这是一个类，我没有在项目中包含所有其他类。 我需要初始化方法“public boolean action（Event e，Object arg）”但我不知道如何初始化进行参数的方法。
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package finalpkg;
import java.awt.*;
import javax.swing.*;
public class SimplexTool extends JApplet {
private static final long serialVersionUID = 1L;
public static void main (String[] arg){
SimplexTool applet = new SimplexTool();
final JFrame home = new JFrame("Start");
home.setContentPane(applet.getContentPane());
home.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
home.pack();
home.setSize(200, 350);
home.setLocation(450,200);
home.setVisible(true);
applet.init();
applet.start();
}
int numConstraints;
int numVariables;
revisedSimplex LP;
problemDimensionWindow DimensionWindow;
enterDataFrame dataFrame;
numberCrunchingFrame activeCruncher, oldCruncher;
About aboutWindow;
float coefficients[] = new float[33];
int SolveStatus;
Button start = new Button("New Problem");
Button end = new Button("Quit");
Button about = new Button("About");
Button help = new Button("Help");
@Override
public void init()
{
super.init();
this.setBackground(Color.gray);
this.setLayout(new GridLayout(0,1,0,0));
start.setBackground(Color.lightGray);
end.setBackground(Color.lightGray);
about.setBackground(Color.lightGray);
help.setBackground(Color.lightGray);
this.add(start);
this.add(about);
this.add(help);
this.add(end);
aboutWindow = new About(this);
} /* end init procedure */
@SuppressWarnings("deprecation")
@Override
public boolean action(Event e, Object arg)
{
if (e.target instanceof Button) {
if (e.target == start) {
if (dataFrame != null) dataFrame.dispose();
if (activeCruncher != null) activeCruncher.dispose();
if (LP != null) LP.reset(numVariables, numConstraints);
DimensionWindow = new problemDimensionWindow(this,"Enter the Sizes");
DimensionWindow.pack();
DimensionWindow.show();
start.disable();
return true; /* handled this event */
}
if (e.target == end) {
if (DimensionWindow != null) DimensionWindow.dispose();
if (dataFrame != null) dataFrame.dispose();
if (activeCruncher != null) activeCruncher.dispose();
if (aboutWindow != null) aboutWindow.dispose();
if (!start.isEnabled()) start.enable();
if (!about.isEnabled()) about.enable();
return true; /* handled this event */
}
if (e.target == about) {
about.disable();
if (!aboutWindow.isShowing()) aboutWindow.show();
return true; /* handled this event */
}
} /* end if instanceof Button */
return false; /* return false if we do not handle event */
} /* end action procedure */
@SuppressWarnings("deprecation")
public void update(problemDimensionWindow InputWindow)
{
try {
numVariables =
Integer.valueOf(InputWindow.numVariables.getText()).intValue();
numConstraints =
Integer.valueOf(InputWindow.numConstraints.getText()).intValue();
if (numVariables >= 2 && numConstraints >= 2 &&
numVariables <= 7 && numConstraints <= 7) {
InputWindow.dispose();
LP = new revisedSimplex(numVariables, numConstraints);
dataFrame = new enterDataFrame(this, "Enter Your Profit maximisation Linear Program!",
numVariables, numConstraints);
dataFrame.Messages.setText("Press Preprocess to Begin.");
dataFrame.Messages.getAlignmentX();
dataFrame.pack();
dataFrame.show();
start.enable();
}
else {
if (numVariables > 7 || numVariables < 2)
InputWindow.reminderVar.setBackground(Color.red);
else
InputWindow.reminderVar.setBackground(Color.lightGray);
if (numConstraints > 7 || numConstraints < 2)
InputWindow.reminderCon.setBackground(Color.red);
else
InputWindow.reminderCon.setBackground(Color.lightGray);
}
}
catch (NumberFormatException e) {}
} /* end update procedure */
@SuppressWarnings("deprecation")
public void update(numberCrunchingFrame LPWindow, boolean OneStepOnly)
{
if (OneStepOnly) {
SolveStatus = LP.iterateOneStep();
activeCruncher.updatePanelsForOneStep();
if (LP.CurrentStep == 0)
LPWindow.iterate.enable();
}
else { /* perform one complete iteration */
activeCruncher.Messages.setText("click view results to proceed");
SolveStatus = LP.iterate();
activeCruncher.updateAllPanels();
}
/* Check return status and take action if necessary */
switch (SolveStatus) {
case 3: /*LP.Unbounded: */
activeCruncher.Messages.setText("The problem is unbounded.");
LPWindow.iterate.disable();
LPWindow.step.disable();
start.enable();
break;
case 1: /*LP.Optimal:*/
if (LP.ArtificialAdded == false) {
activeCruncher.Messages.setText
("This is the maximum Profit!!!");
dataFrame.Messages.setText("");
LPWindow.updateAllPanels();
LPWindow.iterate.disable();
LPWindow.step.disable();
start.enable();
} else { /* artificial variables were added (in phase I) */
/* if it passes this if test, then the problem is feasible */
/*** ADD CODE HERE TO TEST WHEN ARTIFICIALS ARE STILL IN BASIS ***/
if (LP.calculateObjective() == 0) {
if (LP.NumArtificials > 0) {
System.out.print ("Even though 0 objective, there are");
System.out.println(" still artificials in basis.");
}
System.out.println("Calling getRidOfArtificials");
LP.getRidOfArtificials();
System.out.println("Called getRidOfArtificials");
activeCruncher.Messages.setText
("Artificial Variables Eliminated\nGetting New Window");
oldCruncher = activeCruncher;
activeCruncher = new numberCrunchingFrame(this, "Final Stage",LP);
oldCruncher.dispose();
activeCruncher.Messages.setText
("Continuing With Original Problem, click view results to proceed");
dataFrame.Messages.setText("In Final Stage");
} else {
activeCruncher.Messages.setText("The Problem is infeasible.");
LPWindow.iterate.disable();
LPWindow.step.disable();
start.enable();
}
}
break;
} /* end switch (SolveStatus) */
} /* end update procedure */
public boolean ReadDataAndPreprocess(int numVariables, int numConstraints)
{
/* Specify the objective function */
float rhs;
LP.reset(numVariables, numConstraints); /* reset LP class for reading */
for (int i = 0; i < numVariables; i++) {
if (dataFrame.objective[i].isNumber())
coefficients[i] = dataFrame.objective[i].getFloat();
else {
/* error in reading data, notify user */
dataFrame.Messages.setText("Error: Objective x"+(i+1));
return false;
}
}
if (dataFrame.minmax.getSelectedIndex() == 0)
LP.specifyObjective(coefficients, true); /* minimize */
else
LP.specifyObjective(coefficients, false); /* maximize */
/* Let the SimplexTool Class know about the constraints */
for (int i = 0; i < numConstraints; i++) {
/*LP.showInfo();*/
for(int j = 0; j < numVariables; j++) {
if (dataFrame.constraint[i][j].isNumber())
coefficients[j] = dataFrame.constraint[i][j].getFloat();
else {
dataFrame.Messages.setText
("Error: Constraint "+(i+1)+" in x"+(j+1));
return false;
}
} /* end for j */
if (dataFrame.rhs[i].isNumber())
rhs = dataFrame.rhs[i].getFloat();
else {
dataFrame.Messages.setText("Error: Constraint "+(i+1)+ "RHS");
return false;
}
LP.addConstraint(coefficients, rhs,
dataFrame.rowType[i].getSelectedIndex());
} /* end for i loop */
/* Now that we have the data, perform preprocessing */
LP.preprocess(numVariables, numConstraints);
dataFrame.setEditable(false);
dataFrame.Messages.setText("Starting to compute the optimal profit");
/*if (LP.artificialPresent) {*/
if (LP.NumArtificials > 0) {
activeCruncher = new numberCrunchingFrame(this, "P",LP);
dataFrame.Messages.setText("Starting ");
}
else {
activeCruncher = new numberCrunchingFrame(this, "Results",LP);
dataFrame.Messages.setText("Starting to find the results");
}
return true; /* successful completion */
} /* End ReadDataAndPreprocess */
public void constrain(Container container, Component component,
int grid_x, int grid_y, int grid_width,
int grid_height,
int fill, int anchor, double weight_x, double weight_y,
int top, int left, int bottom, int right)
{
GridBagConstraints c = new GridBagConstraints();
c.gridx = grid_x; c.gridy = grid_y;
c.gridwidth = grid_width; c.gridheight = grid_height;
c.fill = fill; c.anchor = anchor;
c.weightx = weight_x; c.weighty = weight_y;
if (top+bottom+left+right > 0)
c.insets = new Insets(top, left, bottom, right);
((GridBagLayout)container.getLayout()).setConstraints(component, c);
container.add(component);
} /* end constrain procedure */
public void constrain(Container container, Component component,
int grid_x, int grid_y, int grid_width,
int grid_height) {
constrain(container, component, grid_x, grid_y,
grid_width, grid_height, GridBagConstraints.NONE,
GridBagConstraints.NORTHWEST, 0.0, 0.0, 0, 0, 0, 0);
} /* end constrain procedure */
public void constrain(Container container, Component component,
int grid_x, int grid_y, int grid_width, int grid_height,
int top, int left, int bottom, int right)
{
constrain(container, component, grid_x, grid_y,
grid_width, grid_height, GridBagConstraints.NONE,
GridBagConstraints.NORTHWEST,
0.0, 0.0, top, left, bottom, right);
} /* end constrain procedure */
} /* end SimplexTool class */
答案 0 :(得分：0)
Applets 没有main（）方法。
答案 1 :(得分：0)
您可能误解了 Applet类架构/框架。
阅读教程 - Lesson: Java Applets。
Java applet是一种特殊的Java程序，支持浏览器 使用Java技术可以从互联网上下载并运行。小程序 通常嵌入在网页中并在a的上下文中运行 浏览器。 applet必须是java.applet.Applet类的子类。 Applet类提供applet之间的标准接口 和浏览器环境。
运行/启动applet：
<applet code="finalpkg.SimplexTool" width="200" height="200"></applet>代码html文档。 PS：
实际上，您可以通过扩展GUI Application将您的计划转换为JFrame。