EquationSolver<T> Class

Serves as an abstract base class for root finders.

Definition

Namespace: Numerics.NET.EquationSolvers.Generic
Assembly: Numerics.NET.Generic (in Numerics.NET.Generic.dll) Version: 9.0.3
C#
public abstract class EquationSolver<T> : IterativeAlgorithm<T>
where T : Object, INumber<T>
Inheritance
Object  →  ManagedIterativeAlgorithm<T, T, SolutionReport<T, T>>  →  IterativeAlgorithm<T>  →  EquationSolver<T>
Derived

Type Parameters

T

Remarks

The EquationSolver class is the abstract base class of all classes that implement equation solving algorithms. The class inherits from IterativeAlgorithm<T>. All the properties and methods exposed by this interface are available to all derived classes.

This class cannot be instantiated directly. Instead, use one of the following derived classes:

  • BisectionSolver – Represents a EquationSolver that uses the bisection algorithm.
  • RegulaFalsiSolver – Represents a root finder that uses the regula falsi or false position algorithm.
  • DekkerBrentSolver – Represents a root finder that uses Dekker and Brent's root bracketing algorithm.
  • TOMS748Solver – Represents a root finder that uses Algorithm 748 from the ACM's Transactions On Mathematical Software (TOMS).
  • NewtonRaphsonSolver – Represents a root finder based on the Newton-Raphson algorithm.

Constructors

EquationSolver<T>() Constructs a new EquationSolver object.
EquationSolver<T>(Func<T, T>) Constructs a new EquationSolver object for the specified target function.
EquationSolver<T>(Func<T, T>, T, T) Constructs a new EquationSolver object for the specified target function and convergence parameters.
EquationSolver<T>(Func<T, T>, ConvergenceCriterion, T) Constructs a new EquationSolver object for the specified target function and tolerance.
EquationSolver<T>(Func<T, T>, T, T, ConvergenceCriterion, T) Constructs a new EquationSolver object for the specified target function and tolerance.

Properties

AbsoluteTolerance Gets or sets the absolute tolerance used in the convergence test.
(Inherited from IterativeAlgorithm<T>)
ConvergenceCriterion Gets or sets a value specifying the criterion that is to be used in the convergence test for the algorithm.
(Inherited from IterativeAlgorithm<T>)
ConvergenceTest Gets the convergence test for the algorithm.
(Inherited from IterativeAlgorithm<T>)
ConvergenceTests Gets the collection of convergence tests for the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
CurrentError Gets the estimated error of the approximation of the result at the current iteration.
(Inherited from IterativeAlgorithm<T>)
CurrentLowerBound Gets the lower bound of the convergence interval at the current iteration.
CurrentResult Gets the approximation of the result at the current iteration.
(Inherited from IterativeAlgorithm<T>)
CurrentUpperBound Gets the upper bound of the convergence interval at the current iteration.
EstimatedError Gets a value indicating the size of the absolute error of the result.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
EvaluationsNeeded Gets the number of evaluations needed to execute the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
EvaluationsRemaining Gets the number of evaluations still available.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
HasSharedDegreeOfParallelism Indicates whether the degree of parallelism is a property that is shared across instances.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
IterationsNeeded Gets the number of iterations needed by the algorithm to reach the desired accuracy.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
IterationsRemaining Gets the number of iterations remaining.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
LowerBound Gets or sets the lower bound for the solution.
MaxDegreeOfParallelism Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
MaxEvaluations Gets or sets the maximum number of evaluations during the calculation.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
MaxIterationsGets or sets the maximum number of iterations to use when approximating the roots of the target function.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
MinIterations Gets or sets the minimum iterations that have to be performed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ParallelOptions Gets or sets the configuration for the parallel behavior of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
RelativeTolerance Gets or sets the relative tolerance used in the convergence test.
(Inherited from IterativeAlgorithm<T>)
Result Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
RightHandSide Gets or sets the value of the target function to solve for.
SolutionReport Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Status Gets the AlgorithmStatus following an execution of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
TargetFunction Gets or sets the target function for the EquationSolver.
ThrowExceptionOnFailure Gets or sets whether to throw an exception when the algorithm fails to converge.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
UpperBound Gets or sets the upper bound for the solution.

Methods

EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
ErrorEvaluator Returns the estimated error for testing whether the algorithm has converged.
(Inherited from IterativeAlgorithm<T>)
Evaluate Evaluates the target function and increments the number of evaluations.
FinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetTypeGets the Type of the current instance.
(Inherited from Object)
IncrementEvaluations() Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
IncrementEvaluations(Int32) Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Iterate Performs one iteration of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Iterated Performs tasks after the iteration is completed, but before the status of the algorithm is finalized.
(Inherited from IterativeAlgorithm<T>)
MemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
OnConvergence Performs any tasks after the main algorithm has converged.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
OnFailure Performs any tasks after the main algorithm has failed to converge.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
OnInit Performs initialization tasks when the algorithm is first run.
(Inherited from IterativeAlgorithm<T>)
ReportFailure(AlgorithmStatus) Reports that the algoritm has failed. No further iterations will be performed.
(Inherited from IterativeAlgorithm<T>)
ReportFailure(T, TError, AlgorithmStatus) Records the results of an algorithm in case it fails.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ReportResult Records the results of an algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ReportSuccess() Reports that the algoritm has succeeded. No further iterations will be performed.
(Inherited from IterativeAlgorithm<T>)
ReportSuccess(T, TError) Records the results of a algorithm that converged successfully.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ResetEvaluations Resets the number of evaluations to zero.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Restart Prepares the algorithm to be run again with possibly different inputs.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Run() Runs the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Run(ParallelOptions) Runs the algorithm using the specified parallelization options.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
SetResult Sets the results of an algorithm's execution.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Solve() Attempts to find a root or zero of the target function.
Solve(T) Attempts to find the point where the target function equals the specified value.
TestConvergence Checks whether the algorithm has converged.
(Inherited from IterativeAlgorithm<T>)
ThreadSafeIncrementEvaluations() Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ThreadSafeIncrementEvaluations(Int32) Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ThrowConvergenceException Interprets the AlgorithmStatus and throws the appropriate exception.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ToStringReturns a string that represents the current object.
(Inherited from Object)
UpdateCurrentResult Updates the current approximation in a point-wise convergence.
(Inherited from IterativeAlgorithm<T>)
ValueEvaluator Returns the value to compare the estimated error to when testing whether the algorithm has converged.
(Inherited from IterativeAlgorithm<T>)

Fields

DefaultMaxIterations Specifies the default maximum number of iterations to use when approximating the roots of the target function.

See Also