Package org.apache.commons.math.linear

Examples of org.apache.commons.math.linear.LUDecompositionImpl$Solver

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        }

        try {
            // compute the covariances matrix
            RealMatrix inverse =
                new LUDecompositionImpl(MatrixUtils.createRealMatrix(jTj)).getSolver().getInverse();
            return inverse.getData();
        } catch (InvalidMatrixException ime) {
            throw new EstimationException("unable to compute covariances: singular problem");
        }
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  @Override
  public double getDeterminant(final Matrix<?> m) {
    Validate.notNull(m, "m");
    if (m instanceof DoubleMatrix2D) {
      final RealMatrix temp = CommonsMathWrapper.wrap((DoubleMatrix2D) m);
      final LUDecomposition lud = new LUDecompositionImpl(temp);
      return lud.getDeterminant();
    }
    throw new IllegalArgumentException("Can only find determinant of DoubleMatrix2D; have " + m.getClass());
  }
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   */
  @Override
  public LUDecompositionResult evaluate(final DoubleMatrix2D x) {
    Validate.notNull(x);
    final RealMatrix temp = CommonsMathWrapper.wrap(x);
    final LUDecomposition lu = new LUDecompositionImpl(temp);
    return new LUDecompositionCommonsResult(lu);
  }
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Related Classes of org.apache.commons.math.linear.LUDecompositionImpl$Solver

  • ch.bfh.ti.kybernetik.engine.controller.DefaultSimulatorImpl
  • com.opengamma.analytics.math.linearalgebra.LUDecompositionCommons
  • com.opengamma.analytics.math.matrix.CommonsMatrixAlgebra
  • org.apache.commons.math.estimation.AbstractEstimator
  • org.apache.commons.math.estimation.GaussNewtonEstimator
  • org.apache.commons.math.linear.LUDecompositionImplTest
  • org.apache.commons.math.linear.LUSolverTest
  • org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
  • org.apache.commons.math.optimization.general.GaussNewtonOptimizer
  • org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
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