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