algorithms-for-computing-li.../src/main/java/Presenter/Presenter.java

188 lines
5.2 KiB
Java

package Presenter;
import Model.Arrangement;
import Model.Line;
import Model.Point;
import Presenter.Algorithms.LeastMedianOfSquaresEstimator;
import View.MainFrame;
import javax.swing.*;
import java.util.LinkedList;
import java.util.List;
import java.util.Observable;
import java.util.Observer;
/**
* Implementierung verschiedener Algorithmen zur Berechnung von Ausgleichsgeraden.
*
* @Author: Armin Wolf
* @Email: a_wolf28@uni-muenster.de
* @Date: 28.05.2017.
*/
public class Presenter implements Observer {
private Arrangement model;
private MainFrame view;
private LeastMedianOfSquaresEstimator lms;
private Double max;
private Double min;
public Presenter(Arrangement model, MainFrame view) {
this.model = model;
this.view = view;
// Double[] x = {1d, 2d, 3d, 4d, 10d, 12d, 18d};
// Double[] y = {9d, 15d, 19d, 20d, 45d, 55d, 78d};
Double[] x = {18d,24d,30d,34d,38d};
Double[] y = {18d,26d,30d,40d,70d};
// Double[] x = {1d,3d,4d,5d,8d};
// Double[] y = {4d,2d,1d,0d,0d};
view.logHeading("Duale Darstellung der Punkte als Geraden:");
for (int j = 0; j < x.length; j++) {
Line p = new Line(x[j], y[j]);
view.log("f(x) = " + p.getM() + "x + " + p.getB());
this.model.addLine(p);
}
calcArrangementNodes();
//print
List<String> heading = new LinkedList<>();
List<List<String>> rows = new LinkedList<>();
heading.add("X - Koordinate");
heading.add("Y - Koordinate");
for (Point p : model.getNodes()) {
LinkedList<String> rowEntry = new LinkedList<>();
rowEntry.add(p.getX().toString());
rowEntry.add(p.getY().toString());
rows.add(rowEntry);
}
view.logHeading("Schnittpunkte der Dualen Geraden:");
view.createTable(heading, rows);
}
@Override
public void update(Observable o, Object arg) {
Line result = ((Line) arg);
SwingUtilities.invokeLater(()->{
getView().createPlot(result.getM(), result.getB());
getView().setLmsIsComplete(true);
getView().logSuccess("Berechnung wurde Erfolgreich durchgeführt");
getView().log("m: "+result.getM()+" b: "+result.getB());
});
}
public void startArrangementVisualization() {
view.createArrangement();
}
public void startScatterPlotVisualization(String[] input) {
Double constant =Double.parseDouble(input[0]);
Double error = Double.parseDouble(input[1]);
lms = new LeastMedianOfSquaresEstimator(model.getLines(), model.getNodes(), this);
lms.setConstant(constant);
lms.setQuantileError(error);
lms.addObserver(this);
lms.run();
}
public Point calcIntersection(Line a, Line b) {
Line p1 = a;
Line p2 = b;
Double x = (p1.getB() - p2.getB()) / (p2.getM() - p1.getM());
Double y = ((p1.getM() * p2.getB()) - (p2.getM() * p1.getB())) / (p1.getM() - p2.getM());
return new Point(x, y);
}
public void calcArrangementNodes() {
try {
Thread thread = new Thread(() -> {
for (int i = 0; i < getLines().size(); i++) {
for (int j = i; j < getLines().size(); j++) {
if (i != j){
model.addNode(calcIntersection(getLines().get(j), getLines().get(i)));
}
}
}
});
thread.start();
thread.join();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
public LinkedList<LinkedList<Point>> calcArrangementLines(){
LinkedList<LinkedList<Point>> lineCoordinates = new LinkedList<>();
double x1 = -1000;
double x2 = 1000;
for (Line point : model.getLines()) {
LinkedList line = new LinkedList();
double y1 = (point.getM() * x1 + point.getB());
double y2 = (point.getM() * x2 + point.getB());
line.add(new Point(x1,y1));
line.add(new Point(x2,y2));
lineCoordinates.add(line);
}
return lineCoordinates;
}
/***************************************************************************************************************************
* Getter und Setter Methoden
***************************************************************************************************************************/
public Arrangement getModel() {
return model;
}
public void setModel(Arrangement model) {
this.model = model;
}
public MainFrame getView() {
return view;
}
public void setView(MainFrame view) {
this.view = view;
}
public LinkedList<Line> getLines() {
return this.model.getLines();
}
public void setLines(LinkedList<Line> lines) {
this.model.setLines(lines);
}
public Double getMax() {
return max;
}
public void setMax(Double max) {
this.max = max;
}
public Double getMin() {
return min;
}
public void setMin(Double min) {
this.min = min;
}
}