Examples of ArrayRealVector

org.apache.commons.math.linear.ArrayRealVector
This class implements the {@link RealVector} interface with a double array. @version $Revision: 1003993 $ $Date: 2010-10-03 18:39:16 +0200 (dim. 03 oct. 2010) $ @since 2.0
org.apache.commons.math3.linear.ArrayRealVector
This class implements the {@link RealVector} interface with a double array. @version $Id: ArrayRealVector.java 1296539 2012-03-03 00:47:39Z sebb $ @since 2.0

Examples of org.apache.commons.math3.linear.ArrayRealVector

                    delta = FastMath.min(delta, lmNorm);
                }


                // Evaluate the function at x + p and calculate its norm.
                evaluationCounter.incrementCount();
                current = problem.evaluate(new ArrayRealVector(currentPoint));
                currentResiduals = current.getResiduals().toArray();
                currentCost = current.getCost();
                currentPoint = current.getPoint().toArray();


                // compute the scaled actual reduction

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Examples of org.apache.commons.math3.linear.ArrayRealVector

    /**
     * @param coefficients Coefficients for the linear equation being optimized.
     * @param constantTerm Constant term of the linear equation.
     */
    public LinearObjectiveFunction(double[] coefficients, double constantTerm) {
        this(new ArrayRealVector(coefficients), constantTerm);
    }

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Examples of org.apache.commons.math3.linear.ArrayRealVector

     *
     * @param point Point at which linear equation must be evaluated.
     * @return the value of the linear equation at the current point.
     */
    public double value(final double[] point) {
        return value(new ArrayRealVector(point, false));
    }

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Examples of org.apache.commons.math3.linear.ArrayRealVector

     * @param value The value of the constraint (right hand side)
     */
    public LinearConstraint(final double[] coefficients,
                            final Relationship relationship,
                            final double value) {
        this(new ArrayRealVector(coefficients), relationship, value);
    }

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Examples of org.apache.commons.math3.linear.ArrayRealVector

                            final double[] rhsCoefficients, final double rhsConstant) {
        double[] sub = new double[lhsCoefficients.length];
        for (int i = 0; i < sub.length; ++i) {
            sub[i] = lhsCoefficients[i] - rhsCoefficients[i];
        }
        this.coefficients = new ArrayRealVector(sub, false);
        this.relationship = relationship;
        this.value        = rhsConstant - lhsConstant;
    }

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Examples of org.apache.commons.math3.linear.ArrayRealVector

            for (int j = noIntercept ? 0 : 1; j < cols; j++) {
                x[i][j] = data[pointer++];
            }
        }
        this.xMatrix = new Array2DRowRealMatrix(x);
        this.yVector = new ArrayRealVector(y);
    }

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Examples of org.apache.commons.math3.linear.ArrayRealVector

            throw new NullArgumentException();
        }
        if (y.length == 0) {
            throw new NoDataException();
        }
        this.yVector = new ArrayRealVector(y);
    }

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Examples of org.apache.commons.math3.linear.ArrayRealVector

                                             final RealMatrix weight,
                                             final ConvergenceChecker<Evaluation> checker,
                                             final int maxEvaluations,
                                             final int maxIterations) {
        return create(model(model, jacobian),
                      new ArrayRealVector(observed, false),
                      new ArrayRealVector(start, false),
                      weight,
                      checker,
                      maxEvaluations,
                      maxIterations);
    }

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Examples of org.apache.commons.math3.linear.ArrayRealVector

                                                    computeJacobian(p));
        }


        /** {@inheritDoc} */
        public RealVector computeValue(final double[] params) {
            return new ArrayRealVector(value.value(params), false);
        }

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Examples of org.apache.commons.math3.linear.ArrayRealVector


    /** {@inheritDoc} */
    public RealVector getSigma(double covarianceSingularityThreshold) {
        final RealMatrix cov = this.getCovariances(covarianceSingularityThreshold);
        final int nC = cov.getColumnDimension();
        final RealVector sig = new ArrayRealVector(nC);
        for (int i = 0; i < nC; ++i) {
            sig.setEntry(i, FastMath.sqrt(cov.getEntry(i,i)));
        }
        return sig;
    }

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