@PublicationReference(author="Wikipedia", title="Newton\'s Method", type=WebPage, year=2010, url="http://en.wikipedia.org/wiki/Newton%27s_method") public class RootFinderNewtonsMethod extends AbstractRootFinder
| Modifier and Type | Field and Description |
|---|---|
DefaultInputOutputPair<java.lang.Double,java.lang.Double> |
result
Resulting estimated location of the root.
|
DEFAULT_MAX_ITERATIONS, DEFAULT_TOLERANCEdata, keepGoingmaxIterationsDEFAULT_ITERATION, iteration| Constructor and Description |
|---|
RootFinderNewtonsMethod()
Creates a new instance of RootFinderNewtonsMethod
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
cleanupAlgorithm()
Called to clean up the learning algorithm's state after learning has
finished.
|
RootFinderNewtonsMethod |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
DefaultInputOutputPair<java.lang.Double,java.lang.Double> |
getResult()
Gets the current result of the algorithm.
|
protected boolean |
initializeAlgorithm()
Called to initialize the learning algorithm's state based on the
data that is stored in the data field.
|
protected boolean |
step()
Called to take a single step of the learning algorithm.
|
getInitialGuess, getPerformance, getTolerance, setInitialGuess, setTolerancegetData, getKeepGoing, learn, setData, setKeepGoing, stopgetMaxIterations, isResultValid, setMaxIterationsaddIterativeAlgorithmListener, fireAlgorithmEnded, fireAlgorithmStarted, fireStepEnded, fireStepStarted, getIteration, getListeners, removeIterativeAlgorithmListener, setIteration, setListenersequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitlearngetMaxIterations, setMaxIterationsaddIterativeAlgorithmListener, getIteration, removeIterativeAlgorithmListenerisResultValid, stoppublic DefaultInputOutputPair<java.lang.Double,java.lang.Double> result
public RootFinderNewtonsMethod()
public RootFinderNewtonsMethod clone()
AbstractCloneableSerializableObject class and
removes the exception that it throws. Its default behavior is to
automatically create a clone of the exact type of object that the
clone is called on and to copy all primitives but to keep all references,
which means it is a shallow copy.
Extensions of this class may want to override this method (but call
super.clone() to implement a "smart copy". That is, to target
the most common use case for creating a copy of the object. Because of
the default behavior being a shallow copy, extending classes only need
to handle fields that need to have a deeper copy (or those that need to
be reset). Some of the methods in ObjectUtil may be helpful in
implementing a custom clone method.
Note: The contract of this method is that you must use
super.clone() as the basis for your implementation.clone in interface CloneableSerializableclone in class AbstractRootFinderprotected boolean initializeAlgorithm()
AbstractAnytimeBatchLearnerinitializeAlgorithm in class AbstractAnytimeBatchLearner<Evaluator<java.lang.Double,java.lang.Double>,InputOutputPair<java.lang.Double,java.lang.Double>>protected boolean step()
AbstractAnytimeBatchLearnerstep in class AbstractAnytimeBatchLearner<Evaluator<java.lang.Double,java.lang.Double>,InputOutputPair<java.lang.Double,java.lang.Double>>protected void cleanupAlgorithm()
AbstractAnytimeBatchLearnercleanupAlgorithm in class AbstractAnytimeBatchLearner<Evaluator<java.lang.Double,java.lang.Double>,InputOutputPair<java.lang.Double,java.lang.Double>>public DefaultInputOutputPair<java.lang.Double,java.lang.Double> getResult()
AnytimeAlgorithm