fixed typos

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@580751 13f79535-47bb-0310-9956-ffa450edef68

src/java/org/apache/commons/math/estimation/WeightedMeasurement.java

@@ -34,7 +34,7 @@ import java.io.Serializable;
  * parameters can be retrieved through the {@link
  * EstimationProblem#getAllParameters
  * EstimationProblem.getAllParameters} method if the measurements are
- * independant of the problem, or directly if they are implemented as
+ * independent of the problem, or directly if they are implemented as
  * inner classes of the problem.</p>
  *
  * <p>The instances for which the <code>ignored</code> flag is set

src/java/org/apache/commons/math/ode/ContinuousOutputModel.java

@@ -38,7 +38,7 @@ import java.io.Serializable;
  * variables are set only once the last step has been handled.</p>
 
  * <p>This is useful for example if the main loop of the user
- * application should remain independant from the integration process
+ * application should remain independent from the integration process
  * or if one needs to mimic the behaviour of an analytical model
  * despite a numerical model is used (i.e. one needs the ability to
  * get the model value at any time or to navigate through the

src/java/org/apache/commons/math/ode/FirstOrderDifferentialEquations.java

@@ -52,7 +52,7 @@ public interface FirstOrderDifferentialEquations {
     public int getDimension();
     
     /** Get the current time derivative of the state vector.
-     * @param t current value of the independant <I>time</I> variable
+     * @param t current value of the independent <I>time</I> variable
      * @param y array containing the current value of the state vector
      * @param yDot placeholder array where to put the time derivative of the state vector
      * @throws DerivativeException this exception is propagated to the caller if the

src/java/org/apache/commons/math/ode/SecondOrderDifferentialEquations.java

@@ -53,7 +53,7 @@ public interface SecondOrderDifferentialEquations {
   public int getDimension();
     
   /** Get the current time derivative of the state vector.
-   * @param t current value of the independant <I>time</I> variable
+   * @param t current value of the independent <I>time</I> variable
    * @param y array containing the current value of the state vector
    * @param yDot array containing the current value of the first derivative
    * of the state vector

src/java/org/apache/commons/math/ode/SwitchState.java

@@ -105,7 +105,7 @@ class SwitchState implements Serializable {
   }
 
   /** Reinitialize the beginning of the step.
-   * @param t0 value of the independant <i>time</i> variable at the
+   * @param t0 value of the independent <i>time</i> variable at the
    * beginning of the step
    * @param y0 array containing the current value of the state vector
    * at the beginning of the step
@@ -210,7 +210,7 @@ class SwitchState implements Serializable {
   }
 
   /** Acknowledge the fact the step has been accepted by the integrator.
-   * @param t value of the independant <i>time</i> variable at the
+   * @param t value of the independent <i>time</i> variable at the
    * end of the step
    * @param y array containing the current value of the state vector
    * at the end of the step
@@ -240,7 +240,7 @@ class SwitchState implements Serializable {
   }
 
   /** Let the switching function reset the state if it wants.
-   * @param t value of the independant <i>time</i> variable at the
+   * @param t value of the independent <i>time</i> variable at the
    * beginning of the next step
    * @param y array were to put the desired state vector at the beginning
    * of the next step

src/java/org/apache/commons/math/ode/SwitchingFunction.java

@@ -31,7 +31,7 @@ import java.io.Serializable;
  * the name <em>switching functions</em>.</p>
  *
  * <p>Since events are only problem-dependent and are triggered by the
- * independant <i>time</i> variable and the state vector, they can
+ * independent <i>time</i> variable and the state vector, they can
  * occur at virtually any time, unknown in advance. The integrators will
  * take care to avoid sign changes inside the steps, they will reduce
  * the step size when such an event is detected in order to put this
@@ -88,7 +88,7 @@ public interface SwitchingFunction extends Serializable {
    * function must be continuous (at least in its roots neighborhood),
    * as the integrator will need to find its roots to locate the events.</p>
 
-   * @param t current value of the independant <i>time</i> variable
+   * @param t current value of the independent <i>time</i> variable
    * @param y array containing the current value of the state vector
    * @return value of the g function
    */
@@ -122,7 +122,7 @@ public interface SwitchingFunction extends Serializable {
    *   will continue.</li>
    * </ul>
 
-   * @param t current value of the independant <i>time</i> variable
+   * @param t current value of the independent <i>time</i> variable
    * @param y array containing the current value of the state vector
    * @return indication of what the integrator should do next, this
    * value must be one of {@link #STOP}, {@link #RESET_STATE},
@@ -141,7 +141,7 @@ public interface SwitchingFunction extends Serializable {
    * #RESET_STATE} indicator, this function will never be called, and it is
    * safe to leave its body empty.</p>
 
-   * @param t current value of the independant <i>time</i> variable
+   * @param t current value of the independent <i>time</i> variable
    * @param y array containing the current value of the state vector
    * the new state should be put in the same array
    */

src/java/org/apache/commons/math/ode/SwitchingFunctionsHandler.java

@@ -136,7 +136,7 @@ public class SwitchingFunctionsHandler {
 
   /** Inform the switching functions that the step has been accepted
    * by the integrator.
-   * @param t value of the independant <i>time</i> variable at the
+   * @param t value of the independent <i>time</i> variable at the
    * end of the step
    * @param y array containing the current value of the state vector
    * at the end of the step
@@ -161,7 +161,7 @@ public class SwitchingFunctionsHandler {
   }
 
   /** Let the switching functions reset the state if they want.
-   * @param t value of the independant <i>time</i> variable at the
+   * @param t value of the independent <i>time</i> variable at the
    * beginning of the next step
    * @param y array were to put the desired state vector at the beginning
    * of the next step

src/java/org/apache/commons/math/random/CorrelatedRandomVectorGenerator.java

@@ -40,7 +40,7 @@ import org.apache.commons.math.linear.RealMatrixImpl;
  * GaussianRandomGenerator} or {@link UniformRandomGenerator}.</p>
  * <p>Sometimes, the covariance matrix for a given simulation is not
  * strictly positive definite. This means that the correlations are
- * not all independant from each other. In this case, however, the non
+ * not all independent from each other. In this case, however, the non
  * strictly positive elements found during the Cholesky decomposition
  * of the covariance matrix should not be negative either, they
  * should be null. Another non-conventional extension handling this case
@@ -141,7 +141,7 @@ implements RandomVectorGenerator {
     }
 
     /** Get the rank of the covariance matrix.
-     * The rank is the number of independant rows in the covariance
+     * The rank is the number of independent rows in the covariance
      * matrix, it is also the number of columns of the rectangular
      * matrix of the decomposition.
      * @return rank of the square matrix.