Added checks for "null".

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@991164 13f79535-47bb-0310-9956-ffa450edef68

src/main/java/org/apache/commons/math/optimization/BaseMultivariateRealOptimizer.java

@@ -50,6 +50,7 @@ public interface BaseMultivariateRealOptimizer<FUNC extends MultivariateRealFunc
      * @throws DimensionMismatchException if the start point dimension is wrong.
      * @throws TooManyEvaluationsException if the maximal number of evaluations is
      * exceeded.
+     * @throws NullArgumentException if any argument is {@code null}.
      */
     RealPointValuePair optimize(FUNC f, GoalType goalType, double[] startPoint)
         throws FunctionEvaluationException;

src/main/java/org/apache/commons/math/optimization/BaseMultivariateVectorialOptimizer.java

@@ -52,6 +52,7 @@ public interface BaseMultivariateVectorialOptimizer<FUNC extends MultivariateVec
      * @throws DimensionMismatchException if the start point dimension is wrong.
      * @throws TooManyEvaluationsException if the maximal number of evaluations is
      * exceeded.
+     * @throws NullArgumentException if any argument is {@code null}.
      */
     VectorialPointValuePair optimize(FUNC f, double[] target, double[] weight,
                                      double[] startPoint)

src/main/java/org/apache/commons/math/optimization/general/BaseAbstractScalarOptimizer.java

@@ -21,6 +21,7 @@ import org.apache.commons.math.FunctionEvaluationException;
 import org.apache.commons.math.util.Incrementor;
 import org.apache.commons.math.exception.MaxCountExceededException;
 import org.apache.commons.math.exception.TooManyEvaluationsException;
+import org.apache.commons.math.exception.NullArgumentException;
 import org.apache.commons.math.analysis.MultivariateRealFunction;
 import org.apache.commons.math.optimization.BaseMultivariateRealOptimizer;
 import org.apache.commons.math.optimization.GoalType;
@@ -124,6 +125,17 @@ public abstract class BaseAbstractScalarOptimizer<T extends MultivariateRealFunc
                                        GoalType goalType,
                                        double[] startPoint)
         throws FunctionEvaluationException {
+        // Checks.
+        if (f == null) {
+            throw new NullArgumentException();
+        }
+        if (goalType == null) {
+            throw new NullArgumentException();
+        }
+        if (startPoint == null) {
+            throw new NullArgumentException();
+        }
+
         // Reset.
         evaluations.resetCount();
 

src/main/java/org/apache/commons/math/optimization/general/BaseAbstractVectorialOptimizer.java

@@ -22,6 +22,7 @@ import org.apache.commons.math.util.Incrementor;
 import org.apache.commons.math.exception.MaxCountExceededException;
 import org.apache.commons.math.exception.TooManyEvaluationsException;
 import org.apache.commons.math.exception.DimensionMismatchException;
+import org.apache.commons.math.exception.NullArgumentException;
 import org.apache.commons.math.analysis.MultivariateVectorialFunction;
 import org.apache.commons.math.optimization.BaseMultivariateVectorialOptimizer;
 import org.apache.commons.math.optimization.GoalType;
@@ -122,7 +123,19 @@ public abstract class BaseAbstractVectorialOptimizer<FUNC extends MultivariateVe
                                             double[] target, double[] weight,
                                             double[] startPoint)
         throws FunctionEvaluationException {
-
+        // Checks.
+        if (f == null) {
+            throw new NullArgumentException();
+        }
+        if (target == null) {
+            throw new NullArgumentException();
+        }
+        if (weight == null) {
+            throw new NullArgumentException();
+        }
+        if (startPoint == null) {
+            throw new NullArgumentException();
+        }
         if (target.length != weight.length) {
             throw new DimensionMismatchException(target.length, weight.length);
         }

src/main/java/org/apache/commons/math/optimization/univariate/AbstractUnivariateRealOptimizer.java

@@ -21,6 +21,7 @@ import org.apache.commons.math.FunctionEvaluationException;
 import org.apache.commons.math.util.Incrementor;
 import org.apache.commons.math.exception.MaxCountExceededException;
 import org.apache.commons.math.exception.TooManyEvaluationsException;
+import org.apache.commons.math.exception.NullArgumentException;
 import org.apache.commons.math.analysis.UnivariateRealFunction;
 import org.apache.commons.math.optimization.GoalType;
 import org.apache.commons.math.optimization.ConvergenceChecker;
@@ -115,6 +116,14 @@ public abstract class AbstractUnivariateRealOptimizer
                                                  double min, double max,
                                                  double startValue)
         throws FunctionEvaluationException {
+        // Checks.
+        if (f == null) {
+            throw new NullArgumentException();
+        }
+        if (goalType == null) {
+            throw new NullArgumentException();
+        }
+
         // Reset.
         searchMin = min;
         searchMax = max;

src/main/java/org/apache/commons/math/optimization/univariate/BaseUnivariateRealOptimizer.java

@@ -19,6 +19,7 @@ package org.apache.commons.math.optimization.univariate;
 
 import org.apache.commons.math.FunctionEvaluationException;
 import org.apache.commons.math.analysis.UnivariateRealFunction;
+import org.apache.commons.math.exception.NullArgumentException;
 import org.apache.commons.math.optimization.BaseOptimizer;
 import org.apache.commons.math.optimization.GoalType;
 
@@ -80,6 +81,7 @@ public interface BaseUnivariateRealOptimizer<FUNC extends UnivariateRealFunction
      * function.
      * @throws IllegalArgumentException if {@code min > max} or the endpoints
      * do not satisfy the requirements specified by the optimizer.
+     * @throws NullArgumentException if any argument is {@code null}.
      */
     UnivariateRealPointValuePair optimize(FUNC f, GoalType goalType,
                                           double min, double max,