型为Java
package。在Project中新建三个Class，分别为GetEig，GetMagic，PolyFit。将
Eig.m，Magic.m，plot.m分别添加到上述Class中。之后点击Builder the project，等待编译成功即可。
1.2、在Java中调用Matlab函数
新建一个Java类JavaMatlab，并引入相关的包。
import com.mathworks.toolbox.javabuilder.*;//引入Matlab相关包
import MyProject.*;//引入建立的包及类
调用时Java与Matlab之间的参数传递需要通过MWNumericArray完成。具体的调用代码如下：
package org.genius.ExpandJava;
import MyProject.*;
import com.mathworks.toolbox.javabuilder.*;
public class JavaMatlab {
public static void main(String[] args) {
MWNumericArray a = null; // 用于保存矩阵
MWNumericArray ax = null; // 用于保存矩阵
MWNumericArray ay = null; // 用于保存矩阵
Object[] result = null; // 用于保存计算结果
GetEig getEig = null;
GetMagic getMagic=null;
PolyFit polyFit=null;
int r = 4; // 魔方矩阵维数
int array[][]={{50,-20,0},{-20,80,60},{0,60,-70}};
double x[]={0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1};
double y[]={-0.447,1.978,3.28,6.16,7.08,7.34,7.66,9.56,9.48,9.3,11.2};
try {
//产生魔方矩阵并打印
a = new MWNumericArray(r, MWClassID.DOUBLE);
getMagic = new GetMagic();
result = getMagic.Magic(1,a);
System.out.println("产生的四维魔方矩阵:");
System.out.println(result[0]);
MWArray.disposeArray(result);
//计算所给矩阵的特征向量和特征值并打印结果
a = new MWNumericArray(array, MWClassID.DOUBLE);
getEig = new GetEig();
result = getEig.Eig(2, a);
System.out.println("原始矩阵:");
System.out.println(a.toString());
System.out.println("得到的特征向量:");
System.out.println(result[0]);
System.out.println("得到的特征值:");
System.out.println(result[1]);
MWArray.disposeArray(result);
ax = new MWNumericArray(x, MWClassID.DOUBLE);
ay = new MWNumericArray(y, MWClassID.DOUBLE);
polyFit = new PolyFit();
result=polyFit.Plot(ax,ay);
polyFit.waitForFigures();
} catch (Exception e) {
System.out.println("Exception: " + e.toString());
}
finally {
// 释放本地资源
MWArray.disposeArray(a);
MWArray.disposeArray(ax);
MWArray.disposeArray(ay);
MWArray.disposeArray(result);
getEig.dispose();
getMagic.dispose();
polyFit.dispose();
}
}
}
请教高手：java，在myeclipse上调用jama包求矩阵特征值与特征向量的方法
//导入jama的jar包
import Jama.Matrix;
public class Jama_Matrix {
public static void main(String[] args) {
double [][] array = {
{-1,1,0},
{-4,3,0},
{1 ,0,2}};
//定义一个矩阵
Matrix A = new Matrix(array);
//由特征值组成的对角矩阵
A.eig().getD().print(4,2);
//每一列对应的是一个特征向量
A.eig().getV().print(4,2);
double [][] arrayb = {
{1,-2,2},
{-2,-2,4},
{2 ,4,-2}};
Matrix B = new Matrix(arrayb);
B.eig().getD().print(4,2);
B.eig().getV().print(4,2);
}
}
建议使用matlab
求pca（PricipalComponentAnalysis）的java代码
package PCA;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import org.jblas.ComplexDoubleMatrix;
import org.jblas.DoubleMatrix;
import org.jblas.Eigen;
public class PCA {
/**
* Reduce matrix dimension 减少矩阵维度
* @param source 源矩阵
* @param dimension 目标维度
* @return Target matrix 返回目标矩阵
*/
public static void main(String[] args){
DoubleMatrix d = new DoubleMatrix(new double[][]{{-1,-1,0,2,0},
{-2,0,0,1,1}});
DoubleMatrix result = PCA.dimensionReduction(d, 2);
System.out.println(result);
}
public static DoubleMatrix dimensionReduction(DoubleMatrix source, int dimension) {
//C=X*X^t/m 矩阵*矩阵^异或/列数
DoubleMatrix covMatrix = source.mmul(source.transpose()).div(source.columns);
ComplexDoubleMatrix eigVal = Eigen.eigenvalues(covMatrix);
ComplexDoubleMatrix[] eigVectorsVal = Eigen.eigenvectors(covMatrix);
ComplexDoubleMatrix eigVectors = eigVectorsVal[0];
//通过特征值将符号向量从大到小排序
ListPCABean beans = new ArrayListPCA.PCABean();
for (int i = 0; i eigVectors.columns; i++) {
beans.add(new PCABean(eigVal.get(i).real(), eigVectors.getColumn(i)));
}
Collections.sort(beans);
DoubleMatrix newVec = new DoubleMatrix(dimension, beans.get(0).vector.rows);
for (int i = 0; i dimension; i++) {
ComplexDoubleMatrix dm = beans.get(i).vector;
DoubleMatrix real = dm.getReal();
newVec.putRow(i, real);
}
return newVec.mmul(source);
}
static class PCABean implements ComparablePCABean {
double eigenValue;
ComplexDoubleMatrix vector;
public PCABean(double eigenValue, ComplexDoubleMatrix vector) {
super();
this.eigenValue = eigenValue;
this.vector = vector;
}
@Override
public int compareTo(PCABean o) {
return Double.compare(o.eigenValue, eigenValue);
}
@Override
public String toString() {
return "PCABean [eigenValue=" + eigenValue + ", vector=" + vector + "]";
}
}
}
org.jblas的jar包去百度下一个，我不知道怎么上传文件
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发布于：2022-12-18，除非注明，否则均为原创文章，转载请注明出处。