List of calculate() Examples

Examples of calculate()

BiNGO.BiNGO.NodeDistances.calculate()
Calculates the node distances. @return the int[][] array of calculated distances or null if thetask was canceled or there was an error
ae.sun.awt.geom.AreaOp.calculate()
algorithms.core.Algorithm.calculate()
algorithms.impls.wave.WaveAlgorithm.calculate()
cascading.pattern.model.generalregression.expression.ExpressionEvaluator.calculate()
center.task.prm.IDependentParam.calculate()
Функция расчёта значения параметра @param tl - статистика контекста расчёта @param cntx - контекст расчёта @return результат расчёта @throws CalculateException
ch.qos.logback.classic.spi.PackagingDataCalculator.calculate()
com.centraview.account.common.ItemLines.calculate()
com.centraview.hr.expenses.HrExpenseLines.calculate()
com.centraview.sale.proposal.ItemLines.calculate()
This method calculates the following items:
- Total Quantity
- Subtotal
- Total
- Tax
com.github.neuralnetworks.calculation.ConnectionCalculator.calculate()
@param connections - list of connections to calculate @param valuesProvider - values provider for the connections @param targetLayer - the target layer, to which "output" is associated
com.github.neuralnetworks.calculation.neuronfunctions.AparapiAveragePooling2D.calculate()
com.github.neuralnetworks.calculation.neuronfunctions.AparapiConv2D.calculate()
com.github.neuralnetworks.calculation.neuronfunctions.AparapiConv2DFF.calculate()
com.github.neuralnetworks.calculation.neuronfunctions.AparapiMaxPooling2D.calculate()
com.github.neuralnetworks.calculation.neuronfunctions.AparapiStochasticPooling2D.calculate()
com.github.neuralnetworks.calculation.neuronfunctions.AparapiWeightedSumConnectionCalculator.calculate()
com.github.neuralnetworks.calculation.neuronfunctions.ConnectionCalculatorFullyConnected.calculate()
com.github.neuralnetworks.training.backpropagation.BackpropagationAveragePooling2D.calculate()
com.github.neuralnetworks.training.backpropagation.BackpropagationMaxPooling2D.calculate()
com.heatonresearch.aifh.distance.CalculateDistance.calculate()
Calculate the distance between two vectors, both full length and starting at position 0. @param position1 The first vector. @param position2 The second vector. @return The distance.
com.heatonresearch.aifh.distance.EuclideanDistance.calculate()
{@inheritDoc}
com.heatonresearch.aifh.error.ErrorCalculation.calculate()
Calculate the error with MSE. @return The current error for the neural network.
com.marimon.image.framework.MatrixCorrelation.calculate()
com.mdraco.calculator.Operation.calculate()
Calculate two values using current operator. @param val1 first value @param val2 second value @return combined result
com.pointcliki.dizgruntled.utils.PathFinder.calculate()
de.congrace.exp4j.Calculable.calculate()
easyliq.Calculators.Calculator.Calculate()
edu.brown.mappings.PearsonCorrelationMapping.calculate()
kipedia.org/wiki/PearsonCorrelation_correlation @return The PearsonCorrelation's r of the two variables associated with this object
edu.brown.mappings.RatioMapping.calculate()
freenet.node.NodeStats.RunningRequestsSnapshot.calculate()
jodd.proxetta.data.Calc.calculate()
jodd.proxetta.data.CalcImpl.calculate()
mage.abilities.dynamicvalue.DynamicValue.calculate()
mage.abilities.dynamicvalue.common.CardsInAllGraveyardsCount.calculate()
mage.abilities.dynamicvalue.common.CardsInControllerGraveyardCount.calculate()
mage.abilities.dynamicvalue.common.CountersCount.calculate()
mage.abilities.dynamicvalue.common.ExileFromHandCostCardConvertedMana.calculate()
mage.abilities.dynamicvalue.common.MultikickerCount.calculate()
mage.abilities.dynamicvalue.common.OpponentsLostLifeCount.calculate()
mage.abilities.dynamicvalue.common.PermanentsOnBattlefieldCount.calculate()
net.sf.cram.stats.CompressionHeaderFactory.HuffmanParamsCalculator.calculate()
org.boris.expr.engine.SimpleGraphEngine.calculate()
org.criticalfailure.torchlight.core.domain.calculator.IObjectPropertyCalculator.calculate()
org.encog.engine.util.ErrorCalculation.calculate()
Returns the root mean square error for a complete training set. @return The current error for the neural network.
org.encog.mathutil.error.ErrorCalculation.calculate()
Returns the root mean square error for a complete training set. @return The current error for the neural network.
org.encog.mathutil.probability.CalcProbability.calculate()
org.encog.util.normalize.output.OutputFieldRangeMapped.calculate()
Calculate a ranged mapped value. @param value The to map. @param min The minimum that the value param can be. @param max The maximum that the value param can be. @param hi The high value to map into. @param lo The low value to map into. @return The mapped value.
org.geotools.graph.path.AStarShortestPathFinder.calculate()
Performs the graph traversal and calculates the shortest path from the source node to destiny node in the graph.
org.geotools.graph.path.DijkstraShortestPathFinder.calculate()
Performs the graph traversal and calculates the shortest path from the source node to every other node in the graph.
org.jmol.api.MepCalculationInterface.calculate()
org.jmol.geodesic.EnvelopeCalculation.calculate()
@param rd @param maxRadius @param bsSelected @param bsIgnore @param disregardNeighbors @param onlySelectedDots @param isSurface @param multiModel
org.jquantlib.model.volatility.ConstantEstimator.calculate()
org.jquantlib.model.volatility.SimpleLocalEstimator.calculate()
org.jquantlib.model.volatility.VolatilityCompositor.calculate()
org.jquantlib.pricingengines.AnalyticEuropeanEngine.calculate()
org.lealone.expression.Expression.calculate()
org.neuroph.core.NeuralNetwork.calculate()
Performs calculation on whole network
org.neuroph.core.Neuron.calculate()
Calculates neuron's output
org.neuroph.nnet.Hopfield.calculate()
org.neuroph.nnet.MultiLayerPerceptron.calculate()
org.nutz.el.Operator.calculate()
计算
org.nutz.el.arithmetic.RPN.calculate()
执行已经预编译的EL
org.projectforge.fibu.kost.BuchungssatzDO.calculate()
Führt nach der Datev-/Steffi-Logik Betrachtungen durch, ob dieser Datensatz berücksichtigt werden muss bzw. ob die Betrag im Haben oder im Soll anzuwenden ist.
org.xhtmlrenderer.css.extend.ContentFunction.calculate()
reportgen.math.agregate.agregate.Aggregate.calculate()
samples.mockpolicy.ResultCalculator.calculate()
samples.simplemix.SimpleMix.calculate()
stallone.mc.tpt.TPTFlux.calculate()
sun.awt.geom.AreaOp.calculate()
tools.Expression.calculate()
tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.calculate()

Examples of com.centraview.sale.proposal.ItemLines.calculate()

          e.printStackTrace();
        } // end of catch block (Exception)
      } // end of while loop (st.hasMoreTokens())
    } // end of if statement (newItemID != null && !newItemID.equals(""))


    itemLines.calculate();
    proposalVO.setItemLines(itemLines);
    return proposalVO;
  } // end of calculateProposalItems method


  /**

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Examples of com.github.neuralnetworks.calculation.ConnectionCalculator.calculate()


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  assertEquals(3, o.get(0, 0), 0);
  assertEquals(4, o.get(1, 0), 0);
  assertEquals(7, o.get(2, 0), 0);
  assertEquals(8, o.get(3, 0), 0);

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Examples of com.github.neuralnetworks.calculation.ConnectionCalculator.calculate()

  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), a1);
  vp.addValues(c.getOutputLayer(), o);


  ConnectionCalculator calc = new AparapiMaxPooling2D();
  calc.calculate(connections, vp, c.getOutputLayer());


  ValuesProvider activations = new ValuesProvider();
  activations.addValues(c.getInputLayer(), a1);


  Matrix bpo = new Matrix(32, 2);

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Examples of com.github.neuralnetworks.calculation.ConnectionCalculator.calculate()

  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), a1);
  Matrix o = new Matrix(8, 2);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  ValuesProvider activations = new ValuesProvider();
  activations.addValues(c.getInputLayer(), a1);


  BackpropagationAveragePooling2D bp = new BackpropagationAveragePooling2D();

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Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiAveragePooling2D.calculate()


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  assertEquals(1.75, o.get(0, 0), 0);
  assertEquals(2.75, o.get(1, 0), 0);
  assertEquals(5.75, o.get(2, 0), 0);
  assertEquals(6.75, o.get(3, 0), 0);

View Full Code Here

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiAveragePooling2D.calculate()

  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), a1);
  Matrix o = new Matrix(8, 2);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  ValuesProvider activations = new ValuesProvider();
  activations.addValues(c.getInputLayer(), a1);


  BackpropagationAveragePooling2D bp = new BackpropagationAveragePooling2D();

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Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiConv2D.calculate()


  Matrix o = new Matrix(4, 1);


  AparapiConv2D conv = new AparapiConv2DFF(c, 1);


  conv.calculate(c, i1, o);


  // most simple case
  assertEquals(164, o.get(0, 0), 0);
  assertEquals(184, o.get(0, 1), 0);
  assertEquals(224, o.get(0, 2), 0);

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Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiConv2D.calculate()


  Matrix o = new Matrix(8, 1);


  AparapiConv2D conv = new AparapiConv2DFF(c, 1);


  conv.calculate(c, i1, o);


  assertEquals(164, o.get(0, 0), 0);
  assertEquals(184, o.get(0, 1), 0);
  assertEquals(224, o.get(0, 2), 0);
  assertEquals(244, o.get(0, 3), 0);

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Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiConv2DFF.calculate()


  Matrix o = new Matrix(4, 1);


  AparapiConv2D conv = new AparapiConv2DFF(c, 1);


  conv.calculate(c, i1, o);


  // most simple case
  assertEquals(164, o.get(0, 0), 0);
  assertEquals(184, o.get(0, 1), 0);
  assertEquals(224, o.get(0, 2), 0);

View Full Code Here

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiConv2DFF.calculate()


  Matrix o = new Matrix(8, 1);


  AparapiConv2D conv = new AparapiConv2DFF(c, 1);


  conv.calculate(c, i1, o);


  assertEquals(164, o.get(0, 0), 0);
  assertEquals(184, o.get(0, 1), 0);
  assertEquals(224, o.get(0, 2), 0);
  assertEquals(244, o.get(0, 3), 0);

View Full Code Here

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