org.apache.commons.math3.analysis.integration

## Class LegendreGaussIntegrator

- java.lang.Object
- - org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  - - org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator

- All Implemented Interfaces:
    UnivariateIntegrator

  Deprecated.
  As of 3.1 (to be removed in 4.0). Please use `IterativeLegendreGaussIntegrator` instead.

      @Deprecated
      public class LegendreGaussIntegrator
      extends BaseAbstractUnivariateIntegrator

  Implements the Legendre-Gauss quadrature formula.

  Legendre-Gauss integrators are efficient integrators that can accurately integrate functions with few function evaluations. A Legendre-Gauss integrator using an n-points quadrature formula can integrate 2n-1 degree polynomials exactly.

  These integrators evaluate the function on n carefully chosen abscissas in each step interval (mapped to the canonical [-1,1] interval). The evaluation abscissas are not evenly spaced and none of them are at the interval endpoints. This implies the function integrated can be undefined at integration interval endpoints.

  The evaluation abscissas xi are the roots of the degree n Legendre polynomial. The weights ai of the quadrature formula integrals from -1 to +1 ∫ Li2 where Li (x) = ∏ (x-xk)/(xi-xk) for k != i.

  Since:
    1.2

- - ### Field Summary

    - ### Fields inherited from class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator

      `DEFAULT_ABSOLUTE_ACCURACY, DEFAULT_MAX_ITERATIONS_COUNT, DEFAULT_MIN_ITERATIONS_COUNT, DEFAULT_RELATIVE_ACCURACY, iterations`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `LegendreGaussIntegrator(int n, double relativeAccuracy, double absoluteAccuracy)` Deprecated. Build a Legendre-Gauss integrator with given accuracies.
    `LegendreGaussIntegrator(int n, double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Deprecated. Build a Legendre-Gauss integrator with given accuracies and iterations counts.
    `LegendreGaussIntegrator(int n, int minimalIterationCount, int maximalIterationCount)` Deprecated. Build a Legendre-Gauss integrator with given iteration counts.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `protected double` | `doIntegrate()` Deprecated. Method for implementing actual integration algorithms in derived classes.

    - ### Methods inherited from class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator

      `computeObjectiveValue, getAbsoluteAccuracy, getEvaluations, getIterations, getMax, getMaximalIterationCount, getMin, getMinimalIterationCount, getRelativeAccuracy, incrementCount, integrate, setup`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### LegendreGaussIntegrator

          public LegendreGaussIntegrator(int n,
                                 double relativeAccuracy,
                                 double absoluteAccuracy,
                                 int minimalIterationCount,
                                 int maximalIterationCount)
                                  throws MathIllegalArgumentException,
                                         NotStrictlyPositiveException,
                                         NumberIsTooSmallException

      Deprecated.
      Build a Legendre-Gauss integrator with given accuracies and iterations counts.
      Parameters:
        `n` - number of points desired (must be between 2 and 5 inclusive)
        `relativeAccuracy` - relative accuracy of the result
        `absoluteAccuracy` - absolute accuracy of the result
        `minimalIterationCount` - minimum number of iterations
        `maximalIterationCount` - maximum number of iterations
      Throws:
        `MathIllegalArgumentException` - if number of points is out of [2; 5]
        `NotStrictlyPositiveException` - if minimal number of iterations is not strictly positive
        `NumberIsTooSmallException` - if maximal number of iterations is lesser than or equal to the minimal number of iterations

    - #### LegendreGaussIntegrator

          public LegendreGaussIntegrator(int n,
                                 double relativeAccuracy,
                                 double absoluteAccuracy)
                                  throws MathIllegalArgumentException

      Deprecated.
      Build a Legendre-Gauss integrator with given accuracies.
      Parameters:
        `n` - number of points desired (must be between 2 and 5 inclusive)
        `relativeAccuracy` - relative accuracy of the result
        `absoluteAccuracy` - absolute accuracy of the result
      Throws:
        `MathIllegalArgumentException` - if number of points is out of [2; 5]

    - #### LegendreGaussIntegrator

          public LegendreGaussIntegrator(int n,
                                 int minimalIterationCount,
                                 int maximalIterationCount)
                                  throws MathIllegalArgumentException

      Deprecated.
      Build a Legendre-Gauss integrator with given iteration counts.
      Parameters:
        `n` - number of points desired (must be between 2 and 5 inclusive)
        `minimalIterationCount` - minimum number of iterations
        `maximalIterationCount` - maximum number of iterations
      Throws:
        `MathIllegalArgumentException` - if number of points is out of [2; 5]
        `NotStrictlyPositiveException` - if minimal number of iterations is not strictly positive
        `NumberIsTooSmallException` - if maximal number of iterations is lesser than or equal to the minimal number of iterations

  - ### Method Detail

    - #### doIntegrate

          protected double doIntegrate()
                                throws MathIllegalArgumentException,
                                       TooManyEvaluationsException,
                                       MaxCountExceededException

      Deprecated.
      Method for implementing actual integration algorithms in derived classes.
      Specified by:
        `doIntegrate` in class `BaseAbstractUnivariateIntegrator`
      Returns:
        the root.
      Throws:
        `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.
        `MaxCountExceededException` - if the maximum iteration count is exceeded or the integrator detects convergence problems otherwise
        `MathIllegalArgumentException`

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