/** {@inheritDoc} * @param point*/ public Evaluation evaluate(final RealVector point) { return problem.evaluate(point); }
/** {@inheritDoc} */ public ConvergenceChecker<Evaluation> getConvergenceChecker() { return problem.getConvergenceChecker(); } }
/** {@inheritDoc} */ public Incrementor getEvaluationCounter() { return problem.getEvaluationCounter(); }
final int nR = problem.getObservationSize(); // Number of observed data. final int nC = problem.getParameterSize(); // Number of parameters. final Incrementor iterationCounter = problem.getIterationCounter(); final Incrementor evaluationCounter = problem.getEvaluationCounter(); final ConvergenceChecker<Evaluation> checker = problem.getConvergenceChecker(); Evaluation current = problem.evaluate(problem.getStart()); double[] currentResiduals = current.getResiduals().toArray(); double currentCost = current.getCost(); current = problem.evaluate(new ArrayRealVector(currentPoint)); currentResiduals = current.getResiduals().toArray(); currentCost = current.getCost();
final Incrementor evaluationCounter = lsp.getEvaluationCounter(); final Incrementor iterationCounter = lsp.getIterationCounter(); final ConvergenceChecker<Evaluation> checker = lsp.getConvergenceChecker(); RealVector currentPoint = lsp.getStart(); current = lsp.evaluate(currentPoint); final RealVector currentResiduals = current.getResiduals(); final RealMatrix weightedJacobian = current.getJacobian();
/** {@inheritDoc} */ public int getObservationSize() { return problem.getObservationSize(); }
/** {@inheritDoc} */ public Incrementor getIterationCounter() { return problem.getIterationCounter(); }
/** {@inheritDoc} */ public RealVector getStart() { return problem.getStart(); }
/** {@inheritDoc} */ public int getParameterSize() { return problem.getParameterSize(); }
final int nR = problem.getObservationSize(); // Number of observed data. final int nC = problem.getParameterSize(); // Number of parameters. final Incrementor iterationCounter = problem.getIterationCounter(); final Incrementor evaluationCounter = problem.getEvaluationCounter(); final ConvergenceChecker<Evaluation> checker = problem.getConvergenceChecker(); Evaluation current = problem.evaluate(problem.getStart()); double[] currentResiduals = current.getResiduals().toArray(); double currentCost = current.getCost(); current = problem.evaluate(new ArrayRealVector(currentPoint)); currentResiduals = current.getResiduals().toArray(); currentCost = current.getCost();
final Incrementor evaluationCounter = lsp.getEvaluationCounter(); final Incrementor iterationCounter = lsp.getIterationCounter(); final ConvergenceChecker<Evaluation> checker = lsp.getConvergenceChecker(); RealVector currentPoint = lsp.getStart(); current = lsp.evaluate(currentPoint); final RealVector currentResiduals = current.getResiduals(); final RealMatrix weightedJacobian = current.getJacobian();
/** {@inheritDoc} */ public int getObservationSize() { return problem.getObservationSize(); }
/** {@inheritDoc} */ public Incrementor getIterationCounter() { return problem.getIterationCounter(); }
/** {@inheritDoc} */ public RealVector getStart() { return problem.getStart(); }
/** {@inheritDoc} */ public int getParameterSize() { return problem.getParameterSize(); }
final int nR = problem.getObservationSize(); // Number of observed data. final int nC = problem.getParameterSize(); // Number of parameters. final Incrementor iterationCounter = problem.getIterationCounter(); final Incrementor evaluationCounter = problem.getEvaluationCounter(); final ConvergenceChecker<Evaluation> checker = problem.getConvergenceChecker(); Evaluation current = problem.evaluate(problem.getStart()); double[] currentResiduals = current.getResiduals().toArray(); double currentCost = current.getCost(); current = problem.evaluate(new ArrayRealVector(currentPoint)); currentResiduals = current.getResiduals().toArray(); currentCost = current.getCost();
final Incrementor evaluationCounter = lsp.getEvaluationCounter(); final Incrementor iterationCounter = lsp.getIterationCounter(); final ConvergenceChecker<Evaluation> checker = lsp.getConvergenceChecker(); RealVector currentPoint = lsp.getStart(); current = lsp.evaluate(currentPoint); final RealVector currentResiduals = current.getResiduals(); final RealMatrix weightedJacobian = current.getJacobian();
/** {@inheritDoc} * @param point*/ public Evaluation evaluate(final RealVector point) { return problem.evaluate(point); }
/** {@inheritDoc} */ public ConvergenceChecker<Evaluation> getConvergenceChecker() { return problem.getConvergenceChecker(); } }
/** {@inheritDoc} */ public int getObservationSize() { return problem.getObservationSize(); }