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Fixed checkstyle error. 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1591822 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2014-05-02 08:03:03 +00:00
parent 26581ccd66
commit 99abe75d48
1 changed files with 8 additions and 5 deletions
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13
src/main/java/org/apache/commons/math3/optimization/general/AbstractLeastSquaresOptimizer.java
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@ -19,7 +19,6 @@ package org.apache.commons.math3.optimization.general;
import org.apache.commons.math3.analysis.DifferentiableMultivariateVectorFunction;
import org.apache.commons.math3.analysis.FunctionUtils;
import org.apache.commons.math3.analysis.MultivariateVectorFunction;
import org.apache.commons.math3.analysis.differentiation.DerivativeStructure;
import org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction;
import org.apache.commons.math3.exception.DimensionMismatchException;
@ -48,7 +47,8 @@ import org.apache.commons.math3.util.FastMath;
* Jacobian and error estimation.
* <p>
* This class constructs the Jacobian matrix of the function argument in method
* {@link BaseAbstractMultivariateVectorOptimizer#optimize(int,MultivariateVectorFunction,OptimizationData[])
* {@link BaseAbstractMultivariateVectorOptimizer#optimize(int,
* org.apache.commons.math3.analysis.MultivariateVectorFunction,OptimizationData[])
* optimize} and assumes that the rows of that matrix iterate on the model
* functions while the columns iterate on the parameters; thus, the numbers
* of rows is equal to the dimension of the
@ -411,7 +411,8 @@ public abstract class AbstractLeastSquaresOptimizer
/** {@inheritDoc}
* @deprecated As of 3.1. Please use
* {@link BaseAbstractMultivariateVectorOptimizer#optimize(int,MultivariateVectorFunction,OptimizationData[])
* {@link BaseAbstractMultivariateVectorOptimizer#optimize(int,
* org.apache.commons.math3.analysis.MultivariateVectorFunction,OptimizationData[])
* optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)}
* instead.
*/
@ -448,7 +449,8 @@ public abstract class AbstractLeastSquaresOptimizer
* @throws org.apache.commons.math3.exception.NullArgumentException if
* any argument is {@code null}.
* @deprecated As of 3.1. Please use
* {@link BaseAbstractMultivariateVectorOptimizer#optimize(int,MultivariateVectorFunction,OptimizationData[])
* {@link BaseAbstractMultivariateVectorOptimizer#optimize(int,
* org.apache.commons.math3.analysis.MultivariateVectorFunction,OptimizationData[])
* optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)}
* instead.
*/
@ -483,7 +485,8 @@ public abstract class AbstractLeastSquaresOptimizer
* the maximal number of evaluations is exceeded.
* @throws DimensionMismatchException if the target, and weight arguments
* have inconsistent dimensions.
* @see BaseAbstractMultivariateVectorOptimizer#optimizeInternal(int,MultivariateVectorFunction,OptimizationData[])
* @see BaseAbstractMultivariateVectorOptimizer#optimizeInternal(int,
* org.apache.commons.math3.analysis.MultivariateVectorFunction,OptimizationData[])
* @since 3.1
* @deprecated As of 3.1. Override is necessary only until this class's generic
* argument is changed to {@code MultivariateDifferentiableVectorFunction}.