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• Extreme.Mathematics.Algorithms
  • AlgorithmHelper Class
  • ConvergenceException Class
  • ConvergenceMode Enumeration
  • ConvergenceTest(T) Class
  • ConvergenceTestCollection(T) Class
  • ConvergenceTestQuantifier Enumeration
  • IterativeAlgorithm Class
  • ManagedIterativeAlgorithm Class
  • ManagedIterativeAlgorithm(T) Class
  • ManagedIterativeAlgorithm(T, TError, TReport) Class
  • OptimizationGoal Enumeration
  • SimpleConvergenceTest Class
  • SimpleConvergenceTest(T) Class
  • VectorConvergenceErrorMeasure Enumeration
  • VectorConvergenceNorm Enumeration
  • VectorConvergenceTest Class
  • VectorConvergenceTest(T) Class

Extreme.Mathematics.Algorithms Namespace

Extreme Optimization Numerical Libraries for .NET Professional

The Extreme.Mathematics.Algorithms namespace contains fundamental classes and base classes used for the implementation of numerical algorithms.

Classes

---

	Class	Description
	AlgorithmHelper	Contains general methods that support several algorithm implementations.
	ConvergenceException	Represents an exception that is thrown when an algorithm fails to converge.
	ConvergenceTestT	Represents a convergence test for a IterativeAlgorithm.
	ConvergenceTestCollectionT	Represents a collection of convergence tests for an IterativeAlgorithm.
	IterativeAlgorithm	Acts as an abstract base class for classes that implement an iterative algorithm.
	ManagedIterativeAlgorithm	Represents an implementation of an iterative algorithm that uses a managed driver routine.
	ManagedIterativeAlgorithmT	Represents an implementation of an iterative algorithm that uses a managed driver routine.
	ManagedIterativeAlgorithmT, TError, TReport	Represents an implementation of an iterative algorithm that uses a managed driver routine.
	SimpleConvergenceTest	Represents a convergence test of a real value.
	SimpleConvergenceTestT	Represents a convergence test.
	VectorConvergenceTest	Represents a convergence test based on the size of a real vector.
	VectorConvergenceTestT	Represents a convergence test based on the size of a vector.

Enumerations

---

	Enumeration	Description
	ConvergenceMode	Represents the ways an IterativeAlgorithm can converge to its final value.
	ConvergenceTestQuantifier	Enumerates the possible ways tests in a ConvergenceTestCollectionT are combined.
	OptimizationGoal	Enumerates the possible goals for the solution of an optimization problem.
	VectorConvergenceErrorMeasure	Enumerates the ways to measure the error in a VectorConvergenceTestT.
	VectorConvergenceNorm	Enumerates the possible norms to be used in a VectorConvergenceTestT.

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