public class RombergIntegrator extends BaseAbstractUnivariateIntegrator
Romberg integration employs k successive refinements of the trapezoid rule to remove error terms less than order O(N^(-2k)). Simpson's rule is a special case of k = 2.
| Modifier and Type | Field and Description | 
|---|---|
| static int | ROMBERG_MAX_ITERATIONS_COUNTMaximal number of iterations for Romberg. | 
DEFAULT_ABSOLUTE_ACCURACY, DEFAULT_MAX_ITERATIONS_COUNT, DEFAULT_MIN_ITERATIONS_COUNT, DEFAULT_RELATIVE_ACCURACY, iterations| Constructor and Description | 
|---|
| RombergIntegrator()Construct a Romberg integrator with default settings
 (max iteration count set to  ROMBERG_MAX_ITERATIONS_COUNT) | 
| RombergIntegrator(double relativeAccuracy,
                 double absoluteAccuracy,
                 int minimalIterationCount,
                 int maximalIterationCount)Build a Romberg integrator with given accuracies and iterations counts. | 
| RombergIntegrator(int minimalIterationCount,
                 int maximalIterationCount)Build a Romberg integrator with given iteration counts. | 
| Modifier and Type | Method and Description | 
|---|---|
| protected double | doIntegrate()Method for implementing actual integration algorithms in derived
 classes. | 
computeObjectiveValue, getAbsoluteAccuracy, getEvaluations, getIterations, getMax, getMaximalIterationCount, getMin, getMinimalIterationCount, getRelativeAccuracy, integrate, setuppublic static final int ROMBERG_MAX_ITERATIONS_COUNT
public RombergIntegrator(double relativeAccuracy,
                         double absoluteAccuracy,
                         int minimalIterationCount,
                         int maximalIterationCount)
                  throws MathIllegalArgumentException
relativeAccuracy - relative accuracy of the resultabsoluteAccuracy - absolute accuracy of the resultminimalIterationCount - minimum number of iterationsmaximalIterationCount - maximum number of iterations
 (must be less than or equal to ROMBERG_MAX_ITERATIONS_COUNT)MathIllegalArgumentException - if minimal number of iterations
 is not strictly positiveMathIllegalArgumentException - if maximal number of iterations
 is lesser than or equal to the minimal number of iterationsMathIllegalArgumentException - if maximal number of iterations
 is greater than ROMBERG_MAX_ITERATIONS_COUNTpublic RombergIntegrator(int minimalIterationCount,
                         int maximalIterationCount)
                  throws MathIllegalArgumentException
minimalIterationCount - minimum number of iterationsmaximalIterationCount - maximum number of iterations
 (must be less than or equal to ROMBERG_MAX_ITERATIONS_COUNT)MathIllegalArgumentException - if minimal number of iterations
 is not strictly positiveMathIllegalArgumentException - if maximal number of iterations
 is lesser than or equal to the minimal number of iterationsMathIllegalArgumentException - if maximal number of iterations
 is greater than ROMBERG_MAX_ITERATIONS_COUNTpublic RombergIntegrator()
ROMBERG_MAX_ITERATIONS_COUNT)protected double doIntegrate()
                      throws MathIllegalStateException
doIntegrate in class BaseAbstractUnivariateIntegratorMathIllegalStateException - if the maximal number of evaluations
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