Package org.hipparchus.analysis.solvers

Interface BaseUnivariateSolver<F extends UnivariateFunction>

Type Parameters:
F - Type of function to solve.
All Known Subinterfaces:
BracketedUnivariateSolver<F>, PolynomialSolver, UnivariateDifferentiableSolver, UnivariateSolver
All Known Implementing Classes:
AbstractPolynomialSolver, AbstractUnivariateDifferentiableSolver, AbstractUnivariateSolver, BaseAbstractUnivariateSolver, BaseSecantSolver, BisectionSolver, BracketingNthOrderBrentSolver, BrentSolver, IllinoisSolver, LaguerreSolver, MullerSolver, MullerSolver2, NewtonRaphsonSolver, PegasusSolver, RegulaFalsiSolver, RiddersSolver, SecantSolver
public interface BaseUnivariateSolver<F extends UnivariateFunction>
Interface for (univariate real) rootfinding algorithms. Implementations will search for only one zero in the given interval. This class is not intended for use outside of the Hipparchus library, regular user should rely on more specific interfaces like UnivariateSolver, PolynomialSolver or UnivariateDifferentiableSolver.
See Also:

  • Method Summary

    Modifier and Type
    Method
    Description
    double
    getAbsoluteAccuracy()
    Get the absolute accuracy of the solver.
    int
    getEvaluations()
    Get the number of evaluations of the objective function.
    double
    getFunctionValueAccuracy()
    Get the function value accuracy of the solver.
    double
    getRelativeAccuracy()
    Get the relative accuracy of the solver.
    double
    solve(int maxEval, F f, double startValue)
    Solve for a zero in the vicinity of startValue.
    double
    solve(int maxEval, F f, double min, double max)
    Solve for a zero root in the given interval.
    double
    solve(int maxEval, F f, double min, double max, double startValue)
    Solve for a zero in the given interval, start at startValue.

  • Method Details

    • getEvaluations

      int getEvaluations()
      Get the number of evaluations of the objective function. The number of evaluations corresponds to the last call to the optimize method. It is 0 if the method has not been called yet.
      Returns:
      the number of evaluations of the objective function.

    • getAbsoluteAccuracy

      double getAbsoluteAccuracy()
      Get the absolute accuracy of the solver. Solutions returned by the solver should be accurate to this tolerance, i.e., if ε is the absolute accuracy of the solver and v is a value returned by one of the solve methods, then a root of the function should exist somewhere in the interval (v - ε, v + ε).
      Returns:
      the absolute accuracy.

    • getRelativeAccuracy

      double getRelativeAccuracy()
      Get the relative accuracy of the solver. The contract for relative accuracy is the same as getAbsoluteAccuracy(), but using relative, rather than absolute error. If ρ is the relative accuracy configured for a solver and v is a value returned, then a root of the function should exist somewhere in the interval (v - ρ v, v + ρ v).
      Returns:
      the relative accuracy.

    • getFunctionValueAccuracy

      double getFunctionValueAccuracy()
      Get the function value accuracy of the solver. If v is a value returned by the solver for a function f, then by contract, |f(v)| should be less than or equal to the function value accuracy configured for the solver.
      Returns:
      the function value accuracy.

    • solve

      double solve(int maxEval, F f, double min, double max) throws MathIllegalArgumentException, MathIllegalStateException
      Solve for a zero root in the given interval. A solver may require that the interval brackets a single zero root. Solvers that do require bracketing should be able to handle the case where one of the endpoints is itself a root.
      Parameters:
      maxEval - Maximum number of evaluations.
      f - Function to solve.
      min - Lower bound for the interval.
      max - Upper bound for the interval.
      Returns:
      a value where the function is zero.
      Throws:
      MathIllegalArgumentException - if the arguments do not satisfy the requirements specified by the solver.
      MathIllegalStateException - if the allowed number of evaluations is exceeded.

    • solve

      double solve(int maxEval, F f, double min, double max, double startValue) throws MathIllegalArgumentException, MathIllegalStateException
      Solve for a zero in the given interval, start at startValue. A solver may require that the interval brackets a single zero root. Solvers that do require bracketing should be able to handle the case where one of the endpoints is itself a root.
      Parameters:
      maxEval - Maximum number of evaluations.
      f - Function to solve.
      min - Lower bound for the interval.
      max - Upper bound for the interval.
      startValue - Start value to use.
      Returns:
      a value where the function is zero.
      Throws:
      MathIllegalArgumentException - if the arguments do not satisfy the requirements specified by the solver.
      MathIllegalStateException - if the allowed number of evaluations is exceeded.

    • solve

      double solve(int maxEval, F f, double startValue)
      Solve for a zero in the vicinity of startValue.
      Parameters:
      f - Function to solve.
      startValue - Start value to use.
      maxEval - Maximum number of evaluations.
      Returns:
      a value where the function is zero.
      Throws:
      MathIllegalArgumentException - if the arguments do not satisfy the requirements specified by the solver.
      MathIllegalStateException - if the allowed number of evaluations is exceeded.