Assembly: Extreme.Numerics (Extreme.Numerics)
Syntax
| Visual Basic (Declaration) |
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Public NotInheritable Class MidpointIntegrator _ Inherits NumericalIntegrator |
| C# |
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public sealed class MidpointIntegrator : NumericalIntegrator |
| C++ |
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public ref class MidpointIntegrator sealed : public NumericalIntegrator |
Methods
| Icon | Type | Description |
|---|---|---|
| Equals(Object) | ||
| Finalize() | ||
| GetHashCode() | Serves as a hash function for a particular type. | |
| GetType() | Gets the Type of the current instance. | |
| IncrementEvaluations() |
Increments the number of evaluations by one.
| |
| IncrementEvaluations(Int32) |
Increments the number of evaluations by the specified amount.
| |
| Integrate() |
Numerically integrates a function of one variable.
| |
| Integrate(Double, Double) |
Numerically integrates a function of one variable.
| |
| Integrate(RealFunction, Double, Double) |
Numerically integrates a function of one variable.
| |
| MemberwiseClone() | Creates a shallow copy of the current Object. | |
| SetResultProperties(Object, Double, AlgorithmStatus, Int32) |
Sets the results of an algorithm's execution.
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| SetResultProperties(Object, Double) |
Sets the results of an algorithm's execution.
| |
| ThrowException() |
Interprets the AlgorithmStatus and
throws the appropriate exception.
| |
| ToString() |
Constructors
| Icon | Type | Description |
|---|---|---|
| MidpointIntegratorNew() |
Constructs a new MidpointIntegrator object.
|
Properties
| Icon | Type | Description |
|---|---|---|
| AbsoluteTolerance |
Gets or sets the absolute tolerance used in the
convergence test.
| |
| ConvergenceCriterion |
Gets or sets a value specifying the criterion that is
to be used in the convergence test for the algorithm.
| |
| EstimatedError |
Gets a value indicating the size of the absolute
error of the result.
| |
| EvaluationsNeeded |
Gets the number of evaluations needed to execute the algorithm.
| |
| EvaluationsRemaining |
Gets the number of evaluations still available.
| |
| FunctionEvaluationsNeeded |
Gets the number of function evaluations performed by the
algorithm.
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| Integrand |
Gets or sets the function to integrate.
| |
| IterationResultCode |
Gets the AlgorithmStatus following
an execution of the algorithm.
| |
| IterationsNeeded |
Gets the number of iterations needed by the
algorithm to reach the desired accuracy.
| |
| IterationsRemaining |
Gets the number of iterations remaining.
| |
| LowerBound |
Gets or sets the lower bound of the integration interval.
| |
| MaxEvaluations |
Gets or sets the maximum number of evaluations during the calculation.
| |
| MaxIterations | Gets or sets the maximum number of iterations
to use when approximating the roots of the target
function.
| |
| Order |
Gets the order of the numerical integrator.
| |
| RelativeTolerance |
Gets or sets the relative tolerance used in the
convergence test.
| |
| Result |
Gets the result of an algorithm after it has executed.
| |
| Status |
Gets the AlgorithmStatus following
an execution of the algorithm.
| |
| ThrowExceptionOnFailure |
Gets or sets a value indicating whether to throw an
exception when the algorithm fails to converge.
| |
| UpperBound |
Gets or sets the upper bound of the integration interval.
|
Remarks
This algorithm is of order 1. In each iteration, the number of points is doubled. The difference between successive approximations is taken as the estimate for the integration error.
Because the order of the algorithm is so low, use of this algorithm is not generally recommended for general use. The fact that previous integration points are not re-used makes this algorithm extra inefficient. However, it does provide a unique feature in that can produce absolute bounds on the value of the integral of some functions. It produces an upper bound for concave integrands, and a lower bound for convex integrands. Complementary bounds are produced by the TrapezoidIntegrator.
Inheritance Hierarchy
Extreme.Mathematics.IterativeAlgorithm
Extreme.Mathematics.Calculus.NumericalIntegrator
Extreme.Mathematics.Calculus.MidpointIntegrator