List of usage examples for java.lang Double MAX_VALUE
double MAX_VALUE
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From source file:edu.oregonstate.eecs.mcplan.domains.voyager.Voyager.java
public static Planet nearest(final Planet target, final List<Planet> ps) { double d = Double.MAX_VALUE; Planet closest = null;//ww w .ja v a2s . com for (final Planet p : ps) { final double dprime = sq_distance(target, p); if (dprime < d) { d = dprime; closest = p; } } return closest; }
From source file:com.basetechnology.s0.agentserver.field.FloatField.java
public FloatField(SymbolTable symbolTable, String name) { this.symbol = new Symbol(symbolTable, name, IntegerTypeNode.one); this.label = name; minValue = Double.MIN_VALUE;/*from w ww . j av a2 s .co m*/ maxValue = Double.MAX_VALUE; }
From source file:inflor.core.plots.CategoricalNumberAxis.java
public CategoricalNumberAxis(String name, HashMap<Integer, String> lableMap) { super(name);/*w ww .j a va2 s. co m*/ this.labelMap = lableMap; Integer[] yValues = lableMap.keySet().toArray(new Integer[lableMap.size()]); double yMin = Double.MAX_VALUE; double yMax = Double.MIN_VALUE; for (Integer d : yValues) { if (d < yMin) { yMin = d; } if (d > yMax) { yMax = d; } } this.setRange(new Range(yMin - 0.5, yMax + 0.5)); NumberFormat formatter = new CategoryNumberFormat(lableMap); this.setNumberFormatOverride(formatter); this.setTickMarkOutsideLength(2); }
From source file:com.espertech.esper.regression.db.TestDatabaseQueryResultCache.java
public void testExpireCacheNoPurge() { ConfigurationDBRef configDB = getDefaultConfig(); configDB.setExpiryTimeCache(1.0d, Double.MAX_VALUE); tryCache(configDB, 5000, 1000, false); }
From source file:com.github.pmerienne.cf.recommendation.TopKItemsTest.java
@Test public void should_sort_recommendations() { // Given//from w ww. j a v a 2 s . c om int maxSize = 10; // When TopKItems topKItems = new TopKItems(maxSize); for (int i = 0; i < maxSize; i++) { topKItems.add(new Recommendation(RandomUtils.nextLong(), RandomUtils.nextDouble())); } // Then double previousScore = Double.MAX_VALUE; for (Recommendation recommendation : topKItems) { assertThat(recommendation.getScore()).isLessThan(previousScore); previousScore = recommendation.getScore(); } }
From source file:Main.java
private ListView<Person> createLeaderListView(ObservableList<Person> leaders) { final ListView<Person> leaderListView = new ListView<>(leaders); leaderListView.setPrefWidth(150);/* www. java 2 s. c o m*/ leaderListView.setMaxWidth(Double.MAX_VALUE); leaderListView.setPrefHeight(150); leaderListView.setCellFactory(new Callback<ListView<Person>, ListCell<Person>>() { @Override public ListCell<Person> call(ListView<Person> param) { Tooltip tooltip = new Tooltip(); ListCell<Person> cell = new ListCell<Person>() { @Override public void updateItem(Person item, boolean empty) { super.updateItem(item, empty); if (item != null) { // leadLbl.setText(item.getAliasName()); setText(item.getFirstName() + " " + item.getLastName()); tooltip.setText(item.getAliasName()); setTooltip(tooltip); } } }; return cell; } }); return leaderListView; }
From source file:com.basetechnology.s0.agentserver.field.MoneyField.java
public MoneyField(SymbolTable symbolTable, String name) { this.symbol = new Symbol(symbolTable, name, IntegerTypeNode.one); this.label = name; minValue = 0;//from w ww . j ava 2 s .co m maxValue = Double.MAX_VALUE; }
From source file:edu.oregonstate.eecs.mcplan.ml.VoronoiClassifier.java
public int classify(final RealVector x) { double best_distance = Double.MAX_VALUE; int best_idx = 0; for (int i = 0; i < centers_.length; ++i) { final double d = distance(x, centers_[i]); if (d < best_distance) { best_distance = d;//from w w w . j ava 2s. c o m best_idx = i; } } // System.out.print( x ); // System.out.print( " -> " ); // System.out.println( centers_[best_idx] ); return best_idx; }
From source file:emlab.domain.agent.CommoditySupplier.java
public double getAmountOfCommodity() { return Double.MAX_VALUE; }
From source file:es.udc.gii.common.eaf.stoptest.cma.CMATolXStopTest.java
@Override public boolean isReach(EvolutionaryAlgorithm algorithm) { double current_tol_x, sigma, minstartsigma, maxsqrtdiagC, pc; CMAEvolutionaryAlgorithm cma = (CMAEvolutionaryAlgorithm) algorithm; minstartsigma = StatUtils.min(cma.getStartSigma()); current_tol_x = Math.max(this.tol_x, this.tol_x_factor * minstartsigma); maxsqrtdiagC = Math.sqrt(StatUtils.max(cma.diag(cma.getC()))); sigma = cma.getSigma();// w w w .ja v a2s .com pc = -Double.MAX_VALUE; for (double d : cma.getPc()) { pc = Math.max(pc, Math.abs(d)); } if (sigma * maxsqrtdiagC < current_tol_x && sigma * pc < current_tol_x) { return true; } return false; }