Javadoc
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/fitting/leastsquares/LeastSquaresBuilder.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/fitting/leastsquares/LeastSquaresBuilder.java
index 2280c2b..782ab72 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/fitting/leastsquares/LeastSquaresBuilder.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/fitting/leastsquares/LeastSquaresBuilder.java
@@ -81,7 +81,7 @@
* Configure the max evaluations.
*
* @param newMaxEvaluations the maximum number of evaluations permitted.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder maxEvaluations(final int newMaxEvaluations) {
this.maxEvaluations = newMaxEvaluations;
@@ -92,7 +92,7 @@
* Configure the max iterations.
*
* @param newMaxIterations the maximum number of iterations permitted.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder maxIterations(final int newMaxIterations) {
this.maxIterations = newMaxIterations;
@@ -103,7 +103,7 @@
* Configure the convergence checker.
*
* @param newChecker the convergence checker.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder checker(final ConvergenceChecker<Evaluation> newChecker) {
this.checker = newChecker;
@@ -116,7 +116,7 @@
* This function is an overloaded version of {@link #checker(ConvergenceChecker)}.
*
* @param newChecker the convergence checker.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder checkerPair(final ConvergenceChecker<PointVectorValuePair> newChecker) {
return this.checker(LeastSquaresFactory.evaluationChecker(newChecker));
@@ -127,7 +127,7 @@
*
* @param value the model function value
* @param jacobian the Jacobian of {@code value}
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder model(final MultivariateVectorFunction value,
final MultivariateMatrixFunction jacobian) {
@@ -138,7 +138,7 @@
* Configure the model function.
*
* @param newModel the model function value and Jacobian
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder model(final MultivariateJacobianFunction newModel) {
this.model = newModel;
@@ -149,7 +149,7 @@
* Configure the observed data.
*
* @param newTarget the observed data.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder target(final RealVector newTarget) {
this.target = newTarget;
@@ -160,7 +160,7 @@
* Configure the observed data.
*
* @param newTarget the observed data.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder target(final double[] newTarget) {
return target(new ArrayRealVector(newTarget, false));
@@ -170,7 +170,7 @@
* Configure the initial guess.
*
* @param newStart the initial guess.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder start(final RealVector newStart) {
this.start = newStart;
@@ -181,7 +181,7 @@
* Configure the initial guess.
*
* @param newStart the initial guess.
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder start(final double[] newStart) {
return start(new ArrayRealVector(newStart, false));
@@ -191,7 +191,7 @@
* Configure the weight matrix.
*
* @param newWeight the weight matrix
- * @return this
+ * @return {@code this} instance.
*/
public LeastSquaresBuilder weight(final RealMatrix newWeight) {
this.weight = newWeight;
